Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →notque/skill-composer
DAG-based multi-skill orchestration with dependency resolution.
Passed 14 of 18 test cases with the skill, and 7 of 18 without it.
and 6 more in the full report
9 fixed8 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Please run git status on my local repository and show me which files have uncommitted changes.
| Checked | Without skill | With skill |
|---|---|---|
| The response directly reports or checks the repository status without generating multi-skill composition DAGs | Missed | Passed |
The instructions your model reads when the skill loads.
Orchestrate complex workflows by chaining multiple skills into validated execution DAGs. This skill discovers applicable skills, resolves dependencies, validates compatibility, presents execution plans, and manages skill-to-skill context passing. Use when a task requires 2+ skills chained together, parallel skill execution, or conditional branching between skills. Invoke the single skill directly when it can handle the request alone, or for simple sequential invocation that needs no dependency management.
Core principle: Minimize composition overhead. Prefer simple 2-3 skill chains. Add only skills directly needed or "nice to have" additions without explicit user request.
| Signal | Load These Files | Why |
|---|---|---|
| checking skill chain compatibility and input/output type matching | compatibility-matrix.md | Loads detailed guidance from compatibility-matrix.md. |
| choosing sequential vs parallel composition; chain length limits | composition-patterns.md | Loads detailed guidance from composition-patterns.md. |
| composition walkthroughs: feature+tests, debug+docs, parallel quality checks, research-driven builds | examples.md | Loads detailed guidance from examples.md. |
| selecting a proven composition pattern; troubleshooting compositions | skill-patterns.md | Loads detailed guidance from skill-patterns.md. |
Goal: Analyze the task and find applicable skills.
Step 1: Analyze the user's request
Identify:
Step 2: Discover available skills
Before building any DAG, scan skills/*/SKILL.md for available skills:
python3 ${CLAUDE_SKILL_DIR}/scripts/discover_skills.py ./skills
Review the discovered skills. Categorize by type (workflow, testing, quality, documentation, code-analysis, debugging) with dependency metadata.
test cases passed, vs 7 / 18 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.