skill-factory

# Skill Factory Automated pipeline: session analysis -> duplicate check -> skill creation. Requires: Python 3.8+, bash, git. Agent Teams path requires `CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1`. | Existing Skill | Role | skill-factory Difference | |----------------|------|--------------------------| | skill-creator (archived) | Manual 6-step guide | Automated pipeline | | manage-skills | Drift detection (verify-* skills) | Proactive skill generation (manage-skills verifies existing; skill-factory creates new) | | continuous-learning | Passive pattern extraction | On-demand + team execution | ## Parameter Parsing Parse `$ARGUMENTS` for flags: | Flag | Default | Description | |------|---------|-------------| | `--dry-run` | false | Analyze and report only, no file creation | | `--no-team` | false | Run sequentially without Agent Teams | | `--target` | (auto) | Specific pattern name to extract | | `--scope` | global | `global` (~/. claude/skills/) or `project` (.claude/skills/) | If no arguments, run full auto-detection pipeline. ## Phase 1: Session Analysis Collect what happened in this session: ```bash # Uncommitted changes git diff HEAD --name-only 2>/dev/null # Recent commits on current branch git log --oneline -20 2>/dev/null # Branch diff from main git diff main...HEAD --name-only 2>/dev/null ``` From collected changes, identify **candidate patterns** - repeatable workflows that appeared: 1. **Multi-step sequences** - 3+ actions performed in consistent order 2. ...