{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-sickn33--antigravity-awesome-skills","slug":"sickn33--antigravity-awesome-skills","name":"antigravity-awesome-skills","type":"repo","url":"https://sickn33.github.io/antigravity-awesome-skills/","page_url":"https://unfragile.ai/sickn33--antigravity-awesome-skills","categories":["app-builders"],"tags":["agent-skills","agentic-skills","ai-agent-skills","ai-agents","ai-coding","ai-workflows","antigravity","antigravity-skills","claude-code","claude-code-skills","codex-cli","codex-skills","cursor","cursor-skills","developer-tools","gemini-cli","gemini-skills","kiro","mcp","skill-library"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-sickn33--antigravity-awesome-skills__cap_0","uri":"capability://tool.use.integration.multi.platform.skill.distribution.via.installer.cli","name":"multi-platform skill distribution via installer cli","description":"Distributes 1,431+ validated skills across heterogeneous AI coding platforms (Claude Code, Cursor, Gemini CLI, Kiro, Antigravity) through a unified NPM-based installer CLI that detects platform context and deploys skills to platform-specific directories. Uses platform-agnostic SKILL.md format with YAML frontmatter that gets transpiled into platform-native configurations at install time, eliminating manual per-platform setup.","intents":["Install a skill library once and have it work across all my AI coding tools without manual configuration per platform","Distribute custom skills to a team using multiple different AI assistants without maintaining separate skill repositories","Ensure skills remain synchronized across platforms when updates are published"],"best_for":["teams using heterogeneous AI coding stacks (Claude Code + Cursor + Gemini CLI simultaneously)","enterprise developers managing skills across multiple AI assistant platforms","open-source maintainers building skill ecosystems for multiple tools"],"limitations":["Platform detection relies on environment variables and directory heuristics — may fail in containerized or non-standard environments","Skills must conform to SKILL.md format with YAML frontmatter — custom platform-specific extensions require wrapper skills","No built-in rollback mechanism — failed installations require manual cleanup of partial deployments"],"requires":["Node.js 14+ and npm (for npx installer)","Git (for git clone installation method)","One or more supported AI coding platforms installed locally (Claude Code, Cursor, Gemini CLI, Kiro, or Antigravity)"],"input_types":["SKILL.md markdown files with YAML frontmatter","skill bundles (JSON metadata referencing multiple skills)","platform configuration files (platform-specific)"],"output_types":["platform-native skill configurations","installed skill directories in platform-specific locations","installation manifest with metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_1","uri":"capability://safety.moderation.automated.skill.validation.pipeline.with.quality.gates","name":"automated skill validation pipeline with quality gates","description":"Enforces strict structural and semantic validation on all 1,431+ skills through a Python-based validation pipeline that runs on every commit and pull request. Validates YAML frontmatter schema, markdown structure, required metadata fields (title, category, tags, description), skill naming conventions, and content completeness. Blocks invalid skills from being indexed and published, maintaining catalog integrity.","intents":["Ensure all community-contributed skills meet minimum quality standards before publication","Catch malformed SKILL.md files early in the contribution workflow without manual review","Maintain a searchable, reliable skill catalog that developers can trust"],"best_for":["open-source skill library maintainers managing community contributions","teams enforcing skill quality standards across large skill repositories","CI/CD pipelines that need automated skill validation before deployment"],"limitations":["Validation is structural and schema-based — cannot detect semantic errors (e.g., incorrect instructions, outdated API references)","Custom validation rules require modifying Python validation scripts — no declarative rule engine","Validation errors are reported as pass/fail without granular severity levels (warning vs error)"],"requires":["Python 3.x with PyYAML library","Git hooks or CI/CD system (GitHub Actions, GitLab CI, etc.) to trigger validation","validate_skills.py script from tools/scripts/ directory"],"input_types":["SKILL.md markdown files","YAML frontmatter metadata","skill catalog JSON (skills_index.json)"],"output_types":["validation report (pass/fail per skill)","error messages with line numbers and field names","filtered skill index (only validated skills)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_10","uri":"capability://automation.workflow.skill.versioning.and.release.management","name":"skill versioning and release management","description":"Manages skill library versions via semantic versioning (v10.4.0 as of latest release) with changelog tracking (CHANGELOG.md) and release notes. Each release bundles validated skills, updated catalog, and documentation. Versions are tagged in git and published to npm registry for distribution via npx. Release process includes automated changelog generation, version bumping, and publication to npm. Skills themselves don't have individual versions — entire library is versioned as a unit.","intents":["Track changes and updates to the skill library across releases","Install a specific version of the skill library for reproducibility","Understand what changed between releases via changelog"],"best_for":["skill library maintainers managing releases and versions","teams requiring reproducible skill library versions","developers tracking breaking changes or new skills across releases"],"limitations":["Library-level versioning only — individual skills cannot be versioned independently","No built-in rollback mechanism — reverting to previous versions requires manual git operations","Changelog is manually maintained — no automatic changelog generation from commits"],"requires":["Git tags for version markers","CHANGELOG.md file with release notes","npm account and registry access for publishing","Semantic versioning discipline (major.minor.patch)"],"input_types":["git commits and tags","changelog entries","version numbers"],"output_types":["npm package with versioned skill library","git tags and releases","CHANGELOG.md with release notes"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_11","uri":"capability://text.generation.language.skill.documentation.and.usage.examples","name":"skill documentation and usage examples","description":"Provides comprehensive documentation including getting-started guides (docs/users/getting-started.md), usage instructions (docs/USAGE.md), bundle documentation (docs/BUNDLES.md), FAQ (docs/FAQ.md), and example skills showcase (docs/EXAMPLES.md). Documentation covers installation methods, platform-specific setup, skill invocation syntax, bundle usage, and troubleshooting. Each skill includes inline examples and prerequisites in its SKILL.md body. Web app provides skill previews with metadata and direct links to full documentation.","intents":["Learn how to install and use the skill library for the first time","Understand platform-specific setup and skill invocation syntax","Find examples and troubleshooting guidance for common issues"],"best_for":["new users onboarding to the skill library","developers learning platform-specific skill integration","teams standardizing on skill library usage"],"limitations":["Documentation is static markdown — no interactive tutorials or guided walkthroughs","Platform-specific documentation may lag behind platform updates","No built-in documentation search — users must browse or use browser search"],"requires":["Markdown viewer or GitHub web interface","Basic understanding of AI coding assistants and CLI tools"],"input_types":["markdown documentation files","skill examples and code snippets","FAQ entries"],"output_types":["rendered documentation (HTML or markdown)","skill examples and usage patterns","troubleshooting guides"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_2","uri":"capability://search.retrieval.skill.discovery.and.search.via.web.application","name":"skill discovery and search via web application","description":"Provides an interactive browser-based UI (Vite React SPA) for discovering, searching, and filtering 1,431+ skills across 9 categories. Implements full-text search, faceted filtering by category/tags/platform, skill preview with metadata display, and direct installation links. The web app indexes skills from the generated skills_index.json catalog and serves as the primary discovery interface for developers.","intents":["Find the right skill for my task by browsing categories or searching by keyword","Filter skills by platform compatibility (Claude Code vs Cursor vs Gemini CLI)","Preview skill metadata and instructions before installing"],"best_for":["developers discovering skills for the first time via web interface","non-technical users exploring available skills without CLI knowledge","teams onboarding new members to the skill library"],"limitations":["Search is client-side full-text matching — no semantic search or relevance ranking","Web app requires pre-generated skills_index.json — cannot index skills in real-time from repository","No user accounts, bookmarks, or personalized recommendations — stateless interface"],"requires":["Modern web browser with JavaScript enabled","Generated skills_index.json file (produced by generate_index.py)","Static hosting or local development server (Vite dev server)"],"input_types":["skills_index.json (generated skill catalog)","CATALOG.md (category and metadata definitions)","user search queries and filter selections"],"output_types":["HTML/CSS/JavaScript rendered skill cards","filtered skill lists with metadata","installation command snippets","direct links to skill files in repository"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_3","uri":"capability://automation.workflow.skill.bundling.and.workflow.composition","name":"skill bundling and workflow composition","description":"Enables grouping of related skills into named bundles (defined in data/bundles.json) that can be installed together as a unit. Bundles represent common workflows (e.g., 'security-audit', 'data-pipeline', 'api-design') and reference multiple skills by name. Installers resolve bundle names to constituent skills and deploy them atomically, allowing developers to install entire workflows with a single command.","intents":["Install a complete workflow (e.g., all skills needed for API design) with a single command instead of installing skills individually","Share curated skill collections with my team without manually listing each skill","Organize skills into logical workflows that represent common development tasks"],"best_for":["teams standardizing on skill workflows for common tasks","skill library maintainers curating collections for specific domains (security, data, infrastructure)","developers onboarding to a skill library who want pre-configured workflows"],"limitations":["Bundles are static JSON definitions — no dynamic composition or conditional skill inclusion","No dependency resolution between skills — circular references or conflicting skills are not detected","Bundle versioning is not supported — bundles always reference latest skill versions"],"requires":["data/bundles.json file with bundle definitions","Installer CLI that resolves bundle names to skill lists","All referenced skills must exist in the skill library"],"input_types":["bundle name (string identifier)","bundles.json metadata file","skill references (skill names)"],"output_types":["list of constituent skills","installed skill directories for all bundle members","bundle manifest with metadata"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_4","uri":"capability://data.processing.analysis.skill.metadata.indexing.and.catalog.generation","name":"skill metadata indexing and catalog generation","description":"Automatically generates a searchable skill catalog (skills_index.json) from raw SKILL.md files by parsing YAML frontmatter and extracting metadata (title, category, tags, description, platform compatibility). The generate_index.py script walks the skills/ directory, validates each skill, extracts metadata, and produces a JSON index that powers the web UI, CLI search, and platform-specific installations. Catalog is regenerated on every commit to keep it synchronized with skill definitions.","intents":["Maintain an up-to-date searchable index of all skills without manual catalog maintenance","Enable fast skill lookup by name, category, or tags without parsing markdown files at runtime","Generate platform-specific skill lists for each supported AI assistant"],"best_for":["skill library maintainers automating catalog updates","CI/CD pipelines that need to regenerate catalogs on every commit","systems that need fast skill lookup without filesystem traversal"],"limitations":["Index generation is batch-based — no incremental updates for single skill changes","Metadata extraction is limited to YAML frontmatter — cannot extract semantic information from skill body","Index format is JSON — no support for other query formats (SQL, GraphQL, etc.)"],"requires":["Python 3.x with PyYAML library","generate_index.py script from tools/scripts/ directory","Valid SKILL.md files with YAML frontmatter in skills/ directory"],"input_types":["SKILL.md markdown files with YAML frontmatter","skills/ directory structure","category and platform definitions"],"output_types":["skills_index.json (searchable skill catalog)","CATALOG.md (human-readable catalog documentation)","platform-specific skill lists (JSON per platform)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_5","uri":"capability://tool.use.integration.skill.invocation.via.context.aware.agent.integration","name":"skill invocation via context-aware agent integration","description":"Enables AI coding assistants to load and invoke skills on-demand by name (e.g., @brainstorming, @security-audit) without pre-loading all skills into context. Skills are loaded only when explicitly invoked, preventing context window overflow while giving agents access to specialized expertise across 1,431+ domains. Integration points include Claude Code context files, Cursor skill definitions, Gemini CLI prompts, and Kiro skill registries. Each platform has native bindings that handle skill loading and prompt injection.","intents":["Invoke a specific skill by name in my AI assistant without manually copying/pasting instructions","Keep my AI assistant's context window efficient by loading only the skills I need","Access expert-level instructions for specialized tasks (security, data pipelines, infrastructure) on-demand"],"best_for":["developers using Claude Code, Cursor, Gemini CLI, or Kiro who want on-demand skill access","teams standardizing on skill-driven workflows within their AI assistants","power users who need access to 1,000+ specialized instructions without context bloat"],"limitations":["Skill invocation syntax varies by platform — @skill-name in Claude Code vs different syntax in Cursor","Skills are loaded into context at invocation time — adds latency (~100-500ms per skill load depending on skill size)","No built-in skill versioning — agents always load the latest version of a skill"],"requires":["Supported AI coding assistant (Claude Code, Cursor, Gemini CLI, Kiro, or Antigravity)","Skills installed via installer CLI to platform-specific directories","Platform-native skill integration (context files, skill registries, etc.)"],"input_types":["skill name (string identifier)","optional skill parameters or context","user query or task description"],"output_types":["skill instructions injected into agent context","agent response using skill guidance","task completion with skill-informed expertise"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_6","uri":"capability://data.processing.analysis.skill.anatomy.and.format.standardization","name":"skill anatomy and format standardization","description":"Defines a standardized SKILL.md format with YAML frontmatter (title, category, tags, description, platform compatibility, aliases) followed by markdown body containing structured instructions. All 1,431+ skills conform to this format, enabling consistent parsing, validation, and platform-agnostic distribution. Format includes optional sections for examples, prerequisites, and platform-specific notes. Standardization allows tooling (validators, indexers, installers) to work uniformly across all skills without custom parsing logic.","intents":["Create new skills that are compatible with all supported platforms without learning platform-specific formats","Ensure skills are discoverable, searchable, and installable across the entire ecosystem","Maintain consistency across 1,431+ community-contributed skills"],"best_for":["skill library contributors creating new skills","maintainers enforcing skill quality and consistency","developers building tools that consume skills (validators, indexers, installers)"],"limitations":["Format is markdown-based — no support for binary content, images, or complex structured data","YAML frontmatter has fixed schema — custom metadata requires extending the schema and updating validators","Platform-specific instructions must be embedded in markdown body — no native multi-platform branching"],"requires":["Understanding of YAML syntax for frontmatter","Markdown knowledge for skill body","Familiarity with required metadata fields (title, category, tags, description)"],"input_types":["markdown text with YAML frontmatter","skill instructions and examples","platform compatibility metadata"],"output_types":["validated SKILL.md file","parsed metadata (JSON)","platform-native skill configurations"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_7","uri":"capability://memory.knowledge.skill.categorization.and.taxonomy.management","name":"skill categorization and taxonomy management","description":"Organizes 1,431+ skills into 9 primary categories (Architecture, Business, Data & AI, Development, General, Infrastructure, Security, Testing, Workflow) with hierarchical tagging and aliases. Categories are defined in CATALOG.md and enforced via validation. Each skill is tagged with primary category + optional secondary tags for fine-grained discovery. Aliases enable skill discovery by alternative names (e.g., 'security-audit' can be invoked as 'audit' or 'security-check'). Taxonomy is maintained in data/aliases.json and enforced during indexing.","intents":["Browse skills by category to find relevant expertise for my domain","Discover skills using alternative names or aliases without knowing exact skill names","Organize and maintain a consistent taxonomy across 1,431+ community-contributed skills"],"best_for":["skill library maintainers managing large skill collections","developers discovering skills by domain or category","teams standardizing on skill naming conventions and taxonomy"],"limitations":["Taxonomy is flat (9 primary categories) — no hierarchical subcategories","Aliases are manually maintained in data/aliases.json — no automatic alias generation","Category assignment is single-valued per skill — no multi-category skills"],"requires":["CATALOG.md file defining category structure","data/aliases.json file with skill aliases","Validation that enforces category assignment for all skills"],"input_types":["skill metadata (category, tags)","alias definitions (JSON)","category taxonomy (markdown)"],"output_types":["categorized skill lists","faceted search results by category","alias resolution (alternative names → canonical skill names)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_8","uri":"capability://automation.workflow.contribution.workflow.and.pull.request.validation","name":"contribution workflow and pull request validation","description":"Implements a structured contribution workflow where new skills are submitted as pull requests, automatically validated against schema and quality standards, and merged only after passing validation gates. The workflow includes skill anatomy templates, contribution guidelines (docs/CONTRIBUTION.md), automated validation on every PR, and maintainer review. GitHub Actions runs validate_skills.py and generate_index.py on every PR to ensure new skills meet quality standards before merging.","intents":["Contribute new skills to the library without manual review of technical requirements","Ensure all contributed skills meet quality standards before publication","Maintain a high-quality, reliable skill library with community contributions"],"best_for":["open-source skill library maintainers managing community contributions","developers contributing new skills to the library","teams enforcing skill quality standards in a collaborative environment"],"limitations":["Validation is automated but limited to schema and structure — semantic review still requires human maintainers","PR workflow requires GitHub account and familiarity with git/GitHub — barriers for non-technical contributors","No automated skill testing — validation cannot verify that skill instructions are correct or effective"],"requires":["GitHub account and git knowledge","Understanding of SKILL.md format and contribution guidelines","GitHub Actions enabled on repository (for automated validation)"],"input_types":["new SKILL.md files","pull request metadata","contributor comments and context"],"output_types":["validation report on PR","automated feedback on schema/structure issues","merged skills added to catalog"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__cap_9","uri":"capability://tool.use.integration.platform.specific.skill.adaptation.and.transpilation","name":"platform-specific skill adaptation and transpilation","description":"Transpiles platform-agnostic SKILL.md files into platform-native configurations at install time. For Claude Code, generates context files; for Cursor, creates skill definitions; for Gemini CLI, produces prompt templates; for Kiro, populates skill registries. Transpilation handles platform-specific syntax, context injection patterns, and API differences. Each platform has a dedicated adapter that reads SKILL.md metadata and body, then generates platform-native output without requiring separate skill definitions per platform.","intents":["Write skills once in SKILL.md format and have them work across all supported platforms automatically","Avoid maintaining separate skill definitions for Claude Code, Cursor, Gemini CLI, Kiro, and Antigravity","Ensure platform-specific syntax and integration patterns are handled transparently"],"best_for":["skill library maintainers distributing skills across multiple platforms","developers creating skills that work universally across AI assistants","teams avoiding platform-specific skill duplication and maintenance"],"limitations":["Transpilation is one-way (SKILL.md → platform-native) — platform-specific skills cannot be reverse-transpiled","Platform-specific features not supported in SKILL.md format require wrapper skills or custom adapters","Transpilation adds ~50-100ms overhead per skill installation"],"requires":["Installer CLI with platform-specific adapters","SKILL.md files with valid YAML frontmatter and markdown body","Target platform installed locally (Claude Code, Cursor, Gemini CLI, Kiro, or Antigravity)"],"input_types":["SKILL.md markdown files","platform identifier (claude-code, cursor, gemini-cli, kiro, antigravity)","platform configuration paths"],"output_types":["platform-native skill configurations","context files (Claude Code)","skill definitions (Cursor)","prompt templates (Gemini CLI)","skill registry entries (Kiro)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-sickn33--antigravity-awesome-skills__headline","uri":"capability://tool.use.integration.ai.agent.skill.library","name":"ai agent skill library","description":"A comprehensive library of 1,400+ reusable agentic skills designed for AI coding assistants, enabling them to perform specific tasks with expert-level precision 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