Execute an autonomous development loop that picks one task per iteration, implements it, verifies it, and commits the result — each iteration in a fresh context window. Use when user runs /ralph, mentions "ralph loop", "autonomous loop", "builder verifier", "run tasks automatically", "iterate on tasks", "develop autonomously", or wants an automated build-verify-commit cycle with task tracking.
ドメイン要件と業界標準フレームワークに基づき、対象エージェント用のSkills群（SKILL.md/assets/evaluation/questions）を設計・生成する。「Skills作成」「ワークフロー群生成」「機能実装」を依頼されたときに使用する。
Create Product Requirements Document (PRD) and setup for Ralph autonomous loop. Use when user runs /create-prd command, wants to set up a project for Ralph, mentions "ralph setup", "create prd", "product requirements", or needs to generate tasks for autonomous development.
Use when working with the WordPress Abilities API (wp_register_ability, wp_register_ability_category, /wp-json/wp-abilities/v1/*, @wordpress/abilities) including defining abilities, categories, meta, REST exposure, and permissions checks for clients.
Comprehensive inter-agent messaging and coordination system providing protocol-based communication, shared context management, event broadcasting with subscriptions, automated handoff documentation, and message persistence. This skill enables agents to coordinate work, share decisions, negotiate contracts, and maintain consistent state across distributed parallel execution environments.
Generates interactive 3D HTML visualization of the session-local occupancy grid. Opens in browser.
Guide for working within git worktrees in the Orient monorepo. Use this skill when you detect you're working in a worktree (path contains "skill-worktrees", "app-worktrees", or is outside the main project directory), when asked to "set up worktree", "install dependencies in worktree", "build in worktree", "merge worktree", or when troubleshooting worktree-specific issues. Covers pnpm/turbo commands, environment setup, git workflows (merging, conflict resolution, cleanup), and common worktree pitfalls.
Layer 4 Learning and Pattern Extraction for Cognitive Surrogate Systems
Analyze student git activity, lab submissions, and project work for software engineering courses. Use when asked to "update student analysis", "check student activity", "analyze the class", or when working with student rosters and git repositories. Handles inconsistencies in student behavior like multiple usernames, name variations, and missing data.
Use when the user asks to implement a new feature, enhancement, add functionality, build something new, or create new capabilities. Triggers on keywords like "implement", "add feature", "build", "create new", "develop", "enhancement".
工欲善其事必先利其器
Use when the user asks to debug, diagnose, fix a bug, troubleshoot errors, investigate issues, or pastes error messages/stack traces. Triggers on keywords like "bug", "error", "fix", "not working", "broken", "debug", "stack trace", "exception", "crash", "issue".
Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.
Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error investigation, fix bug, resolve issue, error analysis, stack trace Use when: User requests involve bug hunter tasks.
Use when the user provides an implementation plan file and asks to analyze it, assess impact, update specifications, or verify planned changes. Triggers on keywords like "analyze plan", "implementation plan", "assess impact", "update spec from plan", "verify plan".
Start and interact with the Dataset Analysis Tool (dataviewer) for browsing, annotating, and exporting robotic training episodes
Multi-perspective AI consultation. Invoke with /tzurot-council-mcp for major refactors (>500 lines), structured debugging after failed attempts, or when a technical decision has multiple viable approaches.
Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.
Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.