Files
ezra-environment/home/.skills_prompt_snapshot.json

2070 lines
60 KiB
JSON
Raw Normal View History

2026-04-03 22:42:06 +00:00
{
"version": 1,
"manifest": {
"apple/apple-notes/SKILL.md": [
1774803758708805180,
2187
],
"apple/apple-reminders/SKILL.md": [
1774803758708805180,
2548
],
"apple/findmy/SKILL.md": [
1774803758708805180,
3748
],
"apple/imessage/SKILL.md": [
1774803758708805180,
2442
],
"autonomous-ai-agents/claude-code/SKILL.md": [
1774803758709805192,
3147
],
"autonomous-ai-agents/codex/SKILL.md": [
1774803758709805192,
4101
],
"autonomous-ai-agents/hermes-agent/SKILL.md": [
1774803758709805192,
9144
],
"autonomous-ai-agents/opencode/SKILL.md": [
1774803758709805192,
7356
],
"creative/ascii-art/SKILL.md": [
1774803758710805203,
10631
],
"creative/ascii-video/SKILL.md": [
1774925189884526478,
12976
],
"creative/excalidraw/SKILL.md": [
1774803758714805249,
7252
],
"creative/songwriting-and-ai-music/SKILL.md": [
1774925189888526523,
10344
],
"data-science/jupyter-live-kernel/SKILL.md": [
1774803758715805261,
5571
],
"devops/agent-session-audit/SKILL.md": [
1774974589466928017,
5484
],
"devops/codebase-extraction-pipeline/SKILL.md": [
1774976710713577392,
5533
],
"devops/gitea-board-triage/SKILL.md": [
1774976727023778275,
4203
],
"devops/gitea-project-management/SKILL.md": [
1774959412441798307,
7064
],
"devops/gitea-scoping-audit/SKILL.md": [
1774959421138899246,
6809
],
"devops/gitea-wizard-onboarding/SKILL.md": [
1774891098609900302,
6421
],
"devops/hermes-telegram-cutover/SKILL.md": [
1774927139676419397,
4519
],
"devops/local-llama-tool-calling-debug/SKILL.md": [
1774836044526924244,
6170
],
"devops/local-timmy-overnight-loop/SKILL.md": [
1774836061194146022,
6173
],
"devops/openclaw-hermes-cohabitation/SKILL.md": [
1774974606805125337,
7478
],
"devops/prompt-injection-audit/SKILL.md": [
1774929772932688724,
3349
],
"devops/webhook-subscriptions/SKILL.md": [
1774803758715805261,
5704
],
"devops/wizard-house-birth/SKILL.md": [
1774926159226081667,
5873
],
"devops/wizard-house-remote-triage/SKILL.md": [
1774835179516691882,
5044
],
"devops/wizard-telegram-deployment/SKILL.md": [
1775102664057281330,
3490
],
"dogfood/SKILL.md": [
1774803758716805272,
6359
],
"dogfood/hermes-agent-setup/SKILL.md": [
1774803758716805272,
9504
],
"email/himalaya/SKILL.md": [
1774803758717805283,
6003
],
"gaming/minecraft-modpack-server/SKILL.md": [
1774803758717805283,
6662
],
"gaming/pokemon-player/SKILL.md": [
1774803758717805283,
8818
],
"github/codebase-inspection/SKILL.md": [
1774803758718805295,
3738
],
"github/github-auth/SKILL.md": [
1774803758718805295,
7673
],
"github/github-code-review/SKILL.md": [
1774803758718805295,
13639
],
"github/github-issues/SKILL.md": [
1774803758719805306,
9352
],
"github/github-pr-workflow/SKILL.md": [
1774803758719805306,
10085
],
"github/github-repo-management/SKILL.md": [
1774803758720805318,
13776
],
"inference-sh/cli/SKILL.md": [
1774803758722805341,
4656
],
"leisure/find-nearby/SKILL.md": [
1774803758723805352,
3088
],
"mcp/mcporter/SKILL.md": [
1774803758723805352,
3152
],
"mcp/native-mcp/SKILL.md": [
1774803758723805352,
12542
],
"media/gif-search/SKILL.md": [
1774803758724805364,
2687
],
"media/heartmula/SKILL.md": [
1774803758724805364,
6402
],
"media/songsee/SKILL.md": [
1774803758724805364,
2441
],
"media/youtube-content/SKILL.md": [
1774803758724805364,
2550
],
"mlops/cloud/lambda-labs/SKILL.md": [
1774803758725805375,
12178
],
"mlops/cloud/modal/SKILL.md": [
1774803758725805375,
8580
],
"mlops/evaluation/huggingface-tokenizers/SKILL.md": [
1774803758726805387,
13699
],
"mlops/evaluation/lm-evaluation-harness/SKILL.md": [
1774803758727805398,
11920
],
"mlops/evaluation/nemo-curator/SKILL.md": [
1774803758728805410,
9363
],
"mlops/evaluation/saelens/SKILL.md": [
1774803758728805410,
12779
],
"mlops/evaluation/weights-and-biases/SKILL.md": [
1774803758729805421,
12479
],
"mlops/huggingface-hub/SKILL.md": [
1774803758730805433,
3750
],
"mlops/inference/gguf/SKILL.md": [
1774803758731805444,
10345
],
"mlops/inference/guidance/SKILL.md": [
1774803758731805444,
14540
],
"mlops/inference/instructor/SKILL.md": [
1774803758732805455,
16852
],
"mlops/inference/llama-cpp/SKILL.md": [
1774803758732805455,
5937
],
"mlops/inference/obliteratus/SKILL.md": [
1774803758733805467,
15366
],
"mlops/inference/outlines/SKILL.md": [
1774803758734805478,
15976
],
"mlops/inference/tensorrt-llm/SKILL.md": [
1774803758735805490,
5064
],
"mlops/inference/vllm/SKILL.md": [
1774803758735805490,
9051
],
"mlops/llama-server-local-agent-tuning/SKILL.md": [
1774884326833485484,
3086
],
"mlops/models/audiocraft/SKILL.md": [
1774803758736805501,
16333
],
"mlops/models/clip/SKILL.md": [
1774803758737805513,
6909
],
"mlops/models/llava/SKILL.md": [
1774803758737805513,
7858
],
"mlops/models/segment-anything/SKILL.md": [
1774803758738805524,
13428
],
"mlops/models/stable-diffusion/SKILL.md": [
1774803758738805524,
13014
],
"mlops/models/whisper/SKILL.md": [
1774803758739805536,
7491
],
"mlops/research/dspy/SKILL.md": [
1774803758739805536,
15316
],
"mlops/training/accelerate/SKILL.md": [
1774803758740805547,
8365
],
"mlops/training/axolotl/SKILL.md": [
1774803758741805559,
4822
],
"mlops/training/flash-attention/SKILL.md": [
1774803758744805593,
10226
],
"mlops/training/grpo-rl-training/SKILL.md": [
1774803758744805593,
17225
],
"mlops/training/hermes-atropos-environments/SKILL.md": [
1774803758744805593,
13426
],
"mlops/training/peft/SKILL.md": [
1774803758745805605,
12235
],
"mlops/training/pytorch-fsdp/SKILL.md": [
1774803758747805627,
160170
],
"mlops/training/pytorch-lightning/SKILL.md": [
1774803758750805662,
9146
],
"mlops/training/simpo/SKILL.md": [
1774803758751805673,
5941
],
"mlops/training/slime/SKILL.md": [
1774803758751805673,
11625
],
"mlops/training/torchtitan/SKILL.md": [
1774803758752805685,
8952
],
"mlops/training/trl-fine-tuning/SKILL.md": [
1774803758753805696,
11476
],
"mlops/training/unsloth/SKILL.md": [
1774803758753805696,
2332
],
"mlops/vector-databases/chroma/SKILL.md": [
1774803758770805891,
9190
],
"mlops/vector-databases/faiss/SKILL.md": [
1774803758770805891,
5073
],
"mlops/vector-databases/pinecone/SKILL.md": [
1774803758771805903,
7852
],
"mlops/vector-databases/qdrant/SKILL.md": [
1774803758771805903,
13476
],
"note-taking/obsidian/SKILL.md": [
1774803758772805914,
1264
],
"productivity/google-workspace/SKILL.md": [
1774803758772805914,
8371
],
"productivity/linear/SKILL.md": [
1774803758773805926,
11324
],
"productivity/nano-pdf/SKILL.md": [
1774803758773805926,
1494
],
"productivity/notion/SKILL.md": [
1774803758773805926,
5300
],
"productivity/ocr-and-documents/SKILL.md": [
1774803758773805926,
5399
],
"productivity/powerpoint/SKILL.md": [
1774803758774805937,
9194
],
"red-teaming/godmode/SKILL.md": [
1774803758783806040,
20155
],
"research/arxiv/SKILL.md": [
1774803758785806063,
10212
],
"research/blogwatcher/SKILL.md": [
1774803758785806063,
1239
],
"research/domain-intel/SKILL.md": [
1774803758785806063,
4517
],
"research/duckduckgo-search/SKILL.md": [
1774803758786806075,
8422
],
"research/ml-paper-writing/SKILL.md": [
1774803758786806075,
35598
],
"research/polymarket/SKILL.md": [
1774803758801806247,
3046
],
"smart-home/openhue/SKILL.md": [
1774803758801806247,
2770
],
"social-media/telegram-bot-profile/SKILL.md": [
1774824573315796749,
3411
],
"social-media/xitter/SKILL.md": [
1774803758802806258,
6140
],
"software-development/code-review/SKILL.md": [
1774803758802806258,
2211
],
"software-development/plan/SKILL.md": [
1774803758802806258,
2069
],
"software-development/requesting-code-review/SKILL.md": [
1774803758802806258,
6149
],
"software-development/subagent-driven-development/SKILL.md": [
1774803758802806258,
9843
],
"software-development/systematic-debugging/SKILL.md": [
1774803758802806258,
10538
],
"software-development/test-driven-development/SKILL.md": [
1774803758803806270,
9625
],
"software-development/writing-plans/SKILL.md": [
1774803758803806270,
7309
],
"apple/DESCRIPTION.md": [
1774803758708805180,
152
],
"autonomous-ai-agents/DESCRIPTION.md": [
1774803758708805180,
211
],
"creative/DESCRIPTION.md": [
1774803758709805192,
116
],
"data-science/DESCRIPTION.md": [
1774803758715805261,
137
],
"diagramming/DESCRIPTION.md": [
1774803758715805261,
159
],
"domain/DESCRIPTION.md": [
1774803758716805272,
1142
],
"email/DESCRIPTION.md": [
1774803758716805272,
101
],
"feeds/DESCRIPTION.md": [
1774803758717805283,
115
],
"gaming/DESCRIPTION.md": [
1774803758717805283,
129
],
"gifs/DESCRIPTION.md": [
1774803758717805283,
109
],
"github/DESCRIPTION.md": [
1774803758718805295,
167
],
"inference-sh/DESCRIPTION.md": [
1774803758722805341,
706
],
"mcp/DESCRIPTION.md": [
1774803758723805352,
271
],
"media/DESCRIPTION.md": [
1774803758724805364,
139
],
"mlops/DESCRIPTION.md": [
1774803758724805364,
162
],
"mlops/cloud/DESCRIPTION.md": [
1774803758724805364,
92
],
"mlops/evaluation/DESCRIPTION.md": [
1774803758726805387,
126
],
"mlops/inference/DESCRIPTION.md": [
1774803758730805433,
161
],
"mlops/models/DESCRIPTION.md": [
1774803758736805501,
191
],
"mlops/research/DESCRIPTION.md": [
1774803758739805536,
113
],
"mlops/training/DESCRIPTION.md": [
1774803758740805547,
150
],
"mlops/vector-databases/DESCRIPTION.md": [
1774803758770805891,
125
],
"music-creation/DESCRIPTION.md": [
1774803758771805903,
117
],
"note-taking/DESCRIPTION.md": [
1774803758772805914,
146
],
"productivity/DESCRIPTION.md": [
1774803758772805914,
114
],
"productivity/ocr-and-documents/DESCRIPTION.md": [
1774803758773805926,
147
],
"research/DESCRIPTION.md": [
1774803758784806052,
179
],
"smart-home/DESCRIPTION.md": [
1774803758801806247,
123
],
"social-media/DESCRIPTION.md": [
1774803758801806247,
151
]
},
"skills": [
{
"skill_name": "apple-notes",
"category": "apple",
"frontmatter_name": "apple-notes",
"description": "",
"platforms": [
"macos"
],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "apple-reminders",
"category": "apple",
"frontmatter_name": "apple-reminders",
"description": "",
"platforms": [
"macos"
],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "findmy",
"category": "apple",
"frontmatter_name": "findmy",
"description": "",
"platforms": [
"macos"
],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "imessage",
"category": "apple",
"frontmatter_name": "imessage",
"description": "",
"platforms": [
"macos"
],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "claude-code",
"category": "autonomous-ai-agents",
"frontmatter_name": "claude-code",
"description": "Delegate coding tasks to Claude Code (Anthropic's CLI age...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "codex",
"category": "autonomous-ai-agents",
"frontmatter_name": "codex",
"description": "Delegate coding tasks to OpenAI Codex CLI agent. Use for ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "hermes-agent",
"category": "autonomous-ai-agents",
"frontmatter_name": "hermes-agent-spawning",
"description": "Spawn additional Hermes Agent instances as autonomous sub...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "opencode",
"category": "autonomous-ai-agents",
"frontmatter_name": "opencode",
"description": "Delegate coding tasks to OpenCode CLI agent for feature i...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "ascii-art",
"category": "creative",
"frontmatter_name": "ascii-art",
"description": "Generate ASCII art using pyfiglet (571 fonts), cowsay, bo...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "ascii-video",
"category": "creative",
"frontmatter_name": "ascii-video",
"description": "Production pipeline for ASCII art video — any format. Con...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "excalidraw",
"category": "creative",
"frontmatter_name": "excalidraw",
"description": "Create hand-drawn style diagrams using Excalidraw JSON fo...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "songwriting-and-ai-music",
"category": "creative",
"frontmatter_name": "songwriting-and-ai-music",
"description": "Songwriting craft, AI music generation prompts (Suno focu...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "jupyter-live-kernel",
"category": "data-science",
"frontmatter_name": "jupyter-live-kernel",
"description": "Use a live Jupyter kernel for stateful, iterative Python ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "agent-session-audit",
"category": "devops",
"frontmatter_name": "agent-session-audit",
"description": "Audit another agent's session behavior from screenshots, ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "codebase-extraction-pipeline",
"category": "devops",
"frontmatter_name": "codebase-extraction-pipeline",
"description": "Four-phase pipeline for extracting architectural knowledg...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "gitea-board-triage",
"category": "devops",
"frontmatter_name": "gitea-board-triage",
"description": "Full Gitea board sweep — triage issues, close stale, assi...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "gitea-project-management",
"category": "devops",
"frontmatter_name": "gitea-project-management",
"description": "Bulk Gitea project management via API — create issue back...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "gitea-scoping-audit",
"category": "devops",
"frontmatter_name": "gitea-scoping-audit",
"description": "Audit a Gitea backlog for scoping quality — identify thin...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "gitea-wizard-onboarding",
"category": "devops",
"frontmatter_name": "gitea-wizard-onboarding",
"description": "Onboard a wizard house agent into a Gitea instance — crea...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "hermes-telegram-cutover",
"category": "devops",
"frontmatter_name": "hermes-telegram-cutover",
"description": "Cut Telegram from OpenClaw to Hermes gateway — one bot to...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "local-llama-tool-calling-debug",
"category": "devops",
"frontmatter_name": "local-llama-tool-calling-debug",
"description": "Diagnose and fix local llama.cpp models that narrate tool...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "local-timmy-overnight-loop",
"category": "devops",
"frontmatter_name": "local-timmy-overnight-loop",
"description": "Deploy an unattended overnight loop that runs grounded ta...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "openclaw-hermes-cohabitation",
"category": "devops",
"frontmatter_name": "openclaw-hermes-cohabitation",
"description": "Architecture pattern for OpenClaw and Hermes running toge...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "prompt-injection-audit",
"category": "devops",
"frontmatter_name": "prompt-injection-audit",
"description": "Audit an agent architecture for prompt injection attack s...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "webhook-subscriptions",
"category": "devops",
"frontmatter_name": "webhook-subscriptions",
"description": "Create and manage webhook subscriptions for event-driven ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "wizard-house-birth",
"category": "devops",
"frontmatter_name": "wizard-house-birth",
"description": "Birth a new Hermes wizard house on a shared VPS with loca...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "wizard-house-remote-triage",
"category": "devops",
"frontmatter_name": "wizard-house-remote-triage",
"description": "Diagnose and fix a sibling wizard house that is unrespons...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "wizard-telegram-deployment",
"category": "devops",
"frontmatter_name": "wizard-telegram-deployment",
"description": "Deploy a wizard house bot with Gitea integration and Tele...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "dogfood",
"category": "dogfood",
"frontmatter_name": "dogfood",
"description": "Systematic exploratory QA testing of web applications — f...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "hermes-agent-setup",
"category": "dogfood",
"frontmatter_name": "hermes-agent-setup",
"description": "Help users configure Hermes Agent — CLI usage, setup wiza...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "himalaya",
"category": "email",
"frontmatter_name": "himalaya",
"description": "CLI to manage emails via IMAP/SMTP. Use himalaya to list,...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "minecraft-modpack-server",
"category": "gaming",
"frontmatter_name": "minecraft-modpack-server",
"description": "Set up a modded Minecraft server from a CurseForge/Modrin...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "pokemon-player",
"category": "gaming",
"frontmatter_name": "pokemon-player",
"description": "Play Pokemon games autonomously via headless emulation. S...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "codebase-inspection",
"category": "github",
"frontmatter_name": "codebase-inspection",
"description": "Inspect and analyze codebases using pygount for LOC count...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "github-auth",
"category": "github",
"frontmatter_name": "github-auth",
"description": "Set up GitHub authentication for the agent using git (uni...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "github-code-review",
"category": "github",
"frontmatter_name": "github-code-review",
"description": "Review code changes by analyzing git diffs, leaving inlin...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "github-issues",
"category": "github",
"frontmatter_name": "github-issues",
"description": "Create, manage, triage, and close GitHub issues. Search e...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "github-pr-workflow",
"category": "github",
"frontmatter_name": "github-pr-workflow",
"description": "Full pull request lifecycle — create branches, commit cha...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "github-repo-management",
"category": "github",
"frontmatter_name": "github-repo-management",
"description": "Clone, create, fork, configure, and manage GitHub reposit...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "cli",
"category": "inference-sh",
"frontmatter_name": "inference-sh-cli",
"description": "Run 150+ AI apps via inference.sh CLI (infsh) — image gen...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "find-nearby",
"category": "leisure",
"frontmatter_name": "find-nearby",
"description": "Find nearby places (restaurants, cafes, bars, pharmacies,...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "mcporter",
"category": "mcp",
"frontmatter_name": "mcporter",
"description": "Use the mcporter CLI to list, configure, auth, and call M...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "native-mcp",
"category": "mcp",
"frontmatter_name": "native-mcp",
"description": "Built-in MCP (Model Context Protocol) client that connect...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "gif-search",
"category": "media",
"frontmatter_name": "gif-search",
"description": "Search and download GIFs from Tenor using curl. No depend...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "heartmula",
"category": "media",
"frontmatter_name": "heartmula",
"description": "Set up and run HeartMuLa, the open-source music generatio...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "songsee",
"category": "media",
"frontmatter_name": "songsee",
"description": "Generate spectrograms and audio feature visualizations (m...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "youtube-content",
"category": "media",
"frontmatter_name": "youtube-content",
"description": "Fetch YouTube video transcripts and transform them into s...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "lambda-labs",
"category": "mlops/cloud",
"frontmatter_name": "lambda-labs-gpu-cloud",
"description": "Reserved and on-demand GPU cloud instances for ML trainin...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "modal",
"category": "mlops/cloud",
"frontmatter_name": "modal-serverless-gpu",
"description": "Serverless GPU cloud platform for running ML workloads. U...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "huggingface-tokenizers",
"category": "mlops/evaluation",
"frontmatter_name": "huggingface-tokenizers",
"description": "Fast tokenizers optimized for research and production. Ru...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "lm-evaluation-harness",
"category": "mlops/evaluation",
"frontmatter_name": "evaluating-llms-harness",
"description": "Evaluates LLMs across 60+ academic benchmarks (MMLU, Huma...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "nemo-curator",
"category": "mlops/evaluation",
"frontmatter_name": "nemo-curator",
"description": "GPU-accelerated data curation for LLM training. Supports ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "saelens",
"category": "mlops/evaluation",
"frontmatter_name": "sparse-autoencoder-training",
"description": "Provides guidance for training and analyzing Sparse Autoe...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "weights-and-biases",
"category": "mlops/evaluation",
"frontmatter_name": "weights-and-biases",
"description": "Track ML experiments with automatic logging, visualize tr...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "huggingface-hub",
"category": "mlops",
"frontmatter_name": "huggingface-hub",
"description": "Hugging Face Hub CLI (hf) — search, download, and upload ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "gguf",
"category": "mlops/inference",
"frontmatter_name": "gguf-quantization",
"description": "GGUF format and llama.cpp quantization for efficient CPU/...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "guidance",
"category": "mlops/inference",
"frontmatter_name": "guidance",
"description": "Control LLM output with regex and grammars, guarantee val...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "instructor",
"category": "mlops/inference",
"frontmatter_name": "instructor",
"description": "Extract structured data from LLM responses with Pydantic ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "llama-cpp",
"category": "mlops/inference",
"frontmatter_name": "llama-cpp",
"description": "Runs LLM inference on CPU, Apple Silicon, and consumer GP...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "obliteratus",
"category": "mlops/inference",
"frontmatter_name": "obliteratus",
"description": "Remove refusal behaviors from open-weight LLMs using OBLI...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "outlines",
"category": "mlops/inference",
"frontmatter_name": "outlines",
"description": "Guarantee valid JSON/XML/code structure during generation...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "tensorrt-llm",
"category": "mlops/inference",
"frontmatter_name": "tensorrt-llm",
"description": "Optimizes LLM inference with NVIDIA TensorRT for maximum ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "vllm",
"category": "mlops/inference",
"frontmatter_name": "serving-llms-vllm",
"description": "Serves LLMs with high throughput using vLLM's PagedAttent...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "llama-server-local-agent-tuning",
"category": "mlops",
"frontmatter_name": "llama-server-local-agent-tuning",
"description": "Optimal llama-server configuration for local LLM agent to...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "audiocraft",
"category": "mlops/models",
"frontmatter_name": "audiocraft-audio-generation",
"description": "PyTorch library for audio generation including text-to-mu...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "clip",
"category": "mlops/models",
"frontmatter_name": "clip",
"description": "OpenAI's model connecting vision and language. Enables ze...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "llava",
"category": "mlops/models",
"frontmatter_name": "llava",
"description": "Large Language and Vision Assistant. Enables visual instr...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "segment-anything",
"category": "mlops/models",
"frontmatter_name": "segment-anything-model",
"description": "Foundation model for image segmentation with zero-shot tr...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "stable-diffusion",
"category": "mlops/models",
"frontmatter_name": "stable-diffusion-image-generation",
"description": "State-of-the-art text-to-image generation with Stable Dif...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "whisper",
"category": "mlops/models",
"frontmatter_name": "whisper",
"description": "OpenAI's general-purpose speech recognition model. Suppor...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "dspy",
"category": "mlops/research",
"frontmatter_name": "dspy",
"description": "Build complex AI systems with declarative programming, op...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "accelerate",
"category": "mlops/training",
"frontmatter_name": "huggingface-accelerate",
"description": "Simplest distributed training API. 4 lines to add distrib...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "axolotl",
"category": "mlops/training",
"frontmatter_name": "axolotl",
"description": "Expert guidance for fine-tuning LLMs with Axolotl - YAML ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "flash-attention",
"category": "mlops/training",
"frontmatter_name": "optimizing-attention-flash",
"description": "Optimizes transformer attention with Flash Attention for ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "grpo-rl-training",
"category": "mlops/training",
"frontmatter_name": "grpo-rl-training",
"description": "Expert guidance for GRPO/RL fine-tuning with TRL for reas...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "hermes-atropos-environments",
"category": "mlops/training",
"frontmatter_name": "hermes-atropos-environments",
"description": "Build, test, and debug Hermes Agent RL environments for A...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "peft",
"category": "mlops/training",
"frontmatter_name": "peft-fine-tuning",
"description": "Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "pytorch-fsdp",
"category": "mlops/training",
"frontmatter_name": "pytorch-fsdp",
"description": "Expert guidance for Fully Sharded Data Parallel training ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "pytorch-lightning",
"category": "mlops/training",
"frontmatter_name": "pytorch-lightning",
"description": "High-level PyTorch framework with Trainer class, automati...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "simpo",
"category": "mlops/training",
"frontmatter_name": "simpo-training",
"description": "Simple Preference Optimization for LLM alignment. Referen...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "slime",
"category": "mlops/training",
"frontmatter_name": "slime-rl-training",
"description": "Provides guidance for LLM post-training with RL using sli...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "torchtitan",
"category": "mlops/training",
"frontmatter_name": "distributed-llm-pretraining-torchtitan",
"description": "Provides PyTorch-native distributed LLM pretraining using...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "trl-fine-tuning",
"category": "mlops/training",
"frontmatter_name": "fine-tuning-with-trl",
"description": "Fine-tune LLMs using reinforcement learning with TRL - SF...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "unsloth",
"category": "mlops/training",
"frontmatter_name": "unsloth",
"description": "Expert guidance for fast fine-tuning with Unsloth - 2-5x ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "chroma",
"category": "mlops/vector-databases",
"frontmatter_name": "chroma",
"description": "Open-source embedding database for AI applications. Store...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "faiss",
"category": "mlops/vector-databases",
"frontmatter_name": "faiss",
"description": "Facebook's library for efficient similarity search and cl...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "pinecone",
"category": "mlops/vector-databases",
"frontmatter_name": "pinecone",
"description": "Managed vector database for production AI applications. F...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "qdrant",
"category": "mlops/vector-databases",
"frontmatter_name": "qdrant-vector-search",
"description": "High-performance vector similarity search engine for RAG ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "obsidian",
"category": "note-taking",
"frontmatter_name": "obsidian",
"description": "Read, search, and create notes in the Obsidian vault.",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "google-workspace",
"category": "productivity",
"frontmatter_name": "google-workspace",
"description": "Gmail, Calendar, Drive, Contacts, Sheets, and Docs integr...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "linear",
"category": "productivity",
"frontmatter_name": "linear",
"description": "Manage Linear issues, projects, and teams via the GraphQL...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "nano-pdf",
"category": "productivity",
"frontmatter_name": "nano-pdf",
"description": "Edit PDFs with natural-language instructions using the na...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "notion",
"category": "productivity",
"frontmatter_name": "notion",
"description": "Notion API for creating and managing pages, databases, an...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "ocr-and-documents",
"category": "productivity",
"frontmatter_name": "ocr-and-documents",
"description": "Extract text from PDFs and scanned documents. Use web_ext...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "powerpoint",
"category": "productivity",
"frontmatter_name": "powerpoint",
"description": "Use this skill any time a .pptx file is involved in any w...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "godmode",
"category": "red-teaming",
"frontmatter_name": "godmode",
"description": "Jailbreak API-served LLMs using G0DM0D3 techniques — Pars...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "arxiv",
"category": "research",
"frontmatter_name": "arxiv",
"description": "Search and retrieve academic papers from arXiv using thei...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "blogwatcher",
"category": "research",
"frontmatter_name": "blogwatcher",
"description": "Monitor blogs and RSS/Atom feeds for updates using the bl...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "domain-intel",
"category": "research",
"frontmatter_name": "domain-intel",
"description": "Passive domain reconnaissance using Python stdlib. Subdom...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "duckduckgo-search",
"category": "research",
"frontmatter_name": "duckduckgo-search",
"description": "Free web search via DuckDuckGo — text, news, images, vide...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [
"web"
],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "ml-paper-writing",
"category": "research",
"frontmatter_name": "ml-paper-writing",
"description": "Write publication-ready ML/AI papers for NeurIPS, ICML, I...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "polymarket",
"category": "research",
"frontmatter_name": "polymarket",
"description": "Query Polymarket prediction market data — search markets,...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "openhue",
"category": "smart-home",
"frontmatter_name": "openhue",
"description": "Control Philips Hue lights, rooms, and scenes via the Ope...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "telegram-bot-profile",
"category": "social-media",
"frontmatter_name": "telegram-bot-profile",
"description": "Configure a Telegram bot's profile — name, bio, short des...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "xitter",
"category": "social-media",
"frontmatter_name": "xitter",
"description": "Interact with X/Twitter via the x-cli terminal client usi...",
"platforms": [
"linux",
"macos"
],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "code-review",
"category": "software-development",
"frontmatter_name": "code-review",
"description": "Guidelines for performing thorough code reviews with secu...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "plan",
"category": "software-development",
"frontmatter_name": "plan",
"description": "Plan mode for Hermes — inspect context, write a markdown ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "requesting-code-review",
"category": "software-development",
"frontmatter_name": "requesting-code-review",
"description": "Use when completing tasks, implementing major features, o...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "subagent-driven-development",
"category": "software-development",
"frontmatter_name": "subagent-driven-development",
"description": "Use when executing implementation plans with independent ...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "systematic-debugging",
"category": "software-development",
"frontmatter_name": "systematic-debugging",
"description": "Use when encountering any bug, test failure, or unexpecte...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "test-driven-development",
"category": "software-development",
"frontmatter_name": "test-driven-development",
"description": "Use when implementing any feature or bugfix, before writi...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
},
{
"skill_name": "writing-plans",
"category": "software-development",
"frontmatter_name": "writing-plans",
"description": "Use when you have a spec or requirements for a multi-step...",
"platforms": [],
"conditions": {
"fallback_for_toolsets": [],
"requires_toolsets": [],
"fallback_for_tools": [],
"requires_tools": []
}
}
],
"category_descriptions": {
"apple": "Apple/macOS-specific skills — iMessage, Reminders, Notes, FindMy, and macOS automation. These skills only load on macOS systems.",
"autonomous-ai-agents": "Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.",
"creative": "Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.",
"data-science": "Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.",
"diagramming": "Diagram creation skills for generating visual diagrams, flowcharts, architecture diagrams, and illustrations using tools like Excalidraw.",
"domain": "Passive domain reconnaissance using Python stdlib. Use this skill for subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required. Triggers on requests like \"find subdomains\", \"check ssl cert\", \"whois lookup\", \"is this domain available\", \"bulk check these domains\".",
"email": "Skills for sending, receiving, searching, and managing email from the terminal.",
"feeds": "Skills for monitoring, aggregating, and processing RSS feeds, blogs, and web content sources.",
"gaming": "Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.",
"gifs": "Skills for searching, downloading, and working with GIFs and short-form animated media.",
"github": "GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.",
"mcp": "Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.",
"media": "Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.",
"mlops": "Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models",
"mlops/cloud": "GPU cloud providers and serverless compute platforms for ML workloads.",
"mlops/evaluation": "Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.",
"mlops/inference": "Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.",
"mlops/models": "Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).",
"mlops/research": "ML research frameworks for building and optimizing AI systems with declarative programming.",
"mlops/training": "Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.",
"mlops/vector-databases": "Vector similarity search and embedding databases for RAG, semantic search, and AI application backends.",
"music-creation": "Skills for generating, editing, and processing music and audio using AI models and audio tools.",
"note-taking": "Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.",
"productivity": "Skills for document creation, presentations, spreadsheets, and other productivity workflows.",
"productivity/ocr-and-documents": "Skills for extracting text from PDFs, scanned documents, images, and other file formats using OCR and document parsing tools.",
"research": "Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.",
"smart-home": "Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.",
"social-media": "Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations."
}
}