Automatically analyze Claude Code session transcripts to identify and extract reusable skills using LLM analysis via OpenRouter
Scanned 9/9/2026
Install to Claude Code
Skills Directorynpx -y skills add vamseeachanta/workspace-hub --skill extract-skills-from-hermes-sessions --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: extract-skills-from-hermes-sessions
description: Automatically analyze Claude Code session transcripts to identify and extract reusable skills using LLM analysis via OpenRouter
version: 1.0.0
source: auto-extracted
extracted: 2026-04-10
metadata:
tags: ["automation", "skill-extraction", "hermes-integration", "hooks"]
---
# 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 claude-haiku for speed/cost.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
