agentleFS
PatriotAgenticLLCPatriotAgenticLLC/better_claude_skillz/skills/skill-create/SKILL.md

skill-create

Skill3 starsChanged 5 months agoMITView on GitHub

Analyze local git history to extract coding patterns and generate SKILL.md files

15 other projects use a version of this, 1 of them edited.

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Used with

Projects with it also use pm-discovery, qa-phase and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ww-w-aiSkill

    pm-discovery

    PM Agent Team - Automated product discovery, strategy, and PRD generation. Runs PM analysis workflow to produce comprehensive PRD before PDCA Plan phase.

    Also in 3 projects that use this

  • ww-w-aiSkill

    qa-phase

    Run QA tests at various levels (L1-L5) for features under PDCA management. Integrates with MCP tools to execute structured test plans.

    Also in 3 projects that use this

  • +10 more from ww-w-ai

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 14 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Look for these pattern types:

    line 43

“Common” is measured: kept by at least 6 in 10 of the 14 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/skill-create - Local Skill Generation

Analyze your repository's git history to extract coding patterns and generate SKILL.md files that teach Claude your team's practices.

Usage

/skill-create                    # Analyze current repo
/skill-create --commits 100      # Analyze last 100 commits
/skill-create --output ./skills  # Custom output directory
/skill-create --instincts        # Also generate instincts for continuous-learning-v2

What It Does

  1. Parses Git History - Analyzes commits, file changes, and patterns
  2. Detects Patterns - Identifies recurring workflows and conventions
  3. Generates SKILL.md - Creates valid Claude Code skill files
  4. Optionally Creates Instincts - For the continuous-learning-v2 system

Analysis Steps

Step 1: Gather Git Data

# Get recent commits with file changes
git log --oneline -n ${COMMITS:-200} --name-only --pretty=format:"%H|%s|%ad" --date=short

# Get commit frequency by file
git log --oneline -n 200 --name-only | grep -v "^$" | grep -v "^[a-f0-9]" | sort | uniq -c | sort -rn | head -20

# Get commit message patterns
git log --oneline -n 200 | cut -d' ' -f2- | head -50

Step 2: Detect Patterns

Look for these pattern types:

PatternDetection Method
Commit conventionsRegex on commit messages (feat:, fix:, chore:)
File co-changesFiles that always change together
Workflow sequencesRepeated file change patterns
ArchitectureFolder structure and naming conventions
Testing patternsTest file locations, naming, coverage

Step 3: Generate SKILL.md

Output format:

---
name: {repo-name}-patterns
description: Coding patterns extracted from {repo-name}
version: 1.0.0
source: local-git-analysis
analyzed_commits: {count}
---

# {Repo Name} Patterns

## Commit Conventions
{detected commit message patterns}

## Code Architecture
{detected folder structure and organization}

## Workflows
{detected repeating file change patterns}

## Testing Patterns
{detected test conventions}

Step 4: Generate Instincts (if --instincts)

For continuous-learning-v2 integration:

---
id: {repo}-commit-convention
trigger: "when writing a commit message"
confidence: 0.8
domain: git
source: local-repo-analysis
---

# Use Conventional Commits

## Action
Prefix commits with: feat:, fix:, chore:, docs:, test:, refactor:

## Evidence
- Analyzed {n} commits
- {percentage}% follow conventional commit format

Example Output

Running /skill-create on a TypeScript project might produce:

---
name: my-app-patterns
description: Coding patterns from my-app repository
version: 1.0.0
source: local-git-analysis
analyzed_commits: 150
---

# My App Patterns

## Commit Conventions

This project uses **conventional commits**:
- `feat:` - New features
- `fix:` - Bug fixes
- `chore:` - Maintenance tasks
- `docs:` - Documentation updates

## Code Architecture

src/ components/ # React components (PascalCase.tsx) hooks/ # Custom hooks (use*.ts) utils/ # Utility functions types/ # TypeScript type definitions services/ # API and external services


## Workflows

### Adding a New Component
1. Create `src/components/ComponentName.tsx`
2. Add tests in `src/components/__tests__/ComponentName.test.tsx`
3. Export from `src/components/index.ts`

### Database Migration
1. Modify `src/db/schema.ts`
2. Run `pnpm db:generate`
3. Run `pnpm db:migrate`

## Testing Patterns

- Test files: `__tests__/` directories or `.test.ts` suffix
- Coverage target: 80%+
- Framework: Vitest

GitHub App Integration

For advanced features (10k+ commits, team sharing, auto-PRs), use the Skill Creator GitHub App:

Related Commands

  • /instinct-import - Import generated instincts
  • /instinct-status - View learned instincts
  • /evolve - Cluster instincts into skills/agents

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