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eli5
Explain Like I'm 5. Simplifies complex programming concepts using everyday analogies, simple language, and relatable examples. Use when the current explanation is too complex or user wants a simpler breakdown.
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research llm ai AI Skills
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research
Fetches latest documentation for programming libraries, frameworks, and tools. Use when studying current APIs, best practices, release notes, or feature updates. Triggers for requests like "What's new in React?...
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practice
Generates hands-on coding exercises for the current topic. Provides progressively challenging problems with hints and solutions. Use when user wants to practice and reinforce learning.
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slash-commands
Create custom slash commands for Claude Code. Use when users want to create, modify, or understand slash commands for Claude Code CLI tool. Slash commands are markdown files that define reusable prompts and wor...
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skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
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task-planning
명세서와 사용자 스토리를 분석하여 다음 작업을 계획합니다. "다음 작업 뭐야", "작업 계획 세워줘", "할 일 정리해줘", "다음에 뭐 해야 해" 등을 요청할 때 활성화됩니다.
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GitHub
message-reply
Draft professional replies to received messages across platforms (LinkedIn, Fiverr, Upwork, Interview, Email, WhatsApp). This skill should be used when the user pastes a received message and needs a reply draft...
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GitHub
chatkit
Build AI chat applications with OpenAI ChatKit SDK. Use when creating chat UIs, multi-session systems, integrating AI agents (OpenAI, Gemini, Claude, Ollama), adding tools with MCP, widgets, or building convers...
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interview
This skill conducts discovery conversations to understand user intent and agree on approach before taking action. It should be used when the user explicitly calls /interview, asks for recommendations, needs bra...
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GitHub
chitti-mcp
Use this skill when you need to start or call Chitti's MCP server (chitti.decide/recall/policy/audit) from Codex, keeping tool details out of context until invoked.
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GitHub
argument-mapping
Reconstruct, visualize, and analyze argument structure. Use for: argument reconstruction, premise identification, inference evaluation, finding hidden assumptions, visualizing debates, Toulmin model analysis. T...
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GitHub
context7
Intelligent usage of Context7 MCP for fetching current, version-specific library documentation. Automatically invoked when working with external libraries, frameworks, or APIs where up-to-date documentation imp...
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qa-orchestrator
Coordinates adaptive QA testing across behavioral, contract, and regression dimensions. Routes to specialized sub-agents based on context and depth.
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disagreement-resolution
Resolve disagreements between agents or approaches using test-based adjudication. Use when agents disagree, when multiple valid approaches exist, when the user asks "which approach", or when making architectura...
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project-memory
Retrieve relevant context from past sessions before starting implementation. Use when beginning work on a task, when the user describes what to build, when about to write significant code, or when stuck on a pr...
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GitHub
prime
New agent startup checklist for Agent Mail and Beads. Use when starting a new agent session, when the user says "prime" or "startup", or when beginning work on a multi-agent project.
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GitHub
cass-search
Search past AI sessions with CASS. Use when looking for past solutions, searching session history, finding how something was done before, or when the user mentions "cass", "history", or "past sessions".
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GitHub
cass-memory
Cross-agent learning with cm (cass-memory). Use before starting non-trivial tasks, when looking for patterns from past work, when the user mentions "cm", "memory", "learned rules", or "what do we know about".
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GitHub
langsmith-debugger
Debug and analyze {{PROJECT_NAME}} LangGraph agent traces. Use when investigating agent behavior patterns, finding failures, analyzing latency, or understanding why Orchestrator/Analyst responses went wrong. Co...
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GitHub
llm-models-reference
Reference guide for OpenAI model IDs, capabilities, pricing, and provider endpoints. Use when selecting a model, comparing OpenAI capabilities, or validating model IDs for {{PROJECT_NAME}}.
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GitHub
fastapi-production-patterns
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
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GitHub
fastapi-production-patterns
Build production-ready FastAPI applications with async patterns, Pydantic validation, dependency injection, middleware, and database integration. Use for FastAPI endpoints, async workflows, or API design.
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GitHub
ai-solution-architect
Advanced AI Solution Architect wisdom for designing production-grade AI systems. Use when (1) architecting new agents, workflows, or AI features, (2) debugging agent behavior or performance issues, (3) making t...
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GitHub
dppm-orchestration
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
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