ワンクリックで
sh-help
List all 34 Shepherd commands organized by category
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
List all 34 Shepherd commands organized by category
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | sh-help |
| description | List all 34 Shepherd commands organized by category |
Print the following command reference exactly:
| Command | Description |
|---|---|
/sh:triage | Triage INBOX items into BACKLOG with priority and categorization |
/sh:brainstorm | Divergent ideation session — generate and explore possibilities |
/sh:spec-review | Single-reviewer specification quality check with pass/fail |
/sh:workflow | Move BACKLOG items through Ideation > Refining > Ready pipeline |
/sh:kickoff | Restore session context and resume work from handoff state |
| Command | Description |
|---|---|
/sh:autopilot | Autonomous execution loop — read task, execute, commit, repeat |
/sh:loop | Generic iteration loop with configurable exit conditions |
/sh:dor | Definition of Ready — validate task meets entry criteria |
/sh:dod | Definition of Done — validate deliverable meets quality gate |
/sh:retro | Retrospective — reflect on completed work and capture learnings |
/sh:handoff | Save full session context for cross-session persistence |
| Command | Description |
|---|---|
/sh:plan | Create implementation plan with tasks, dependencies, and estimates |
/sh:execute | Execute a planned task with verification and quality checks |
/sh:tdd | Test-driven development — red/green/refactor cycle |
/sh:verify | Run verification suite and report pass/fail status |
/sh:review | Code review with actionable feedback and severity ratings |
superpowers:finishing-a-development-branch | Finalize deliverable — commit, update docs, move to DONE |
/sh:worktree | Manage git worktrees for parallel development branches |
/sh:parallel | Execute independent tasks concurrently across worktrees |
| Command | Description |
|---|---|
/sh:analyze | Deep analysis of code, architecture, or system behavior |
/sh:debug | Systematic debugging with hypothesis testing and root cause analysis |
/sh:troubleshoot | Guided troubleshooting for infrastructure and environment issues |
/sh:research | Research a topic with source evaluation and synthesis |
/sh:explain | Explain code, concept, or architecture with appropriate depth |
/sh:estimate | Estimate effort, complexity, and risk for a task or feature |
/sh:test | Generate or run test suites with coverage analysis |
/sh:document | Generate documentation from code or specifications |
/sh:index-repo | Index repository structure for fast context retrieval |
/sh:select-tool | Recommend the best tool or approach for a given problem |
| Command | Description |
|---|---|
/sh:ux-design | Build clickable wireframe prototypes in code — validate flow before hi-fi |
| Command | Description |
|---|---|
/sh:spec-panel | Multi-expert specification review with scoring gate >= 7.0 |
/sh:business-panel | Multi-expert business analysis with advisory recommendations |
| Command | Description |
|---|---|
/sh:ralph | Start persistent Ralph loop for iterative task completion |
/sh:cancel | Cancel active Ralph loop and report iteration count |
| Command | Description |
|---|---|
/sh:help | List all Shepherd commands (this output) |
Shepherd v2.0 — AgentFlow + Superpowers + SuperClaude + Ralph Loop
Multi-expert AI/ML specification review with scoring gate — model architecture, evaluation rigor, safety/alignment, and production readiness for AI systems and LLM apps
Multi-expert architecture review — boundaries, integration patterns, failure modes, evolvability
Multi-expert business analysis with advisory recommendations (no scoring gate)
Multi-expert intelligence pipeline review — discovery quality, ingestion resilience, scoring validity, platform compliance, taxonomy coherence, cost efficiency
Multi-expert mobile/native app specification review with scoring gate — Android, iOS, Swift, SwiftUI
Multi-expert personal-development review with scoring gate — learnability, adoption, human-centeredness, and capability impact for talent/learning/AI-augmentation designs