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。
Analyze OpenCode conversation history to identify themes and patterns in user messages. Use when asked to analyze conversations, find themes, review how a user steers agents, or extract insights from session hi...
Build backend AI with Vercel AI SDK v5/v6. Agent abstraction, tool approval, error solutions. Use when: implementing AI SDK v5/v6 or troubleshooting AI errors.
Build React chat interfaces with Vercel AI SDK v5/v6. Agent integration, tool approval, auto-submit. Use when: implementing AI SDK v5/v6 chat UIs or troubleshooting "useChat failed to parse stream", "useChat n...
Guide for creating high-quality Agent Skills following the open standard (agentskills.io). Use this when asked to create or update a skill, write a SKILL.md file, convert custom instructions or chatmodes into p...
Creates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.
Extended reasoning analysis using sequential thinking. Use for deep exploration, comprehensive analysis, complex decisions, or when you need fresh perspectives on difficult problems.
Start a new learning episode in the self-learning memory system with proper context. Use this skill when beginning a new task that should be tracked for learning from execution patterns.
Create new Claude Code skills with proper directory structure, SKILL.md file, and YAML frontmatter. Use this skill when you need to create a new reusable knowledge module for Claude Code.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexi...
Invoke for complex multi-step tasks requiring intelligent planning and multi-agent coordination. Use when tasks need decomposition, dependency mapping, parallel/sequential/swarm/iterative execution strategies,...
Log execution steps during episode execution for detailed tracking and learning. Use when recording tool usage, decision points, errors, or milestones during task execution.
General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. Use when you need to perform comprehensive searches across codebase, find files that are not obvious...
Retrieve relevant episodic context from memory for informed decision-making. Use when you need past episodes, patterns, or solutions to similar tasks.
Generate comprehensive work summaries from daily notes or conversation context. Use for performance reviews, project retrospectives, or documenting completed work with timeline and impact.
Guide for creating new Mastra agents in the Hey Jarvis MCP project. Use this when asked to create a new agent or vertical.
Guide for creating Mastra workflows with agent-as-step and tool-as-step patterns. Use this when creating new workflows or workflow steps.
Guide for creating new Mastra tools in the Hey Jarvis MCP project. Use this when asked to create new tools or API integrations.
Develop and test Flexus bots. Use when working with bot files (*_bot.py, *_prompts.py, *_install.py), flexus_client_kit, or kanban/scheduler systems.
Senior AI product strategist who challenges assumptions and pushes back on flawed ideas. Use this skill when planning features, making product decisions, prioritizing AI capabilities, or evaluating competitive...
Create formal `spec.md` artifacts (Spec-Driven Development).
Unified markdown and OpenCode component specialist providing document quality enforcement (structure, style), content optimization for AI assistants, complete component creation workflows (skills, agents, comma...
Creating and optimizing Claude Code Skills including activation patterns, content structure, and development workflows. Use when creating new skills, converting memory files to skills, debugging skill activatio...
Targeted interview for execution-time clarification. Use when you hit an ambiguity or decision point during implementation that needs user input before proceeding.
基于 RAG 的知识库检索技能。从本地文档中检索相关信息，支持语义搜索和精确匹配。适用于问答、信息查询、文档理解等场景。
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。