对任何主题进行系统调研，自动产出图文并茂的 Markdown 文档（含 Mermaid 结构图 + qwen-image 可视化），保存到认知结构对应维度的知识库，并自动注册到文档分类清单和知识图谱。当用户说「帮我调研/调研一下/系统调研/研究一下/帮我系统了解/深度研究 [主题]」时触发。
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →对任何主题进行系统调研，自动产出图文并茂的 Markdown 文档（含 Mermaid 结构图 + qwen-image 可视化），保存到认知结构对应维度的知识库，并自动注册到文档分类清单和知识图谱。当用户说「帮我调研/调研一下/系统调研/研究一下/帮我系统了解/深度研究 [主题]」时触发。
AI工程师角色。关键词：AI/LLM/智能体/Prompt/上下文工程/多智能体/工作流/RAG/Function Call/效果评测。激活后设计提示词、构建智能体调用链、评测输出质量。
产品经理角色。关键词：产品/需求/用户流/闭环/MVP/产品定义/开发计划/用户动线/功能设计/产品迭代。激活后立即读产品定义.md和开发计划.md，执行沙盘推演关卡A。
全量搜索外部 Skill/Agent/Rule 仓库，必须执行7维度协议，禁止以少于7维度的搜索声称「全量完成」。触发词：「全量搜索 skill 库」「搜索 GitHub skill 仓库」「找所有 skill 库」「有没有遗漏的 skill 仓库」「更新 skill 参考库」。
Most companies can tell you who their competitors are. Very few can tell you why they're winning or losing against them. Even fewer can tell you whether their position is getting stronger or weaker ri
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Configure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags. Use when setting up Claude Code projects that enforce commit quality gates.
Set up a persistent wiki knowledge base on NanoClaw, based on Karpathy's LLM Wiki pattern.
Wire channels to agent groups, manage isolation levels, add new channel groups. Use after adding a channel, during setup, or standalone to reconfigure.
Browser automation for X interactions via WhatsApp.
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
OPC Architecture Understanding
Planning agent that creates implementation plans and handoffs from conversation context
Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents
Create detailed phase plan (PLAN.md) with verification loop
Coordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.
Post project updates to team chat, gather feedback, triage responses, and plan next steps. Adapts to available tools (chat, git, issues, tasks). First run discovers tools and saves a playbook; subsequent runs execute from the playbook. Trigger with 'team update', 'post update', 'sync with team', 'standup', 'check team chat', 'feedback loop', 'project update', 'what did the team say'.
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
Document chunking with multiple strategies including semantic, recursive, and fixed-size chunking
Organizational capability and core competency assessment using strategic frameworks
Agent-based modeling skill for simulating complex adaptive systems with heterogeneous interacting agents
Driver-based budgeting and forecasting skill with rolling forecast support and variance analysis
ASC 606 five-step model implementation skill for revenue recognition analysis and documentation
Advanced econometric modeling for marketing effectiveness and budget optimization
Electric motor and drive unit design and optimization expertise
Deep integration with vehicle dynamics simulation tools for handling, ride, and stability analysis
DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains
Apply LDA, NMF, and other computational methods to discover patterns in large text corpora with appropriate parameter tuning
Design and execute convergent, explanatory sequential, and exploratory sequential mixed methods research designs
Embedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)
Navigation mesh generation and pathfinding skill for game AI. Enables creation and configuration of navigation meshes, pathfinding queries, dynamic obstacles, and navigation agent setup across Unity, Unreal, and Godot engines.
Unity Physics skill for collision detection, rigidbody dynamics, raycasting, and physics configuration.
MkDocs with Material theme expertise for Python-centric documentation. Configure navigation, plugins, multi-language support, PDF export, and advanced Material theme features.
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Planning agent that creates implementation plans and handoffs from conversation context
Friendly onboarding tour of Claude Code capabilities for users asking what it can do.
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The lead orchestrates, Codex agents execute. Each agent gets one focused task. The team lead prevents file conflicts before spawning — the orchestrator IS the lock manager.
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Turn a mature `.agents` corpus into operator-ready knowledge surfaces.
> **Purpose:** Keep a compounding markdown wiki of **external knowledge** (articles, papers, transcripts, clipped web content) maintained by an LLM so the bookkeeping is free and the knowledge accumul
Strategic planning for open source contributions.
Systematic exploration of upstream repositories before contributing.
Plugins can store user-configurable settings and state in `.claude/plugin-name.local.md` files within the project directory. This pattern uses YAML frontmatter for structured configuration and markdow
Autonomous task execution via the codex CLI. Runs non-interactively. Progress streams to stderr; final result on stdout.
Analyze the current codebase and produce a structured threat model at `.turbo/threat-model.md`.