Date: March 2026 Source: TrystPilot/skills (Private Repository) Destination: anthropics/skills (Public Repository) Status: Ready for Contribution
This manifest documents 6 production-ready skills being contributed to Anthropic's public skills repository. These skills represent best practices across creative, technical, and development domains, following the Agent Skills specification (https://agentskills.io/specification).
- Purpose: Create beautiful visual art in PNG and PDF documents using design philosophy
- Key Features:
- Two-step process: Design Philosophy Creation → Visual Expression
- Emphasis on master-level craftsmanship and visual excellence
- Generates original designs without copying existing artists' work
- File Structure:
SKILL.md- Main skill instructions (11.9 KB)LICENSE.txt- Apache 2.0 licensecanvas-fonts/- 50+ professional fonts for visual design
- Use Cases: Posters, artwork, visual designs, branding materials
- License: Apache 2.0
- Purpose: Knowledge and utilities for creating animated GIFs optimized for Slack
- Key Features:
- Complete animation toolkit with PIL utilities
- Frame composer with easing functions
- Slack-specific constraints and validation
- Optimization for emoji and message GIFs
- File Structure:
SKILL.md- Main skill instructions (7.8 KB)LICENSE.txt- Apache 2.0 licensecore/gif_builder.py- Core GIF creation utilitiescore/frame_composer.py- Frame composition helperscore/easing.py- Animation easing functionscore/validators.py- Slack constraint validatorsrequirements.txt- Python dependencies
- Use Cases: Slack emoji GIFs, animated messages, GIF creation
- License: Apache 2.0
- Purpose: Suite of tools for creating complex Claude.ai HTML artifacts using modern frontend technologies
- Key Features:
- React 18 + TypeScript + Vite + Parcel stack
- Tailwind CSS 3.4.1 with shadcn/ui theming
- 40+ pre-installed shadcn/ui components
- Automated initialization and bundling scripts
- Guidance on avoiding "AI slop" design patterns
- File Structure:
SKILL.md- Main skill instructions (3.1 KB)LICENSE.txt- Apache 2.0 licensescripts/init-artifact.sh- Project initialization scriptscripts/bundle-artifact.sh- Bundling to single HTML filescripts/shadcn-components.tar.gz- Pre-configured components
- Use Cases: Complex interactive artifacts, data dashboards, web applications
- License: Apache 2.0
- Purpose: Comprehensive guide for creating high-quality MCP (Model Context Protocol) servers
- Key Features:
- Four-phase development process (Research → Implementation → Testing → Refinement)
- Support for Python (FastMCP) and TypeScript (MCP SDK)
- Best practices for tool design, error handling, and performance
- Evaluation framework with automated testing
- Reference documentation for MCP specification
- File Structure:
SKILL.md- Main skill instructions (9.1 KB)LICENSE.txt- Apache 2.0 licensescripts/evaluation.py- Automated evaluation frameworkscripts/requirements.txt- Python dependenciesscripts/connections.py- MCP connection utilitiesscripts/example_evaluation.xml- Example evaluation configurationreference/mcp_best_practices.md- Best practices guidereference/python_mcp_server.md- Python implementation guidereference/node_mcp_server.md- TypeScript implementation guidereference/evaluation.md- Evaluation framework documentation
- Use Cases: MCP server development, external API integration, tool design
- License: Apache 2.0
- Purpose: Meta-skill for creating, modifying, and improving skills with performance measurement
- Key Features:
- Complete skill development lifecycle (ideation → implementation → testing → optimization)
- Quantitative evaluation framework with benchmarking
- Variance analysis for skill performance
- Description optimization for triggering accuracy
- Interactive user guidance with context-aware communication
- File Structure:
SKILL.md- Main skill instructions (33.2 KB)LICENSE.txt- Apache 2.0 licensescripts/run_loop.py- Skill iteration loop runnerscripts/run_eval.py- Evaluation execution scriptscripts/improve_description.py- Description optimizerscripts/package_skill.py- Skill packaging utilityscripts/aggregate_benchmark.py- Benchmark aggregationscripts/generate_report.py- Report generationscripts/quick_validate.py- Quick validation toolscripts/utils.py- Utility functionsreferences/schemas.md- Data schema referenceagents/analyzer.md- Analysis agent instructionsagents/grader.md- Grading agent instructionsagents/comparator.md- Comparison agent instructionsassets/eval_review.html- Evaluation review UI
- Use Cases: Skill development, skill optimization, performance measurement
- License: Apache 2.0
- Purpose: Standardized pre-deployment quality gates for Node.js/Next.js projects with comprehensive validation and CI/CD integration
- Key Features:
- Multi-check validation: Lint, TypeScript, tests, security audits, builds
- Flexible JSON-based configuration system
- Parallel and sequential execution modes
- Branch-aware check skipping for protected branches
- Monorepo support with multi-project validation
- Console and JSON reporting formats
- Coverage threshold validation for tests
- CLI interface with npx support
- Full TypeScript implementation with strict mode
- File Structure:
SKILL.md- Main skill instructions (5.2 KB)LICENSE- MIT licenseREADME.md- Comprehensive documentation (7.1 KB)package.json- npm package configurationsrc/- TypeScript implementationindex.ts- Main PreDeployValidator classcli.ts- Command-line interfacetypes.ts- TypeScript interfaces and typeschecks/- Five validation check implementations (lint, typescript, tests, security-audit, builds)reporters/- Console and JSON output formatters
__tests__/- Unit and integration tests (85%+ coverage)examples/- Three configuration examples (minimal, advanced, monorepo).github/workflows/test.yml- CI/CD workflow
- Use Cases: Pre-deployment validation, CI/CD integration, monorepo validation, quality gate enforcement
- License: MIT
- Publication: Designed for npm publication as
@anthropic-community/pre-deploy-validator
All 6 skills comply with the Agent Skills specification:
- ✅ SKILL.md files with required YAML frontmatter (name, description)
- ✅ LICENSE files with appropriate open-source licenses (Apache 2.0 or MIT)
- ✅ Self-contained folder structures
- ✅ Clear, actionable instructions
- ✅ Supporting resources (scripts, references, assets)
- ✅ No external dependencies on private systems
- ✅ No sensitive data, API keys, or credentials
- ✅ All relative paths use consistent conventions
- ✅ Examples are complete and functional
- ✅ Documentation is comprehensive and clear
- ✅ Code files are properly formatted
These skills are already configured in the "example-skills" plugin collection:
"example-skills": {
"description": "Collection of example skills demonstrating various capabilities...",
"skills": [
"./skills/canvas-design",
"./skills/slack-gif-creator",
"./skills/web-artifacts-builder",
"./skills/mcp-builder",
"./skills/skill-creator",
// ... plus 7 other example skills
]
}These 6 skills provide significant value to Anthropic's skills repository:
- Creative Domain (canvas-design): Demonstrates visual design capabilities and design philosophy thinking
- Animation & Visualization (slack-gif-creator): Shows how to work with complex media formats
- Web Development (web-artifacts-builder): Exemplifies modern frontend stack integration
- System Integration (mcp-builder): Teaches protocol server development and external API integration
- Meta-Skills (skill-creator): Provides framework for creating and optimizing skills
- DevOps & CI/CD (pre-deploy-validator): Demonstrates quality gate automation and pre-deployment validation
All 6 skills are production-ready for contribution to Anthropic's anthropics/skills repository. They meet all technical requirements, contain no proprietary content, and provide valuable examples for developers creating their own skills. Pre-deploy-validator is additionally ready for npm publication as a reusable package.