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。
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, rou...
Generate images using Google's Nano-Banana (Gemini 2.5 Flash Image) model. Use when the user asks to generate, create, or make an image, picture, or illustration.
Create realistic long-form AI talking head/UGC videos that don't look AI-generated. Use when user wants to make "realistic AI video", "UGC video", "talking head video", "AI spokesperson", "AI ad content", "vide...
Use when creating or reviewing technical documentation. Provides guidelines for natural, readable Japanese writing without AI-generated artifacts. Triggers: (1) creating technical documents or READMEs, (2) proo...
Use when creating or editing Claude Code skills, agents (subagents), or slash commands. Provides complete YAML frontmatter property reference.
Use when delegating tasks to Gemini. Two execution modes: (1) CLI mode (default): Subagent runs gemini CLI iteratively until task complete. Progress visible, suitable for large investigations. (2) MCP mode: Dir...
Capture workflow usage data for spec-kit optimization. Auto-activates when: (1) completing a spec-kit workflow (/speckit.review, final commit), (2) encountering friction or confusion during workflows, (3) user...
Apply reinforcement learning principles when working on spec-kit-extensions. Auto-activates when: (1) editing command prompts in commands/*.md, (2) modifying workflow templates in extensions/workflows/, (3) dis...
Self-learning capability for agents. Captures execution traces, extracts insights, and adapts agent behavior. Use after completing complex tasks, when agents encounter recurring issues, or to optimize workflows...
Core trading insights learned from Agent Arena competition. Use when making any trading decision to apply institutional knowledge.
When it would yield better results to explore mulitple approaches to a problem, load this skill to orchestrate multiple agents using a diverge and converge strategy.
When orchestrating tasks, load this core skill first to understand the general methodology.
A meta-skill to guide the creation of new agent skills
Plan and write WrongoDB devlog posts in this repo. Use when asked to plan, outline, draft, or revise posts under blog/, generate blog images, or follow the series structure for WrongoDB. This skill embeds the c...
This skill should be used when the user asks about "adding a tool", "FunctionTool", "creating tools", "MCP integration", "OpenAPI tools", "built-in tools", "google_search tool", "code_execution tool", "long-run...
Workflow patterns for multi-agent systems across frameworks. Directs to RAG for implementation.
Workflow patterns and gotchas for LangGraph. Directs to RAG for implementation.
This skill should be used when the user asks about "callbacks", "lifecycle hooks", "before_model_call", "after_tool_call", "plugins", "session state", "state management", "artifacts", "file uploads", "events",...
Workflow patterns and gotchas for Anthropic/Claude agents. Directs to RAG for implementation.
This skill should be used when the user asks about "creating a new ADK project", "initializing ADK", "setting up Google ADK", "adk create command", "ADK project structure", "YAML agent configuration", "creating...
Workflow patterns and gotchas for OpenAI Agents SDK. Directs to RAG for implementation.
This skill should be used when the user asks about "deploying", "production", "Agent Engine", "Vertex AI", "Cloud Run", "GKE", "Kubernetes", "hosting", "scaling", "guardrails", "safety", "content filtering", "i...
This skill should be used when the user asks about "multi-agent systems", "sub-agents", "delegation", "agent routing", "orchestration", "SequentialAgent", "ParallelAgent", "LoopAgent", "agent-to-agent", "A2A pr...
Systematic debugging workflow for all agentic frameworks. Directs to RAG for solutions.
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。