Skills can now declare runtime prerequisites (env vars, CLI binaries) via
YAML frontmatter. Skills with unmet prerequisites are excluded from the
system prompt so the agent never claims capabilities it can't deliver, and
skill_view() warns the agent about what's missing.
Three layers of defense:
- build_skills_system_prompt() filters out unavailable skills
- _find_all_skills() flags unmet prerequisites in metadata
- skill_view() returns prerequisites_warning with actionable details
Tagged 12 bundled skills that have hard runtime dependencies:
gif-search (TENOR_API_KEY), notion (NOTION_API_KEY), himalaya, imessage,
apple-notes, apple-reminders, openhue, duckduckgo-search, codebase-inspection,
blogwatcher, songsee, mcporter.
Closes#658Fixes#630
Adds a new market-data/polymarket skill for querying Polymarket's public
prediction market APIs. Pure read-only, zero authentication required,
zero external dependencies (stdlib only).
Includes:
- SKILL.md: Agent instructions with key concepts and workflow
- references/api-endpoints.md: Full API reference (Gamma, CLOB, Data APIs)
- scripts/polymarket.py: CLI helper for search, trending, prices, orderbooks,
price history, and recent trades
Addresses #589.
Add a 'platforms' field to SKILL.md frontmatter that restricts skills
to specific operating systems. Skills with platforms: [macos] only
appear in the system prompt, skills_list(), and slash commands on macOS.
Skills without the field load everywhere (backward compatible).
Implementation:
- skill_matches_platform() in tools/skills_tool.py — core filter
- Wired into all 3 discovery paths: prompt_builder.py, skills_tool.py,
skill_commands.py
- 28 new tests across 3 test files
New bundled Apple/macOS skills (all platforms: [macos]):
- imessage — Send/receive iMessages via imsg CLI
- apple-reminders — Manage Reminders via remindctl CLI
- apple-notes — Manage Notes via memo CLI
- findmy — Track devices/AirTags via AppleScript + screen capture
Docs updated: CONTRIBUTING.md, AGENTS.md, creating-skills.md,
skills.md (user guide)
- Restored 21 skills removed in commits 757d012 and 740dd92:
accelerate, audiocraft, code-review, faiss, flash-attention, gguf,
grpo-rl-training, guidance, llava, nemo-curator, obliteratus, peft,
pytorch-fsdp, pytorch-lightning, simpo, slime, stable-diffusion,
tensorrt-llm, torchtitan, trl-fine-tuning, whisper
- Rewrote sync_skills() with proper update semantics:
* New skills (not in manifest): copied to user dir
* Existing skills (in manifest + on disk): updated via hash comparison
* User-deleted skills (in manifest, not on disk): respected, not re-added
* Stale manifest entries (removed from bundled): cleaned from manifest
- Added sync_skills() to CLI startup (cmd_chat) and gateway startup
(start_gateway) — previously only ran during 'hermes update'
- Updated cmd_update output to show new/updated/cleaned counts
- Rewrote tests: 20 tests covering manifest CRUD, dir hashing, fresh
install, user deletion respect, update detection, stale cleanup, and
name collision handling
75 bundled skills total. 2002 tests pass.
Follow-up to PR #267 merge:
- Fix CLI syntax: -k is keywords, -m is max results (was reversed)
- Add clear trigger condition: use only when web_search tool unavailable
- Remove misleading curl fallback (DuckDuckGo Instant Answer API is not
a web search endpoint)
- Fix package name: ddgs (renamed from duckduckgo-search)
- Add workflow section for search → web_extract pipeline
- Add pitfalls and limitations sections
- Fix author attribution to actual contributor
- Rewrite shell script as simple ddgs wrapper with availability check
emojicombos.com has a huge curated collection of ASCII art, dot art,
kaomoji, and emoji combos searchable via web_extract with a simple
URL pattern: https://emojicombos.com/{term}-ascii-art
No API key needed. Returns modern/meme art, pop culture references,
and kaomoji alongside classic ASCII art. Added as Source A (recommended
first) before asciiart.eu (Source B, classic archive).
Also added GitHub Octocat API as a fun easter egg and kaomoji search
to the decision flow.
Adds 5 additional tools from the awesome-ascii-art ecosystem:
- cowsay: 50+ characters with speech/thought bubbles
- boxes: 70+ decorative border designs, composable with pyfiglet
- toilet: colored text art with rainbow/metal/border filters
- ascii-image-converter: modern image-to-ASCII (PNG/JPEG/GIF/WEBP)
- jp2a: lightweight JPEG-to-ASCII fallback
Also adds fun extras (Star Wars telnet), resource links, and
an expanded decision flow covering all 7 modes.
Ref: github.com/moul/awesome-ascii-art
Adds two primary modes on top of the original LLM-generation approach:
- Mode 1: pyfiglet (571 fonts, pip install, no API key) for text banners
- Mode 2: asciiart.eu search (11,000+ pieces) via web_extract for pre-made art
- Mode 3: LLM-generated art using Unicode palette (original PR, now fallback)
Includes decision flow, font recommendations, and category reference.
Improvements to all 5 skills adapted from obra/superpowers:
- Restored anti-rationalization tables and red flags from originals
(key behavioral guardrails that prevent LLMs from taking shortcuts)
- Restored 'Rule of Three' for debugging (3+ failed fixes = question
architecture, not keep fixing)
- Restored Pattern Analysis and Hypothesis Testing phases in debugging
- Restored 'Why Order Matters' rebuttals and verification checklist in TDD
- Added proper Hermes delegate_task integration with real parameter examples
and toolset specifications throughout
- Added Hermes tool usage (search_files, read_file, terminal) for
investigation and verification steps
- Removed references to non-existent skills (brainstorming,
finishing-a-development-branch, executing-plans, using-git-worktrees)
- Removed generic language-specific sections (Go, Rust, Jest) that
added bulk without agent value
- Tightened prose — cut ~430 lines while adding more actionable content
- Added execution handoff section to writing-plans
- Consistent cross-references between the 5 skills
The ECMA schema directory was misspelled as 'fouth-edition'
instead of 'fourth-edition'. Renamed all 4 files within to
correct the path:
- opc-contentTypes.xsd
- opc-coreProperties.xsd
- opc-digSig.xsd
- opc-relationships.xsd
The ECMA schema directory was misspelled as 'fouth-edition'
instead of 'fourth-edition'. Renamed all 4 files within to
correct the path:
- opc-contentTypes.xsd
- opc-coreProperties.xsd
- opc-digSig.xsd
- opc-relationships.xsd
The ECMA schema directory was misspelled as 'fouth-edition'
instead of 'fourth-edition'. Renamed all 4 files within to
correct the path:
- opc-contentTypes.xsd
- opc-coreProperties.xsd
- opc-digSig.xsd
- opc-relationships.xsd
The ECMA schema directory was misspelled as 'fouth-edition'
instead of 'fourth-edition'. Renamed all 4 files within to
correct the path:
- opc-contentTypes.xsd
- opc-coreProperties.xsd
- opc-digSig.xsd
- opc-relationships.xsd
Unicode-based ASCII art generator skill with multiple styles
(block, shadow, outlined, gradient, decorative frame), character
palette reference, and usage examples. No external dependencies.
Add 5 new skills for professional software development workflows,
adapted from the Superpowers project ( obra/superpowers ):
- test-driven-development: RED-GREEN-REFACTOR cycle enforcement
- systematic-debugging: 4-phase root cause investigation
- subagent-driven-development: Structured delegation with two-stage review
- writing-plans: Comprehensive implementation planning
- requesting-code-review: Systematic code review process
These skills provide structured development workflows that transform
Hermes from a general assistant into a professional software engineer
with defined processes for quality assurance.
Skills are organized under software-development category and follow
Hermes skill format with proper frontmatter, examples, and integration
guidance with existing skills.
- Introduced a new skill for searching and retrieving academic papers from arXiv using their REST API, allowing searches by keyword, author, category, or ID.
- Added a helper script for clean output of search results, including options for sorting and filtering.
- Created a DESCRIPTION.md file outlining the purpose and functionality of the research skills.
- Introduced new skills for extracting text from PDFs, scanned documents, and images using OCR and document parsing tools.
- Added detailed documentation for usage and installation of `pymupdf` and `marker-pdf` for local extraction.
- Implemented scripts for text extraction with both lightweight and high-quality options, including support for various document formats.
- Updated web extraction functionality to handle PDF URLs directly, enhancing usability for academic papers and documents.
- Introduced a new markdown file detailing various Notion block types for API usage, including examples for creating and reading blocks.
- Covered block types such as paragraphs, headings, lists, to-dos, quotes, callouts, code, toggles, dividers, bookmarks, images, and more.
- Provided structured JSON examples for each block type to assist developers in implementation.
- Introduced a new markdown file detailing various output formats including chapters, summaries, Twitter threads, blog posts, and quotes.
- Each section provides structured examples to guide content creators in presenting their video material effectively.
- Updated README and CLI documentation to include new commands for resuming sessions: `--continue` for the most recent session and `--resume <id>` for specific sessions.
- Added examples in the CLI help output and detailed instructions on resuming sessions in the documentation.
- Improved user experience by automatically displaying the resume command upon exiting a session.
- Changed the hardcoded vault path to be set via the OBSIDIAN_VAULT_PATH environment variable, with a default fallback.
- Updated all relevant commands to utilize the new variable for reading, listing, searching, creating, and appending notes, improving flexibility and usability.
- Deleted the `huggingface-accelerate` skill documentation, which included details on distributed training and common workflows.
- Removed `custom-plugins.md`, `megatron-integration.md`, `performance.md`, and other related reference documents that were no longer relevant or necessary.
- This cleanup aims to streamline the MLOps skills repository and improve maintainability.
- Introduced new skills for editing and creating PPTX presentations, including a detailed guide on template-based workflows and script usage.
- Added scripts for slide management, cleaning, and packing PPTX files, enhancing the overall functionality for users.
- Included a LICENSE file to clarify usage rights and restrictions.
- Created a SKILL.md file to provide an overview and quick reference for PPTX-related tasks.
- Documented various formatting rules, common pitfalls, and design ideas to improve presentation quality.
- Revised the labeled shape and arrow sections to utilize container binding instead of the deprecated "label" property, ensuring proper text rendering.
- Added warnings about the invalidity of the "label" property and emphasized the use of `boundElements` for text elements.
- Updated examples in dark-mode and general references to reflect the new binding approach, enhancing clarity and usability for users creating diagrams.
- Introduced a new DESCRIPTION.md file outlining diagram creation skills for visual diagrams and flowcharts using Excalidraw.
- Added SKILL.md for the Excalidraw skill, detailing its functionality, usage, and workflow for creating hand-drawn style diagrams.
- Created references for color palettes, dark mode diagrams, and example diagrams to assist users in utilizing the Excalidraw skill effectively.
- Implemented an upload script for sharing diagrams via Excalidraw.com, ensuring user-friendly access to generated diagrams.
- Added detailed descriptions for new skills categories: Machine Learning Operations and Note Taking.
- Introduced a new Obsidian skill with commands for reading, listing, searching, creating, and appending notes.
- Enhanced the skills tool to load and display category descriptions from DESCRIPTION.md files, improving user guidance and discovery of available skills.
- Introduced new skills tools: `skills_categories`, `skills_list`, and `skill_view` in `model_tools.py`, allowing for better organization and access to skill-related functionalities.
- Updated `toolsets.py` to include a new `skills` toolset, providing a dedicated space for skill tools.
- Enhanced `batch_runner.py` to recognize and validate skills tools during batch processing.
- Added comprehensive tool definitions for skills tools, ensuring compatibility with OpenAI's expected format.
- Created new shell script `test_skills_kimi.sh` for testing skills tool functionality with Kimi K2.5.
- Added example skill files demonstrating the structure and usage of skills within the Hermes-Agent framework, including `SKILL.md` for example and audiocraft skills.
- Improved documentation for skills tools and their integration into the existing tool framework, ensuring clarity for future development and usage.
