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Interactive skill creator for Claude Code and Agent Skills ecosystem. Build SKILL.md files with proper frontmatter, triggers, and structure. Triggers on creating skills, building skills, skill templates, skill...
Token-Oriented Object Notation (TOON) format expert for 30-60% token savings on structured data. Auto-applies to arrays with 5+ items, tables, logs, API responses, database results. Supports tabular, inline, an...
Expert on Claude Code settings.json configuration, permissions, sandbox, environment variables, and settings hierarchy. Triggers when user mentions settings.json, permissions, allow rules, deny rules, sandbox,...
Expert on Claude Code CLI, skills, commands, hooks, plugins, MCP, settings, and workflows. Triggers on claude code, cli, skill, command, hook, plugin, mcp, slash command, settings
Interactive hook creator for Claude Code. Triggers when user mentions creating hooks, PreToolUse, PostToolUse, hook validation, hook configuration, settings.json hooks, or wants to automate tool execution workf...
This skill should be used when the user wants Claude Code to act purely as a manager/architect while Gemini CLI does all the coding work. Claude Code drives Gemini like an intern - issuing tasks, reviewing outp...
探测用户的写作规范需求并加载对应文档。当用户提到AI味重、去AI味、自然、爽文、快节奏、爽点、无毒点、不降智、严肃文学、有深度、强情绪、打动人、甜文、撒糖、虐文、虐心、BE等关键词时自动激活。适用于讨论写作要求、AI去...
在写作对话场景或用户询问角色对话时使用 - 提供自然、符合角色性格的对话技巧，展现角色并推进情节
Use when a task needs capabilities BEYOND basic tools (Read/Grep/Glob/Bash) - semantic search, AI analysis, research, image generation, etc.
Use before any feature design or requirement exploration - guides conversation to understand user intent through one question at a time, multiple choice when possible, and incremental design validation.
Your approach to handling backend API. Use this skill when working on files where backend API comes into play.
Your approach to handling backend queries. Use this skill when working on files where backend queries comes into play.
Your approach to handling backend models. Use this skill when working on files where backend models comes into play.
22 production-ready AI agents with database-driven orchestration for security reviews, code quality analysis, deployment validation, infrastructure checks, and compliance. Auto-activates for security concerns,...
Synthesize consensus implementation plan from multi-agent debate reports using external AI review
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Trigg...
Technical conversation log with factual accuracy and precision tailored specifically for DEVELOPER and ENGINEER profiles. Provides systematic guidance for capturing decisions, outcomes, and next steps. Use when...
Reference manual for framework methodology throughout session. Provides guidance on cognitive architecture that replaces default AI assistant behaviors with systematic patterns proven through collaborative expe...
Technical design collaboration through natural dialogue. Adapts to expertise level and problem complexity through understanding, exploration, and validation stages. Use when user asks to brainstorm ideas for ne...
Analyze Wispr Flow voice dictation data. Stats, search, export, visualizations. Use when user says "dictation history", "word counts", "voice analytics", "how much did I dictate", "search my dictation".
Provides research patterns for Azure AI Foundry Agent Service SDK. Use when implementing agent features, looking up SDK methods, finding code samples, or troubleshooting Azure.AI.Projects API usage.
Provides step-by-step procedures for validating UI features - theme toggle, new chat, cancel stream, markdown rendering, and token usage info.
Provides SSE streaming patterns for the chat API and frontend. Use when implementing or modifying chat streaming, handling SSE events, or troubleshooting message flow between frontend and backend.
Comprehensive index of 82+ Dagster integrations organized by official tags.yml taxonomy including AI (OpenAI, Anthropic), ETL (dbt, Fivetran, Airbyte, PySpark), Storage (Snowflake, BigQuery), Compute (AWS, Data...
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.