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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。
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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.
Check for and apply updates to installed skill branches from upstream.
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.
Agent Orchestration Rules
Background Agent Pings
OPC Architecture Understanding
Planning agent that creates implementation plans and handoffs from conversation context
Write a clear, empathetic EOL announcement with rationale, customer impact, and next steps. Use when retiring a product, feature, or plan without creating avoidable confusion.
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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.
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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.
Git worktree management for safe, isolated feature development. Creates, manages, and cleans up worktrees with branch naming and dependency setup.
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
Analyze skill gaps and prioritize learning investments across the organization
Advanced econometric modeling for marketing effectiveness and budget optimization
Media interview preparation and crisis simulation tools for executive readiness and spokesperson development
Speaking opportunity discovery and conference management
Bi-directional Salesforce CRM integration for sales data management
Electric motor and drive unit design and optimization expertise
Deep integration with vehicle dynamics simulation tools for handling, ride, and stability analysis
Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains
Machine learning skill for nanomaterial property prediction and discovery acceleration
Causal reasoning implementing DAG construction, do-calculus, and intervention effect estimation
Embedded wireless protocol implementation (LoRa, Zigbee, Thread, Matter)
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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Agent Context Isolation
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
Use this skill when making any factual claim about the codebase — existence, absence, or behavior. Converts the claim-verification rule into a systematic action protocol that prevents false assertions from grep-only results.
Planning agent that creates implementation plans and handoffs from conversation context
Multi-agent coordination, critical path method, dependency DAG, and agent allocation optimization
Friendly onboarding tour of Claude Code capabilities for users asking what it can do.
Validation agent that validates plan tech choices against current best practices
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This override captures the Codex-native execution model for multi-issue epic work.
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.
> **DEPRECATED (removal target: v3.0.0)** — Use `ao lookup --query "topic"` for on-demand learnings retrieval, or see `.agents/AGENTS.md` for knowledge navigation. This skill and the `ao inject` CLI c