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decision-skill
Use when making architectural or business logic decisions during conversations - adds entry to DECISIONS.md
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content media llm ai AI 技能
发现 content media llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
memory-keeper
Persistent context/memory management MCP server. Stores and retrieves context across AI sessions.
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GitHub
epistemic-extraction
An epistemic extraction system that analyzes text to identify its logical structure according to Aristotelian and Objectivist epistemology. Your task is to extract concepts, propositions, and arguments from pro...
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GitHub
brave-search
Structured Brave Search web queries and summarizer workflows for MCP-style agents.
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GitHub
aiclimenu
Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.
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GitHub
recall
Search and analyze past Claude Code and Codex sessions. Use when user asks about past sessions, tool usage patterns, bash command history, permission suggestions, or wants to find previous work.
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GitHub
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing...
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GitHub
prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt tem...
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GitHub
mcp-builder
Create high-quality MCP servers for LLM tool integration.
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GitHub
embedding-strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
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GitHub
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs...
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GitHub
langchain-architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
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GitHub
terminal-title
Automatically updates terminal window title to reflect the current high-level task. Use at the start of every Claude Code session when the user provides their first prompt, and whenever the user switches to a d...
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GitHub
human
Help the human team lead review and respond to pending asks from agents. Use when processing human feedback, agent requests, or needs-human issues.
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GitHub
ui-skills
Opinionated constraints for building better interfaces with agents.
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GitHub
resume
This skill should be used when the user asks to "resume work", "continue where we left off", "what were we working on", "pick up from last session", or starts a session wanting context from previous work.
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GitHub
remember
This skill should be used when the user asks to "remember this", "save for later", "store this information", "persist this context", or wants to explicitly save important information for future sessions.
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GitHub
using-engram
This skill should be used when the user asks about "engram memory", "how to use memory tools", "semantic search in Claude", "persist context across sessions", "remember things for later", or needs guidance on u...
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GitHub
master
Charter Agent Framework 主入口 Skill。当用户提到项目、需求、代码、测试、审查、集成等相关意图时自动触发。智能路由到正确的 Workflow 或 Subagent。
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GitHub
gcp-deploy
Skill for deploying and managing agents on Google Cloud Platform, specifically Vertex AI Reasoning Engine.
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GitHub
save-doc
Save markdown document to AgentNote knowledge base. Use when user wants to save, store, or archive formatted content, notes, or articles.
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GitHub
communication-protocol
Enforces the user's strict communication and operational rules regarding language, confirmation, and tool usage.
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GitHub
memory-contract
Unified Memory Contract for Project Memory integration. Defines when and how to retrieve and store memory using local files.
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GitHub
training-apo-agents
Train LangChain/LangGraph agents using Microsoft Agent-Lightning APO (Automatic Prompt Optimization). Use when user mentions APO training, prompt optimization, agent-lightning, training multi-agent systems, tra...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。