extract-skills-from-hermes-sessions
Automatically analyze Codex session transcripts to identify and extract reusable skills using LLM analysis via OpenRouter
Best use case
extract-skills-from-hermes-sessions is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Automatically analyze Codex session transcripts to identify and extract reusable skills using LLM analysis via OpenRouter
Teams using extract-skills-from-hermes-sessions should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/extract-skills-from-hermes-sessions/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How extract-skills-from-hermes-sessions Compares
| Feature / Agent | extract-skills-from-hermes-sessions | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Automatically analyze Codex session transcripts to identify and extract reusable skills using LLM analysis via OpenRouter
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Extract Skills from Hermes Sessions Use a PostToolUse hook to automatically analyze session transcripts after edits, identifying skill-worthy patterns. The extractor calls OpenRouter (via openai library) to evaluate conversation against skill criteria, parses JSON output, and writes skill files to disk. Key: strip JSON fence carefully, truncate prompts to prevent token limits, and use Codex-haiku for speed/cost.
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