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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devops llm ai AI 技能
发现 devops 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
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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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
dppm-orchestration
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
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GitHub
llm-models-reference
Reference guide for LLM model IDs, capabilities, pricing, and provider endpoints. Use when selecting a model, comparing provider capabilities, or validating model IDs for {{PROJECT_NAME}}.
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GitHub
skillset-smoke-test
Run and evaluate the Skillset smoke test (aliases, sets, and skill invocation) and interpret its JSON reports. Use this when validating $skill/$set behavior or checking Claude Code/Codex headless runs.
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GitHub
0g-teeml
0G TeeMLプライバシー保護AI推論の知識。「0G」「TeeML」「プライバシー」「AI推論」で使用。
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GitHub
reflect
Analyze the conversation for corrections, approvals, and patterns. Update project skills with learned preferences. Use this when the user says "reflect" or after sessions with explicit feedback/corrections. Aut...
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GitHub
claude-context
Carga el archivo CLAUDE_PROMPT.md como contexto para aplicar las instrucciones y mejores prácticas del proyecto. Úsalo cuando el usuario quiera aplicar las guías personalizadas, principios de trabajo, o cuando...
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GitHub
claude-skill-sync
Copy or sync Claude skills from ~/.claude/skills into ~/.codex/skills so they are available in Codex. Use when asked to import, migrate, copy, or sync Claude skills, or when moving skills between Claude and Cod...
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GitHub
subagents
Guide for using Claude Code subagents effectively. Use when deciding whether to delegate a task to a subagent or handle it directly.
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GitHub
skill-creator
Create new Claude Agent Skills following best practices. Use when user wants to create, scaffold, or update a skill package with proper progressive disclosure structure.
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GitHub
diagram-gen
Generate architecture, sequence, state, and ERD diagrams for code understanding. Use when user wants to visualize code structure or document systems.
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GitHub
skill-feedback
Capture task outcomes and patterns after completing work. Use after /verify or when a task succeeds/fails to enable adaptive skill evolution.
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GitHub
improve-prompt
Analyzes prompts and produces improved versions using Anthropic's prompt engineering best practices. Use when asked to improve, optimize, or review a prompt. Works with standalone prompts or prompts embedded in...
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GitHub
implement-axon
Guide on how to implement Synapse Axons (clients). Covers Smart Axons (interactive) and Raw Axons (reporting only) using MQTT or HTTP. Use this skill when the user asks how to create a new service, sidecar, or...
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GitHub
ink-cli
Build terminal CLI apps using Ink (React for CLIs). This skill should be used when the user wants to create command-line interfaces with React components, terminal UIs, interactive CLI tools, or needs help with...
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GitHub
agent-manager
Automatically manage agent lifecycle, proposals, and registry.
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GitHub
plan-task-architectural
Use when the user asks for a plan or the task is complex/ambiguous. Enforces AGENTS.md workflow and encourages loading other relevant skills.
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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。