cfircoo

ralph-orchestrator

Orchestrates the full Ralph autonomous agent pipeline from requirements gathering to execution. Use when building new features, platforms, or complex tasks that need structured development through spec-interview, PRD generation, and autonomous implementation.

cfircoo 17 1 Updated 4mo ago

Resources

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Install

npx skillscat add cfircoo/claude-code-toolkit/ralph-orchestrator

Install via the SkillsCat registry.

SKILL.md
Orchestrate the complete Ralph pipeline for autonomous feature development:
  1. spec-interview → Gather comprehensive requirements through guided discovery
  2. generate-prd → Create actionable Product Requirements Document
  3. ralph-convert-prd → Transform PRD into atomic user stories (prd.json)
  4. ralph.sh → Execute autonomous implementation loop

This skill coordinates these tools while keeping you in control at decision points.

**NEVER implement user stories yourself.** The orchestrator's ONLY job is to: 1. Run spec-interview, generate-prd, ralph-convert-prd skills 2. Launch `ralph.sh` to execute stories

ALL code implementation MUST happen through ralph.sh — the bash script that spawns fresh Claude instances. You are the orchestrator, NOT the implementer. Do not write code, create files, modify source files, or make any project changes directly. Only ralph.sh iterations do that.

If you catch yourself about to write code or modify project files: STOP. Launch ralph.sh instead.

**STOP and ask the user for instructions** whenever: - ralph.sh exits with non-zero code (exit 1 = max iterations, exit 2 = blocked) - A pre-execution check fails (invalid prd.json, missing files, dirty git state) - Any unexpected error occurs during the pipeline - You are unsure about any decision

Do NOT try to fix issues yourself, retry automatically, or continue past errors. Present the error clearly to the user and wait for their instructions.

Ralph spawns fresh Claude instances for each story. Memory persists only through: - Git history (committed code) - tasks/progress.txt (learnings between iterations) - tasks/prd.json (story status tracking)

Never assume Ralph "remembers" previous iterations.

Each user story MUST be completable in ONE context window.

Right-sized:

  • Add a database column
  • Create a UI component
  • Update a server action
  • Implement a filter

Too large (will fail):

  • Build entire dashboard
  • Add authentication system
  • Refactor entire API
Every story must be verified with **real runtime checks** — not just that it compiles.
  • API stories: curl endpoints with real data, check response codes and bodies
  • UI stories: Playwright e2e tests that navigate and interact with real UI
  • Database stories: Run migrations, query DB directly to confirm schema
  • Infra stories: Health checks, config validation, service startup

Static checks (typecheck, lint) are baseline. Runtime validation is required.

All checks must pass before Ralph commits: - Story-specific verification commands pass (real runtime checks) - **Full test suite passes** (unit + integration + e2e) — no regressions allowed - TypeCheck passes - UI verified via Playwright (for frontend stories)

After each story, Ralph runs ALL existing tests (via testCommands in prd.json root) to catch regressions. A story is NOT done until the entire test suite passes. Broken code compounds across iterations — never skip quality checks.

Stories use structured status tracking: - `"pending"` → not started - `"in_progress"` → being worked on this iteration - `"done"` → verified and committed - `"failed"` → attempted but verification failed - `"blocked"` → dependencies not met

Stories track attempts / maxAttempts to prevent infinite retries on broken stories.

You approve at each stage: 1. After spec-interview → Review SPEC.md 2. After generate-prd → Review PRD 3. After ralph-convert-prd → Review prd.json stories 4. Before ralph.sh → Confirm ready to execute

Don't rush. Bad requirements = wasted iterations.

</essential_principles> ```json { "project": "[Project Name]", "branchName": "ralph/[feature-name-kebab-case]", "description": "[Feature description]", "testCommands": { "unit": "npm test", "integration": "npm run test:integration", "e2e": "npx playwright test", "typecheck": "npm run typecheck" }, "userStories": [ { "id": "US-001", "title": "[Story title]", "description": "As a [user], I want [feature] so that [benefit]", "storyType": "backend | frontend | database | api | infra | test", "acceptanceCriteria": ["Specific criterion 1", "Typecheck passes"], "verificationCommands": [ { "command": "npm run typecheck", "expect": "exit_code:0" }, { "command": "curl -s http://localhost:3000/api/...", "expect": "contains:expected" } ], "status": "pending", "priority": 1, "attempts": 0, "maxAttempts": 3, "notes": "", "blockedBy": [], "docsToUpdate": ["README.md", "docs/api.md"], "completedAt": null, "lastAttemptLog": "" } ] } ```

Expect matchers for verificationCommands:

  • exit_code:0 — command exits with code 0
  • exit_code:N — command exits with specific code N
  • contains:STRING — stdout contains STRING
  • not_empty — stdout is non-empty
  • matches:REGEX — stdout matches regex pattern</prd_json_schema>
What would you like to do?
  1. Full pipeline - Start from scratch (spec → PRD → prd.json → execute)
  2. Continue from PRD - Already have PRD, convert and execute
  3. Execute only - Already have prd.json, run Ralph
  4. Check status - View current prd.json progress

Wait for response before proceeding.

| Response | Workflow | |----------|----------| | 1, "full", "start", "new feature" | `workflows/full-pipeline.md` | | 2, "continue", "have PRD", "convert" | `workflows/from-prd.md` | | 3, "execute", "run ralph", "have prd.json" | `workflows/execute-only.md` | | 4, "status", "check", "progress" | `workflows/check-status.md` |

After reading the workflow, follow it exactly.

Key Files:

File Purpose
SPEC.md Comprehensive requirements from spec-interview
tasks/prd-*.md Product Requirements Document
tasks/prd.json Atomic user stories for Ralph
tasks/progress.txt Learnings between iterations
tasks/test-log.md Registry of all tests created per story
tasks/review-notes.md Ideas, edge cases, and suggestions after each story
tasks/ralph.log Live log of Ralph execution (tail -f to monitor)
scripts/ralph.sh Ralph execution script (in this skill folder)
scripts/prompt.md Iteration prompt template

Commands:

# Run Ralph from your project directory
~/projects/claude-code-toolkit/skills/ralph-orchestrator/scripts/ralph.sh

# Or create an alias in ~/.bashrc:
alias ralph='~/projects/claude-code-toolkit/skills/ralph-orchestrator/scripts/ralph.sh'

# Run with custom iteration limit
ralph 5

# Monitor Ralph in real-time (while running in background)
tail -f tasks/ralph.log

# Check story status (new schema)
cat tasks/prd.json | jq '.userStories[] | {id, title, status, attempts}'

# View learnings
cat tasks/progress.txt
</quick_reference> | Workflow | Purpose | |----------|---------| | full-pipeline.md | Complete flow: spec → PRD → prd.json → execute | | from-prd.md | Convert existing PRD and execute | | execute-only.md | Run Ralph on existing prd.json | | check-status.md | View current progress | </workflows_index> Pipeline is complete when: - [ ] Requirements gathered through spec-interview (including verification environment) - [ ] PRD created with verifiable acceptance criteria - [ ] prd.json has atomic stories with storyType, verificationCommands, and blockedBy - [ ] All stories have `status: "done"` in prd.json - [ ] All verification commands passed (real runtime checks, not just typecheck) - [ ] Code committed and quality checks passing </success_criteria>