智能体
Agent 规划、多步流程与编排
Jira Issue Triage and Routing
markus41
This skill should be used when the user asks to "triage issue", "classify ticket", "route jira", "analyze priority", "categorize issue", "determine complexity", "route to agents", or needs guidance on classifying, prioritizing, and routing Jira issues to appropriate agents and workflows.
hierarchical-decomposition
markus41
Breaks large initiatives into orchestrator -> manager -> specialist execution trees.
broad-index-etf-analysis
belos-street
"分析宽基指数ETF投资策略，提供宽基ETF对比分析、估值分析、投资时机判断。当用户询问宽基ETF、A500、沪深300、中证500投资时调用此技能。"
thematic-stock-picker
belos-street
"主题选股技能，适用于赛道投资、产业链机会挖掘和概念股筛选。系统拆解市场交易逻辑，筛选真正受益标的，给出估值和交易建议。Invoke when user asks about thematic investment, sector opportunities, or finding stocks related to specific themes like AI or new energy."
bond-yield-analysis
belos-street
"系统化债券市场利率走势分析框架，支持交易/策略/配置三种视角，生成利率走势判断与债券交易/配置策略。Invoke when user asks about bond market analysis, interest rate trends, or fixed income allocation."
hai-razor
hylarucoder
Audits whether each requirement, workflow step, role, field, state, module, layer, abstraction, or rule deserves to exist and returns a razor verdict: an evidence table, a Keep/Merge/Defer/Delete/Replace/Prove-first classification of every concept, the strongest survival argument for anything cut, the complexity that must be preserved, a concrete cut/proof list, and — for full audits — before/after Mermaid diagrams plus an HTML report. Use whenever the user wants to apply Occam's razor, simplify or trim a PRD / architecture / workflow / data model / state machine, challenge whether something is necessary, or spot fake requirements, premature abstractions, or over-engineering — even if they never say "razor." Trigger on 用奥卡姆剃刀, 剃刀一下, 砍需求, 砍掉没用的东西, 收一收复杂度, 这个字段/状态/模块/分层有必要吗, 这个抽象是不是多余, 是不是伪需求, 是不是过度设计, 这步能不能去掉, 这些角色/状态是不是太多了, and English like "is this over-engineered", "do we really need this layer", "this feels bloated, what can we delete", "too many fields".
pydantic-ai-tool-system
existential-birds
Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.
langgraph-architecture
existential-birds
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
pydantic-ai-agent-creation
existential-birds
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.
agent-teams
travisjneuman
Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns
deepagents-implementation
existential-birds
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
deepagents-code-review
existential-birds
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
pydantic-ai-model-integration
existential-birds
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.
deepagents-architecture
existential-birds
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
pydantic-ai-dependency-injection
existential-birds
Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.
reclaude
brianlovin
Refactor CLAUDE.md files to follow progressive disclosure principles. Use when CLAUDE.md is too long or disorganized.
🕸 协同编排秘典
telagod
☠️ 一键为 Claude Code / Codex CLI 注入邪修人格与 40+ 安全工程秘典 npx code-abyss
plot-workflow
GongLingRui
编排和协调大情节点与详细情节点的一键生成工作流。适用于长篇故事的结构化分析、需要模块化智能体协作的复杂任务
drama-workflow
GongLingRui
协调情节点戏剧功能分析流程，管理文本预处理、并行分析、结果整合。适用于长文本的情节点和戏剧功能分析、需要结构化分析报告的场景
mastra
mastra-ai
"Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this skill for all Mastra development to ensure you're using current APIs from the installed version or latest documentation."
resume-jd-optimizer-cn
coinluu
基于目标岗位 JD、中文简历和用户确认的真实经历，完成中国大陆求职场景下的 JD 解析、证据映射、缺口诊断、素材追问、定制简历重写、ATS/HR/面试官审查及投递沟通材料生成。用于应届、社招、转行及互联网、AI、产品、运营、销售、技术、数据、设计等岗位；当用户要求针对 JD 优化中文简历、提高匹配度、生成 Boss 直聘或猎头话术、检查面试自洽性时使用。
Google ADK Python Skill
mrgoonie
Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.
langchain-agents
LangConfig
"Expert guidance for building LangChain agents with proper tool binding, memory, and configuration. Use when creating agents, configuring models, or setting up tool integrations in LangConfig."
asset-allocation-rebalancing
belos-street
"提供资产配置优化建议、再平衡时机判断、再平衡操作策略。当用户询问资产配置、投资组合再平衡、仓位管理时调用此技能。"