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A meta-skill for authoring high-performance, verifiable, long-running MCP skills using Code Mode. This skill blends Anthropic and OpenAI skill-authoring guidance with Code-Mode-first, MCP-backed execution, dyna...
Use mcpc to interact with the Notion MCP server: connect sessions, search workspace content, fetch pages/databases, and run helper scripts for common Notion actions.
Run Notion MCP searches for pages/blocks and fetch page comments via mcpc-backed Python wrappers. Use when Codex needs deterministic, file-backed Notion queries (filters come later).
Fast environment briefing for agents and subagents. Use at session start to learn OS/shell, container/WSL/VM status, git repo + upstream + dirty state, Python venv status/locations, markdown folders to read, an...
Bidirectional planning for ambiguous or design-heavy tasks. Use when the user requests help breaking down a problem or formulating a plan, and also when an existing plan has too many gaps or needs refinement; c...
Audit tool integrations for deterministic behavior, error contracts, and logging before agents depend on them. Use when adding or updating tools or MCP servers.
Local-first tasks CLI for managing project work with dependencies, tags, priorities, and status. Use when adding, editing, or organizing tasks with the `tasks` command in a repo.
comprehensive 12-step project development workflow from initialization through deployment. use when starting a new project, continuing project development, or user mentions project steps, architecture planning,...
6-step feature implementation workflow for building specific features, components, or modules. use when implementing features from todo lists, user requests feature work, or invoked by pydev-workflow step 07. h...
Generates optimized prompts for AI professional developers through interactive clarification. Asks targeted questions to refine requirements, saves tokens, and ensures reliable outputs. Use when seeking the bes...
Generate clean C# code, Markdown files, agents, prompts, skills in MacroFlow.
Choose architecture, patterns, tech stack, trade-offs in MacroFlow.
Refine user intent through questions and context gathering in MacroFlow.
Specialized skill for converting Markdown documents into professional, branded formats includingPPTX, DOCX, PPT, DOC, PDF, HTML and processing Mermaid diagrams. Use this when asked to generate branded client do...
Orchestrate MacroFlow as a flow network for dynamic AI orchestration.
Use this skill when working with the SurrealDartB package in Dart/Flutter projects. This includes creating embedded SurrealDB databases, performing CRUD operations, managing schemas with code generation, workin...
Automate Excel operations including reading, writing, formatting, and formula manipulation
Test GraphQL APIs with repeatable, file-based operations and variables under /setup/graphql, with per-project endpoint presets in setup/graphql/endpoints.env, using the bundled gql.sh (xh/httpie/curl + jq). Use...
Run CI-friendly API test suites (REST + GraphQL) from a single manifest, delegating to rest.sh/gql.sh and emitting JSON (+ optional JUnit) results. Use when the user asks to reduce CI boilerplate and provide a...
Test REST APIs with repeatable, file-based requests under /setup/rest, with per-project endpoint and Bearer token presets, using the bundled rest.sh (curl + jq). Use when the user asks to manually call REST end...
Find, triage, and fix bugs with or without user input. Autonomously scan codebases, produce an issues list, implement a fix, create a fix branch, commit via semantic-commit, and open a PR with gh.
Analyze problems, design solutions, plan task breakdowns. Use for epic planning, architecture design, and task specification. Outputs planning artifacts for GitHub issue creation.
Design, discover, and refactor multi-command workflows for Claude Code
Verify API endpoints work across Web, Android, and iOS. Check endpoint parity, request/response format consistency, and field name alignment. Use when adding new API endpoints, fixing cross-platform bugs, or au...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.