Agent skill
claude-skills
Claude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.
Install this agent skill to your Project
npx add-skill https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/claude-skills
SKILL.md
Claude Skills Meta-Skill
Turn scattered domain material into a Skill that is reusable, maintainable, and reliably activatable:
SKILL.mdas the entrypoint (triggers, constraints, patterns, examples)references/for long-form evidence and navigation- optional
scripts/andassets/for scaffolding and templates
When to Use This Skill
Trigger this meta-skill when you need to:
- Create a new Skill from scratch from docs/specs/repos
- Refactor an existing Skill (too long, unclear, inconsistent, misfires)
- Design reliable activation (frontmatter + triggers + boundaries)
- Extract a clean Quick Reference from large material
- Split long content into navigable
references/ - Add a quality gate and a validator
Not For / Boundaries
This meta-skill is NOT:
- A domain Skill by itself (it builds domain Skills)
- A license to invent external facts (if the material does not prove it, say so and add a verification path)
- A substitute for required inputs (if inputs are missing, ask 1-3 questions before proceeding)
Quick Reference
Deliverables (What You Must Produce)
Your output MUST include:
- A concrete directory layout (typically
skills/<skill-name>/) - An actionable
SKILL.mdwith decidable triggers, boundaries, and reproducible examples - Long-form docs moved to
references/with areferences/index.md - A pre-delivery checklist (Quality Gate)
Recommended Layout (Minimal -> Full)
skill-name/
|-- SKILL.md # Required: entrypoint with YAML frontmatter
|-- references/ # Optional: long-form docs/evidence/index
| `-- index.md # Recommended: navigation index
|-- scripts/ # Optional: helpers/automation
`-- assets/ # Optional: templates/configs/static assets
The truly minimal version is just SKILL.md (you can add references/ later).
YAML Frontmatter (Required)
---
name: skill-name
description: "What it does + when to use (activation triggers)."
---
Frontmatter rules:
nameMUST match^[a-z][a-z0-9-]*$and SHOULD match the directory namedescriptionMUST be decidable (not "helps with X") and include concrete trigger keywords
Minimal SKILL.md Skeleton (Copy/Paste)
---
name: my-skill
description: "[Domain] capability: includes [capability 1], [capability 2]. Use when [decidable triggers]."
---
# my-skill Skill
One sentence that states the boundary and the deliverable.
## When to Use This Skill
Trigger when any of these applies:
- [Trigger 1: concrete task/keyword]
- [Trigger 2]
- [Trigger 3]
## Not For / Boundaries
- What this skill will not do (prevents misfires and over-promising)
- Required inputs; ask 1-3 questions if missing
## Quick Reference
### Common Patterns
**Pattern 1:** one-line explanation
```text
[command/snippet you can paste and run]
Examples
Example 1
- Input:
- Steps:
- Expected output / acceptance:
Example 2
Example 3
References
references/index.md: navigationreferences/...: long-form docs split by topic
Maintenance
- Sources: docs/repos/specs (do not invent)
- Last updated: YYYY-MM-DD
- Known limits: what is explicitly out of scope
### Authoring Rules (Non-negotiable)
1. Quick Reference is for short, directly usable patterns
- Keep it <= 20 patterns when possible.
- Anything that needs paragraphs of explanation goes to `references/`.
2. Activation must be decidable
- Frontmatter `description` should say "what + when" with concrete keywords.
- "When to Use" must list specific tasks/inputs/goals, not vague help text.
- "Not For / Boundaries" is mandatory for reliability.
3. No bluffing on external details
- If the material does not prove it, say so and include a verification path.
### Workflow (Material -> Skill)
Do not skip steps:
1. Scope: write MUST/SHOULD/NEVER (three sentences total is fine)
2. Extract patterns: pick 10-20 high-frequency patterns (commands/snippets/flows)
3. Add examples: >= 3 end-to-end examples (input -> steps -> acceptance)
4. Define boundaries: what is out-of-scope + required inputs
5. Split references: move long text into `references/` + write `references/index.md`
6. Apply the gate: run the checklist and the validator
### Quality Gate (Pre-delivery Checklist)
Minimum checks (see `references/quality-checklist.md` for the full version):
1. `name` matches `^[a-z][a-z0-9-]*$` and matches the directory name
2. `description` states "what + when" with concrete trigger keywords
3. Has "When to Use This Skill" with decidable triggers
4. Has "Not For / Boundaries" to reduce misfires
5. Quick Reference is <= 20 patterns and each is directly usable
6. Has >= 3 reproducible examples
7. Long content is in `references/` and `references/index.md` is navigable
8. Uncertain claims include a verification path (no bluffing)
9. Reads like an operator's manual, not a documentation dump
Validate locally:
```bash
# From repo root (basic validation)
./skills/claude-skills/scripts/validate-skill.sh skills/<skill-name>
# From repo root (strict validation)
./skills/claude-skills/scripts/validate-skill.sh skills/<skill-name> --strict
# From skills/claude-skills/ (basic validation)
./scripts/validate-skill.sh ../<skill-name>
# From skills/claude-skills/ (strict validation)
./scripts/validate-skill.sh ../<skill-name> --strict
Tools & Templates
Generate a new Skill skeleton:
# From repo root (generate into ./skills/)
./skills/claude-skills/scripts/create-skill.sh my-skill --full --output skills
# From skills/claude-skills/ (generate into ../ i.e. ./skills/)
./scripts/create-skill.sh my-skill --full --output ..
# Minimal skeleton
./skills/claude-skills/scripts/create-skill.sh my-skill --minimal --output skills
Templates:
assets/template-minimal.mdassets/template-complete.md
Examples
Example 1: Create a Skill from Docs
- Input: an official doc/spec + 2-3 real code samples + common failure modes
- Steps:
- Run
create-skill.shto scaffoldskills/<skill-name>/ - Write frontmatter
descriptionas "what + when" - Extract 10-20 high-frequency patterns into Quick Reference
- Add >= 3 end-to-end examples with acceptance criteria
- Put long content into
references/and wirereferences/index.md - Run
validate-skill.sh --strictand iterate
- Run
Example 2: Refactor a "Doc Dump" Skill
- Input: an existing
SKILL.mdwith long pasted documentation - Steps:
- Identify which parts are patterns vs. long-form explanation
- Move long-form text into
references/(split by topic) - Rewrite Quick Reference as short copy/paste patterns
- Add or fix Examples until they are reproducible
- Add "Not For / Boundaries" to reduce misfires
Example 3: Validate and Gate a Skill
- Input:
skills/<skill-name>/ - Steps:
- Run
validate-skill.sh(non-strict) to get warnings - Fix frontmatter/name mismatches and missing sections
- Run
validate-skill.sh --strictto enforce the spec - Run the scoring rubric in
references/quality-checklist.mdbefore shipping
- Run
References
Local docs:
references/index.mdreferences/skill-spec.mdreferences/quality-checklist.mdreferences/anti-patterns.mdreferences/README.md(upstream official reference)
External (official):
- https://support.claude.com/en/articles/12512176-what-are-skills
- https://support.claude.com/en/articles/12512180-using-skills-in-claude
- https://support.claude.com/en/articles/12512198-creating-custom-skills
- https://docs.claude.com/en/api/skills-guide
Maintenance
- Sources: local spec files in
skills/claude-skills/references/+ upstream official docs inreferences/README.md - Last updated: 2025-12-14
- Known limits:
validate-skill.shis heuristic; strict mode assumes the recommended section headings
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
build-error-resolver
Compatibility alias for build-specific error resolution. Use this when VCO routes to build-error-resolver but the upstream agent is unavailable in the current runtime.
geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
zinc-database
Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
Didn't find tool you were looking for?