Discover Documentation skills, compare source repositories and read the instructions for each workflow.
Expert testing patterns for GhostSpeak monorepo (January 2026). Use when (1) Writing unit tests, (2) Building integration tests, (3) Creating E2E tests with Playwright, (4) Testing Solana programs, (5) Testing...
Expert ElizaOS plugin and agent development (January 2026). Use when (1) Building ElizaOS plugins, (2) Creating AI agent characters, (3) Implementing actions, providers, evaluators, (4) Integrating with AgentRu...
Expert-level guide for elizaOS plugin development. Use when (1) Creating new plugins with actions, services, providers, evaluators, (2) Integrating with AgentRuntime for memory, models, events, (3) Building pla...
Expert Convex backend development for December 2025. Use when (1) Building Convex queries, mutations, or actions, (2) Defining schemas and validators, (3) Integrating Convex with React/Next.js, (4) Implementing...
Expert TypeScript development patterns and tooling for December 2025. Use when (1) Setting up modern TypeScript projects with Bun, Node 22+, or Deno, (2) Configuring tsconfig, ESM/CJS dual publishing, or build...
MANDATORY for ALL AI prompts - Automatically validate and improve AI system prompts,
CWF knowledge repository providing plan structure, tasklist format, checkpoint definitions, amendment rules, and validation requirements. Load this skill when: (1) executing CWF commands like /write-plan, /impl...
This skill should be used when creating new RFC 2119-conformant specification documents, iterating on specification drafts, choosing keywords (MUST/SHOULD/MAY/MUST NOT) while writing, structuring sections, or p...
Use for guided Fizzy.do workflows: "set up Fizzy", "configure Fizzy for this project", "sync my work to Fizzy", "review my Fizzy progress", "end of session cleanup". Provides step-by-step guidance for common op...
Pedantic backend pre-commit + atomic-commit skill for Django/Optimo repos that enforces local repo rules, pre-commit hooks, and security helpers (no AI signatures in commit messages).
Generate weekly code-review digest docs from PR review comments for any GitHub repo, capturing themes, repeated issues, and concrete takeaways.
Generate comprehensive, reviewer-friendly PR descriptions with diagrams, summary tables, collapsible sections, and structured test plans.
Create and manage ClickUp tickets directly from Claude Code or Codex. Supports multi-org workspaces, interactive ticket creation, subtasks, backlog management, and intelligent caching of your ClickUp workspace...
Generate comprehensive API docs from Bruno (.bru) files by mapping requests to a Django implementation (DRF/Django Ninja), including auth, multi-tenant filtering, schemas, and code references.
Pedantic backend PR workflow skill enforcing ClickUp-linked branch/PR naming, PR hygiene, safe Django migrations, and downtime-safe schema changes.
Create or update a structured plan directory with a PLAN.md index and numbered task files (001-*.md) containing checklists, tests, and completion criteria.
Create a structured plan directory with Ralph Wiggum Loop integration for backend Django projects (PLAN.md, task files, and RALPH-PROMPT.md).
Mixpanel analytics tracking implementation + review skill for Django optimo_analytics: add events and audit for PII safety, schema design, and code quality.
Upsert a single PR comment that serves as an AI session ledger (human steering, deltas, tests) across Codex + Claude Code. Not a PR description.
Hyper-pedantic Django code review skill emulating Monty's correctness-first, multi-tenant-safe review style.
Expert guidance for building production MCP servers using MXCP (Model Context Protocol eXtension Platform), an enterprise framework with SQL and Python endpoints, security, testing, and deployment. Use when: (1...
Intelligent single-file document ingestion into MXCP servers. Supports Excel (.xlsx, .xls, .csv) and Word (.docx) files. Analyzes content to determine if queries will be needed (DuckDB) or semantic search (RAG...
Provide architecture-specific GPU optimization advice for NVIDIA GPUs (Ampere, Hopper, Ada). Use when discussing GPU architecture features, compute capability, or hardware-specific optimizations.
Optimize CUDA kernels and GPU code for performance. Use when reviewing CUDA code, analyzing performance, or suggesting GPU optimizations.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.