sickn33/antigravity-awesome-skills

• **Archetype**: mega-skill-pack
• **Stars**: 32,542
• **Last pushed**: 2026-04-13
• **License**: MIT
• **Discovered**: 2026-04-13
• **Source**: gh-search
• **Skills found**: 1,404

Summary

Sophisticated installable library of 1,404+ agentic skills for multiple AI coding assistants (Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, etc.) with professional npm installer, structured metadata system, risk categorization, and comprehensive documentation. Features skills across development, security, testing, architecture, and business operations with bundles and workflow organization.

Assessment

VERY HIGH VALUE. This is the most professionally organized mega-skill-pack with sophisticated infrastructure including npm installation, structured metadata (risk levels, authorship, dates), comprehensive categorization system, and multi-harness support. The skills span a wide range of domains with high-quality procedural content. The repository includes advanced features like automated catalog generation, bundle management, and workflow orchestration. The metadata system enables quality filtering and the professional organization makes it highly extractable. Notable strength in architecture patterns (C4 documentation, ADRs), security testing workflows, and agent design patterns.

Extraction Priority

VERY HIGH - Contains the most sophisticated skill collection with advanced infrastructure patterns:

• Advanced skill organization and metadata systems → methodologies/skill-engineering/
• Multi-harness installation and distribution patterns → specializations/tools-integration/
• Comprehensive security testing workflows → specializations/security-compliance/
• Architecture documentation and decision-making processes → specializations/software-architecture/
• Agent workflow orchestration patterns → specializations/shared/

Processes

- Source: Overall repository structure, CATALOG.md generation, metadata system - Placement: methodologies/skill-engineering/ - Inputs: Skill collection, categorization requirements, distribution targets - Outputs: Organized skill library, automated catalogs, installation packages - Complexity: complex - Notes: Includes npm packaging, metadata schemas, automated indexing, multi-harness distribution

• **skill-library-management**: Systematic process for organizing, categorizing, and distributing large collections of procedural skills

Plugin Ideas

- What install.md would do: Install npm package manager, set up skill indexing, configure multi-harness distribution, create catalog management tools - Processes it would copy: skill-library-management - Configs/hooks it would create: Skill metadata schemas, catalog generators, installation scripts, harness adapters - Source evidence: Sophisticated npm-based distribution system with 1,404+ skills and automated catalog generation

• **antigravity-skill-distribution**: Plugin for installing and managing large skill collections with metadata tracking

Implicit Procedural Knowledge

- Source: Multi-harness support documentation and installation system - Placement: methodologies/cross-platform-development/ - Why codify: Enables creating portable skills that work consistently across different AI harnesses - Sketch: Harness capability analysis → Common denominator identification → Skill abstraction → Multi-harness testing → Distribution packaging

• **Multi-Harness Skill Distribution**: Methodology for creating skills that work across multiple AI coding assistants with consistent behavior

Library Mapping

Plugin Marketplace Mapping