GitHub
solving-problems
AI agent applies a 5-phase systematic framework for tackling complex problems when conventional approaches fail. Use when stuck, blocked, or troubleshooting issues.
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tools llm ai AI 技能
发现 tools 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。
分类目录: tools llm ai
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GitHub
managing-databases
AI agent performs database administration tasks including backup/restore, monitoring, replication, security hardening, and maintenance operations. Use when managing production databases, troubleshooting perform...
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GitHub
thinking-sequentially
AI agent structures complex reasoning through numbered thought sequences with explicit dependencies. Use when facing multi-step problems, complex debugging, or architectural decisions.
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GitHub
writing-plans
AI agent creates structured implementation plans with task breakdown, dependency mapping, risk assessment, and file-level detail. Use when planning features, projects, or complex implementations.
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GitHub
training-data
Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.
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GitHub
infographic-creator
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
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GitHub
deck-creator
Create, update, and translate Dify X Reveal.js slide decks in this repo. Use when asked to draft slides, extract outlines, or maintain bilingual CN/EN parity for the ctrip/paypal/pupu/milvus/aispeech/dentsply/o...
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GitHub
deployment-management
Managing LangGraph Cloud deployments through listing, filtering, and cleanup operations. Use when managing test deployments, cleaning up orphaned resources, filtering by name patterns, or handling bulk deletion...
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GitHub
agent-comms
Send messages to other Claude Code sessions via tmux. Hand off complex debugging context, get second opinions, share detailed technical findings across sessions.
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GitHub
alexa-cli
Control Amazon Echo/Alexa devices via the `alexacli` CLI. Use when the user asks to speak/announce on Echo devices, send voice commands to Alexa, control smart home devices, list Alexa devices, or trigger routi...
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GitHub
branch-session
Branch the current Claude Code session into a new tmux session using --resume. Creates a parallel conversation that can diverge independently. Use when you want to explore an alternative approach without losing...
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GitHub
project-spawn
Spawn a new Claude Code session in a project directory with context handoff. This skill should be used when discussion shifts to a different project/repo and the user wants to work on it in a dedicated session....
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GitHub
exploring-knowledge-graph
Guidance for deep knowledge graph traversal across memories, entities, and relationships. Use when needing comprehensive context before planning, investigating connections between concepts, or answering "what d...
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GitHub
mcp-tools-as-code
Convert MCP servers to typed TypeScript APIs for efficient code execution. Reduces token usage by 98%+ by transforming tool calls into programmatic access. Use when building agents that need to interact with mu...
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GitHub
deep-research
Enables automatic deep research mode with comprehensive analysis when trigger phrases are detected
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GitHub
user-memory
Long-term user profile memory that persists across Claude Code sessions
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GitHub
prompt-engineering
Expert guidance for crafting effective LLM prompts using proven techniques like chain-of-thought and few-shot learning
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GitHub
session-start-hook
Configure SessionStart hooks for Claude Code on the web. Use when setting up a repository to run on cloud infrastructure, installing dependencies, or initializing environments for remote Claude Code sessions.
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GitHub
skill-builder
Build proper Claude Skills with correct directory structure, SKILL.md format, YAML frontmatter, and progressive disclosure. Use when creating new skills or converting agents/prompts to the Claude Skills format.
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GitHub
tools
Use when implementing function calling, tool use, or agents with LLMs - unified tool API works across OpenAI, Anthropic, Google, and Ollama with consistent tool definition and execution patterns
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GitHub
streaming
Use when building real-time chat interfaces, displaying incremental LLM responses, or streaming output from OpenAI, Anthropic, Google, or Ollama - async iteration with usage tracking works across all providers
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GitHub
chat
Use when starting a new project with llmring, building an application using LLMs, making basic chat completions, or sending messages to OpenAI, Anthropic, Google, or Ollama - covers lockfile creation (MANDATORY...
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GitHub
structured-output
Use when extracting structured data from LLMs, parsing JSON responses, or enforcing output schemas - unified JSON schema API works across OpenAI, Anthropic, Google, and Ollama with automatic validation and pars...
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GitHub
providers
Use when switching between LLM providers, accessing provider-specific features (Anthropic caching, OpenAI logprobs), or using raw SDK clients - covers multi-provider patterns and direct SDK access for OpenAI, A...
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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。