skill-creator-pro
Create, test, and distribute professional-grade skills with 5 design patterns, security scanning, sanitization, and 3-stage QA. Use when creating a new SKILL.md, updating an existing skill, packaging skills for marketplace distribution, or improving skill trigger accuracy and quality. Covers the full lifecycle from design pattern selection through implementation, security review, testing, and distribution.
What this skill does
# Skill Creator Pro
Professional-grade guide for creating, testing, and distributing skills. Extends the official skill-creator with 5 design patterns, description optimization, 3-stage QA, and security scanning.
## About Skills
Skills are modular, self-contained packages that extend Claude's capabilities by providing specialized knowledge, workflows, and tools. They transform Claude from a general-purpose agent into a specialized agent equipped with procedural knowledge.
### What Skills Provide
1. Specialized workflows - Multi-step procedures for specific domains
2. Tool integrations - Instructions for working with specific file formats or APIs
3. Domain expertise - Company-specific knowledge, schemas, business logic
4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks
### Core Principles
**Concise is Key.** The context window is a public good. Only add context Claude doesn't already have. Challenge each piece of information: "Does this paragraph justify its token cost?" Prefer concise examples over verbose explanations.
**Set Appropriate Degrees of Freedom.** Match specificity to task fragility:
- **High freedom (text instructions)**: Multiple valid approaches exist; context determines best path
- **Medium freedom (pseudocode with parameters)**: Preferred patterns exist with acceptable variation
- **Low freedom (exact scripts)**: Operations are fragile, consistency critical, sequence matters
**Composability.** Assume the skill will be used alongside others. It must be a good citizen in a larger ecosystem.
**Portability.** A well-designed skill works across environments without modification.
### Anatomy of a Skill
```
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter (name, description)
│ └── Markdown instructions
└── Bundled Resources (optional)
├── scripts/ - Executable code (Python/Bash/etc.)
├── references/ - Documentation loaded into context as needed
└── assets/ - Files used in output (templates, icons, fonts)
```
#### SKILL.md (required)
- **Frontmatter** (YAML): `name` and `description` fields. These determine when Claude uses the skill. The `description` is the primary trigger mechanism.
- **Body** (Markdown): Instructions loaded only AFTER the skill triggers.
#### Scripts (`scripts/`)
- **When to include**: When the same code is repeatedly rewritten or deterministic reliability is needed
- **Benefits**: Token efficient, deterministic, may be executed without loading into context
- **Note**: Scripts may still need to be read by Claude for patching or environment-specific adjustments
#### References (`references/`)
- **When to include**: For documentation Claude should reference while working
- **Benefits**: Keeps SKILL.md lean, loaded only when needed
- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md
- **Avoid duplication**: Information should live in either SKILL.md or references, not both
#### Assets (`assets/`)
- **When to include**: When the skill needs files used in the final output (templates, images, fonts)
- **Benefits**: Separates output resources from documentation
#### What NOT to Include
Do NOT create extraneous files: README.md, CHANGELOG.md, INSTALLATION_GUIDE.md, etc. The skill should only contain information needed for an AI agent to do the job.
#### Privacy and Path References
- **Forbidden**: Absolute paths (`/home/username/`, `/Users/username/`), personal usernames, company names
- **Allowed**: Relative paths within the skill bundle (`scripts/example.py`, `references/guide.md`)
#### Versioning
Skills should NOT contain version history in SKILL.md. Versions are tracked in `marketplace.json`.
### Progressive Disclosure
Skills use a three-level loading system:
1. **Metadata (name + description)** - Always in context (~100 words)
2. **SKILL.md body** - When skill triggers (<5k words, keep under 500 lines)
3. **Bundled resources** - As needed (unlimited; scripts can execute without loading into context)
**Key principle:** When a skill supports multiple variations, keep only core workflow and selection guidance in SKILL.md. Move variant-specific details into reference files.
**Pattern 1: High-level guide with references** - Link to detailed guides from SKILL.md. Claude loads them only when needed.
**Pattern 2: Domain-specific organization** - Organize references by domain. When a user asks about sales metrics, Claude only reads `sales.md`.
**Pattern 3: Conditional details** - Show basic content, link to advanced content. Claude reads advanced files only when needed.
**Important:** Avoid deeply nested references. Keep references one level deep from SKILL.md.
## Edit Skills at Source Location
**NEVER edit skills in `~/.claude/plugins/cache/`** - that is a read-only cache directory. All changes there are lost when cache refreshes. **ALWAYS verify** the file path does NOT contain `/cache/` or `/plugins/cache/`.
## Skill Creation Process
Follow these 11 steps in order, skipping only when clearly not applicable.
### Step 1: Understand the Skill with Concrete Examples
Skip only when the skill's usage patterns are already clearly understood.
Clearly understand concrete examples of how the skill will be used. This understanding can come from direct user examples or generated examples validated with user feedback.
Relevant questions include:
- "What functionality should this skill support?"
- "Can you give examples of how this skill would be used?"
- "What would a user say that should trigger this skill?"
Avoid asking too many questions in a single message. Conclude when there is a clear sense of the functionality the skill should support.
### Step 2: Plan and Design
To turn concrete examples into an effective skill, analyze each example by:
1. Considering how to execute from scratch
2. Determining the appropriate level of freedom for Claude
3. Identifying what scripts, references, and assets would be helpful
#### Choose a Design Pattern
Select the pattern that best fits the use case. This is the most important design decision.
| Pattern | Use Case | Reference |
|:---|:---|:---|
| **Sequential Workflow** | Strict ordered steps, dependency chains | `references/pattern-1-sequential-workflow.md` |
| **Multi-MCP Coordination** | Workflows spanning multiple services | `references/pattern-2-multi-mcp-coordination.md` |
| **Iterative Refinement** | High-quality output via generate-validate-refine loops | `references/pattern-3-iterative-refinement.md` |
| **Context-Aware Tool Selection** | Best tool depends on context of request | `references/pattern-4-context-aware-tools.md` |
| **Domain-Specific Intelligence** | Embedding non-obvious expert knowledge | `references/pattern-5-domain-intelligence.md` |
Read the reference guide for the chosen pattern before proceeding.
For additional workflow patterns (sequential and conditional), see `references/workflows.md`.
#### Master the Description
The `description` in frontmatter is the primary trigger mechanism. If the skill doesn't trigger correctly, the description is the problem.
- **Formula:** `[Capability Statement]. Use when [Trigger Conditions].`
- Include keywords users are likely to say, relevant file types, and action verbs
- Include all "when to use" information here, NOT in the body
- For advanced techniques (negative triggers, debugging), see `references/advanced-description-writing.md`
- For Anthropic's official best practices, retrieve `https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices.md`
### Step 3: Initialize the Skill
Skip if the skill already exists and only needs iteration or packaging.
Run the `init_skill.py` script to generate a new template skill directory:
```bash
scripts/init_skill.py <skill-name> --path <output-directory>
```
The script creates the skill directory with a SKILL.md template, TODO placeholders, and example resource directories (`scripts/`, `references/`, `aRelated in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.