workflow-design
Design, discover, and refactor multi-command workflows for Claude Code
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Design, discover, and refactor multi-command workflows for Claude Code
Multi-disciplinary strategy council with 5 expert personas. Use for strategic analysis, impact assessment, complex decisions requiring diverse expertise. Includes cross-examination to identify contradictions be...
Lean code implementation pair. Claude (Smith) writes code, Gemini (Temper) reviews for bugs, security, and edge cases. ~2x token cost for high-quality code output.
Tree of Thoughts exploration for brainstorming and finding unknown unknowns. Recursively branches hypotheses, ranking by NOVELTY not probability. Use for idea generation, creative unblocking, exploring possibil...
Adversarial research validation using Red Team/Blue Team methodology. Use when researching complex topics, fact-checking claims, or producing research reports. Validates outputs through Gemini 3 Pro critic befo...
Instructions for selecting and configuring Gemini 3 Pro Preview model in Gemini CLI. Use when the user asks about switching models in Gemini CLI, enabling Gemini 3, or configuring Gemini CLI model settings.
3x3 Parallel Debate system for high-confidence research. Spawns 9 agent instances (3 Proposer/Skeptic/Judge cohorts) to argue, critique, and adjudicate claims. Use for complex queries, controversial topics, or...
Map-Reduce system for comprehensive reports and literature reviews. Breaks topic into chapters, researches each in parallel, then weaves into unified document. Use for deep research, reports, and synthesis.
Three-stage code implementation with planning. Gemini (Engineer) plans, Claude (Caster) implements, Gemini (Inspector) verifies. ~3x token cost for complex, multi-file changes.
Scout swarm for broad domain mapping and edge case discovery. Launches multiple high-temperature agents with distinct search vectors. Use for finding obscure data, edge cases, and mapping new territories.
End-of-session consolidation for AI-ready vaults. Use before ending a work session to capture learnings, store important memories, and preserve context for future sessions. Counterpart to /hydrate.
Load context from an AI-ready vault at session start. Use when beginning a new conversation, starting work on a vault, or when context feels stale. Reads CLAUDE.md, checks recent session logs, loads relevant me...
Analyze an Obsidian vault's AI-readiness with pass/fail checks. Use when assessing a new vault, auditing an existing vault, or verifying setup is complete. Returns a structured report with clear status indicato...
Surface emergent patterns and insights from the AI-ready vault memory system. Use periodically to discover connections between memories, identify recurring themes, and generate meta-insights that aren't obvious...
Search the AI-ready vault memory system by keyword or concept. Use when needing to retrieve previously stored information, find past decisions, or locate relevant context from earlier sessions.
Store a memory in the AI-ready vault memory system. Use when encountering information worth preserving across sessions—decisions made, patterns discovered, facts learned, or significant events. Creates properly...
Initialize the memory system in an AI-ready vault. Creates the folder structure, Memory.md dashboard, and example files needed for cross-session memory persistence. Use when setting up a new vault or adding mem...
Generate a CLAUDE.md file for an Obsidian vault. Analyzes existing vault structure and creates an instruction file that helps AI understand and navigate the vault. Use when setting up a new vault or when CLAUDE...
Combined workflow for starting an AI collaboration session. Runs hydrate, vault-status, and prompts for session focus. Use at the beginning of any work session to load context and orient.
Combined workflow for ending an AI collaboration session. Runs reflect to capture learnings, consolidates memories, and summarizes session work. Use before ending any work session to preserve context.
This skill should be used when the user asks to "create a skill", "write a skill", "build a skill", "author a skill", "improve a skill description", "make my skill better", or needs guidance on skill structure,...
Personalize textbook chapter content for logged-in users based on their background, preferences, and learning style collected during signup.
Manage user signup/signin and collect software/hardware background to enable personalized content in the Physical AI & Humanoid Robotics textbook.
Coordinate all subagents in the Physical AI & Humanoid Robotics textbook project. Assign tasks, validate outputs, and track progress to determine eligibility for extra points and reusable intelligence.
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。