Analyze your Claude Code session history to discover patterns that should become reusable skills.
Обзор
Analyze your Claude Code session history to discover patterns that should become reusable skills. Skill Workshop mines JSONL session files, finds repeating explanations, tool-chain workflows, and error→workaround patterns, then proposes skill candidates ranked by score. You pick the winners — it generates ready-to-use SKILL.md drafts. Copy the contents into your Claude Code configuration: The skill will: 1. Find session files for the target project 2. Delegate extraction to the session-analyzer agent (runs on Haiku for speed/cost) 3. Present ranked candidates with evidence quotes 4. Ask which candidates to develop into skill drafts 5. Generate SKILL.md files in .claude/skills/ (session-analyzer agent): - Parses JSONL session files using bash + jq/python3 - Extracts user messages, tool sequences, and error→correction pairs - Groups by semantic similarity, scores candidates (frequency × type_weight) - Writes results to /tmp/skill-workshop-results.
README
Skill Workshop
Analyze your Claude Code session history to discover patterns that should become reusable skills.
Skill Workshop mines JSONL session files, finds repeating explanations, tool-chain workflows, and error→workaround patterns, then proposes skill candidates ranked by score. You pick the winners — it generates ready-to-use SKILL.md drafts.
What it finds
| Signal type | What it catches | Example |
|---|---|---|
| Repeated explanation | Same concept explained to Claude in 3+ sessions | “Always use --break-system-packages with pip on this machine” |
| Tool chain | Same sequence of tools used across sessions | Grep → Read → Edit → Bash for a specific workflow |
| Workaround | Errors followed by user corrections | Claude keeps using wrong flags, user keeps fixing it |
Installation
Copy the contents into your Claude Code configuration:
~/.claude/
├── agents/
│ └── session-analyzer.md # Haiku-based extraction agent
└── skills/
└── skill-workshop/
└── SKILL.md # Orchestrator skill
Or symlink from this repo:
ln -s /path/to/skill-workshop/agents/session-analyzer.md ~/.claude/agents/session-analyzer.md
mkdir -p ~/.claude/skills/skill-workshop
ln -s /path/to/skill-workshop/skills/skill-workshop/SKILL.md ~/.claude/skills/skill-workshop/SKILL.md
Usage
In any Claude Code session, run:
/skill-workshop
Or with an explicit project path:
/skill-workshop /path/to/project
The skill will:
- Find session files for the target project
- Delegate extraction to the
session-analyzeragent (runs on Haiku for speed/cost) - Present ranked candidates with evidence quotes
- Ask which candidates to develop into skill drafts
- Generate
SKILL.mdfiles in.claude/skills/
How it works
Phase 1 — Extract & Analyze (session-analyzer agent):
- Parses JSONL session files using bash + jq/python3
- Extracts user messages, tool sequences, and error→correction pairs
- Groups by semantic similarity, scores candidates (
frequency × type_weight) - Writes results to
/tmp/skill-workshop-results.json
Phase 2 — Present & Generate (skill-workshop orchestrator):
- Reads analysis results, presents candidates in a table
- For approved candidates, generates proper SKILL.md files following skill authoring best practices
- Outputs skills categorized as
knowledge,workflow, orgotcha
Prerequisites
- Claude Code with skills and agents support
- Session history for the target project (Claude Code stores sessions in
~/.claude/projects/)
Tip: Claude Code deletes sessions after 30 days by default. To keep longer history, add
"cleanupPeriodDays": 100000to~/.claude/settings.json.
Output
Results are written to /tmp/skill-workshop-results.json — a structured JSON with:
- Project metadata and date range
- Extraction stats (messages parsed, tool calls, errors found)
- Up to 15 candidates ranked by score (0.0–1.0), each with evidence quotes
License
MIT
Рекомендуемые инструменты
Попробуйте другой запрос или уберите фильтр.
Установка
npx skillfish add grayodesa/skill-workshop