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agent-handoffs
Agent parameter passing, memory files, and data handoffs between agents
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Testing & security AI Skills
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Categories: Testing & security
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GitHub
template-skill
Replace with description of the skill and when Claude should use it.
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GitHub
pr-comment-auto
Wait for PR review comments, fix issues raised, summarise, and respond to reviewers automatically.
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GitHub
ralph-spec
Write Ralph specification documents - structured feature specs with clear requirements, acceptance criteria, and implementation guidance for autonomous task execution
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GitHub
multiplicity-orchestration
Run multiple AI instances in parallel, coordinate their execution, manage timing and dependencies
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GitHub
mcp-python-design
A strict protocol for architecting Model Context Protocol (MCP) servers using FastMCP Python SDK, enforcing Tools vs Resources separation, type safety for LLM schema generation, and context-first thinking.
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GitHub
bias-and-fairness-auditing
Audit pilot data, models, and workflows for bias and inclusivity issues. Use when evaluating fairness across demographic groups, identifying algorithmic biases, and recommending mitigation strategies to ensure...
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GitHub
think-ahead
AI thinking partner for strategy and planning. Reads the current work state, analyzes progress, and helps you plan the next phase while the worker instance builds. Triggered by "think ahead".
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GitHub
agent-framework
Build agentic AI solutions using Microsoft Agent Framework (Python). Use when creating AI agents, multi-agent workflows, chatbots, or assistants that need tool calling, streaming, orchestration patterns (sequen...
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GitHub
tooling-strategies
decision matrix for agent tools. Use this to choose between Extensions, Functions, and Data Stores based on security, execution location, and data type.
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GitHub
performance-monitor
自动监控 Claude Code 性能指标，包括操作耗时、失败率、效率评分，并提供语义化洞察
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GitHub
create-subagent
Create custom subagents for specialized AI tasks. Use when the user wants to create a subagent, set up task-specific agents, configure code reviewers, debuggers, or domain-specific assistants with custom prompt...
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GitHub
linebot-notebook-design
LINE Bot Flex Message 筆記樣式設計指南。包含 Flex Message 限制、卡片結構設計、圖片生成規範（matplotlib）、常見錯誤排解。適用於教育類、知識卡片類的 LINE Bot 開發。
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GitHub
recover-quota
LLMのクオータ（利用制限）を管理・節約し、効率的に回復・継続するための戦略を実行する
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GitHub
worktree-swarm
Set up and orchestrate parallel Claude Code agents using git worktrees. Use this skill when the user wants to parallelize a feature across multiple agents, spawn worktrees, or merge agent work back together.
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GitHub
agnostic-prompt-standard
The reference framework to generate, compile, and lint greenfield prompts that conform to the Agnostic Prompt Standard (APS) v1.0.
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GitHub
chinese-responder
确保 Agent 在本项目中的所有回复都使用中文。当用户与 Agent 进行任何对话、代码解释、错误提示、文档说明时，Agent 应始终使用中文进行回复，除非用户明确要求使用其他语言。
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GitHub
python-code
Expert Python code creation and management for the statement-extractor library. Use when creating new Python modules, implementing pipeline plugins, or following project-specific Python patterns. Specializes in...
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GitHub
anythingllm-user-api
協助使用者操作 AnythingLLM API 的基本功能，包括查詢 Workspace、管理 Thread 和進行對話。支援 PowerShell 和 Bash 雙平台。
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GitHub
monad-memory-architecture
MONAD-grounded cognitive architecture for AI memory as morphemic substrate navigation. Memory is not storage but substrate sampling - accessing the same structure that underlies reality. Implements φ-scaling, G...
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GitHub
read-transcript
Search and retrieve context from previous Angainor iteration transcripts. Use when you need detailed context about what happened in a previous iteration beyond what's in progress.txt. Triggers on: read transcri...
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GitHub
claude-agent-sdk
Build production-ready AI agents using Claude Agent SDK (Python). Use when implementing agent workflows, SDK integration, one-shot queries, interactive conversations, custom MCP tools, permission control, CLAUD...
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GitHub
creating-skills
Generates high-quality, predictable, and efficient .agent/skills/ directories based on user requirements. Use when the user wants to create a new skill or modify an existing one.
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GitHub
monad-memory
MONAD-grounded cognitive architecture for AI memory as morphemic substrate navigation. Memory is not storage but substrate sampling - accessing the same structure that underlies reality. Implements φ-scaling, G...
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