Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
Graph database implementation for relationship-heavy data models. Use when building social networks, recommendation engines, knowledge graphs, or fraud detection. Covers Neo4j (primary), ArangoDB, Amazon Neptune, Cypher query patterns, and graph data modeling.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
Implements search and filter interfaces for both frontend (React/TypeScript) and backend (Python) with debouncing, query management, and database integration. Use when adding search functionality, building filter UIs, implementing faceted search, or optimizing search performance.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
API design and implementation across REST, GraphQL, gRPC, and tRPC patterns. Use when building backend services, public APIs, or service-to-service communication. Covers REST frameworks (FastAPI, Axum, Gin, Hono), GraphQL libraries (Strawberry, async-graphql, gqlgen, Pothos), gRPC (Tonic, Connect-Go), tRPC for TypeScript, pagination strategies (cursor-based, offset-based), rate limiting, caching, versioning, and OpenAPI documentation generation. Includes frontend integration patterns for forms, tables, dashboards, and ai-chat skills.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
Configure TLS certificates and encryption for secure communications. Use when setting up HTTPS, securing service-to-service connections, implementing mutual TLS (mTLS), or debugging certificate issues.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
Implements drag-and-drop and sortable interfaces with React/TypeScript including kanban boards, sortable lists, file uploads, and reorderable grids. Use when building interactive UIs requiring direct manipulation, spatial organization, or touch-friendly reordering.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
Implements navigation patterns and routing for both frontend (React/TS) and backend (Python) including menus, tabs, breadcrumbs, client-side routing, and server-side route configuration. Use when building navigation systems or setting up routing.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
Debugging workflows for Python (pdb, debugpy), Go (delve), Rust (lldb), and Node.js, including container debugging (kubectl debug, ephemeral containers) and production-safe debugging techniques with distributed tracing and correlation IDs. Use when setting breakpoints, debugging containers/pods, remote debugging, or production debugging.
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ancoleman/ai-design-components☆ 526Updated Dec 11, 2025
Create, review, and merge GitHub pull requests and publish releases using repository Git rules. Use for requests to open a PR, push and create a PR, review PRs, merge a PR, or tag a release and write release notes.
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wataru-maeda/react-native-boilerplate☆ 523Updated Oct 18, 2026
Create or update README files, AGENTS.md rules, and skills from actual code. Use before editing any README.md, AGENTS.md, or skill, or when condensing them.
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wataru-maeda/react-native-boilerplate☆ 523Updated Oct 18, 2026
Review a branch diff against repository rules, with required security and license reviews. Report cited violations and offer scoped fixes when the user requests a code review.
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wataru-maeda/react-native-boilerplate☆ 523Updated Oct 18, 2026
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Originally from OpenAI's curated skills catalog.
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trailofbits/skills-curated☆ 521Updated Jul 15, 2026
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`). Originally from OpenAI's curated skills catalog.
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trailofbits/skills-curated☆ 521Updated Jul 15, 2026
维护中文毕业论文的 `codex_md/question_list.md`:把本轮问题、边界、优先级、协作方案和验收口径结构化,作为整条 thesis pipeline 的控制面。
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WILLOSCAR/research-units-pipeline-skills☆ 516Updated Oct 5, 2026
初始化中文毕业论文工作区:检查学校模板与已有材料的放置位置,明确提示当前还缺什么,建立 `codex_md/` / `claude_md/` / `tmp_layout*/` 等中间层目录,并生成材料盘点与初始工作文件。
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WILLOSCAR/research-units-pipeline-skills☆ 516Updated Oct 5, 2026
Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`.
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WILLOSCAR/research-units-pipeline-skills☆ 516Updated Oct 5, 2026
通过脚本直连高德 Web Service API 完成地理编码、逆地理编码、IP 定位、天气、路径规划、距离测量和 POI 查询。用户要求“高德/AMap 查询”“路线规划”“地理编码”“POI 搜索”或需要用命令行脚本调用高德 API 时使用。
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MagicCube/agentara☆ 516Updated May 11, 2026
Daily tech product and open-source discovery digest. Fetches today's Product Hunt leaderboard and GitHub Trending top 10, then curates a personalized briefing in the user's preferred language using their memory/profile to highlight items most relevant to them. Use this skill whenever the user says "daily hunt", "今日猎奇", "tech digest", "daily digest", "what's trending", "今天有什么新产品", "PH today", "show me today's launches", "GitHub trending", "今日趋势", "morning briefing", "tech briefing", "daily brief", or any combination asking about Product Hunt + GitHub Trending together. Also trigger when the user asks about new product launches, trending repos, or wants a curated tech news digest. Even casual phrasing like "what's new in tech today" or "有什么好玩的项目" should trigger this skill.
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MagicCube/agentara☆ 516Updated May 11, 2026
Relay the current Claude Code session to Agentara for continued execution
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MagicCube/agentara☆ 516Updated May 11, 2026
Scope-aware GitHub PR review with user-friendly tone and trust tier validation
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proffesor-for-testing/agentic-qe☆ 515Updated Oct 26, 2026
Apply safe refactoring patterns to improve code structure without changing behavior. Use when cleaning up code, reducing technical debt, or improving maintainability.
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proffesor-for-testing/agentic-qe☆ 515Updated Oct 26, 2026
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
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proffesor-for-testing/agentic-qe☆ 515Updated Oct 26, 2026
Evidence-based investigative code review using deductive reasoning to determine what actually happened versus what was claimed. Use when verifying implementation claims, investigating bugs, validating fixes, or conducting root cause analysis. Elementary approach to finding truth through systematic observation.
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proffesor-for-testing/agentic-qe☆ 515Updated Oct 26, 2026
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
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proffesor-for-testing/agentic-qe☆ 515Updated Oct 26, 2026