Agent skill

prd-check

Run PRD validation to check story quality, test coverage, and structure.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/prd-check

SKILL.md

PRD Check

Run PRD validation on demand to check story quality, test coverage, and structure before starting the autonomous loop. Cross-references against learned lessons and past failure patterns.

Instructions

When the user runs /prd-check, validate their PRD file.

Step 1: Check PRD Exists

bash
ls -la .ralph/prd.json 2>/dev/null || echo "NOT_FOUND"

If no PRD exists, tell the user:

No PRD found at .ralph/prd.json. Generate one first with /prd.

STOP if no PRD found.

Step 2: Load Project Knowledge

Read the project's accumulated knowledge:

  1. Read lessons:

    bash
    cat .ralph/lessons.json 2>/dev/null
    
  2. Read suggested lessons (last 50 lines — file can be huge):

    bash
    tail -50 .ralph/suggested-lessons.txt 2>/dev/null
    
  3. Read recent progress for failure patterns:

    bash
    tail -100 .ralph/progress.txt 2>/dev/null
    

Step 3: Run Structural Validation (dry-run)

bash
npx ralph prd-check --dry-run 2>&1

Present any structural issues found.

Step 4: Cross-Reference Against Lessons

Read .ralph/prd.json and for each story, check if any lesson applies:

  • Backend lessons → check against backend stories
  • Frontend lessons → check against frontend stories
  • General lessons → check against all stories

For each applicable lesson, verify the story's acceptanceCriteria, constraints, notes, or testSteps reflect the pattern. Flag stories that should account for a lesson but don't.

Examples:

  • Lesson: "Always use bcrypt cost 10+ for passwords" → Flag auth stories missing bcrypt in acceptanceCriteria
  • Lesson: "Use date-fns instead of moment.js" → Flag frontend stories that create date utilities without this constraint
  • Lesson: "Add data-testid for Playwright selectors" → Flag frontend stories missing this in constraints

Step 5: Check Against Suggested Learnings

Scan suggested-lessons.txt for patterns relevant to the current PRD's feature area. Flag any recurring failure patterns that the PRD's stories don't address.

Step 6: Present Results

Summarize all findings in categories:

Structural Issues (from prd-check):

  • [list]

Lesson Conflicts (stories that don't account for known patterns):

  • TASK-003: Missing lesson "bcrypt cost 10+" in auth story
  • TASK-005: Missing lesson "data-testid attributes" in frontend story

Suggested Improvements (from past learnings):

  • [relevant patterns from suggested-lessons.txt]

Ask: "Would you like me to fix these issues in the PRD?"

STOP and wait for user response.

If yes, update .ralph/prd.json:

  • Add missing lesson patterns to relevant story constraints or acceptanceCriteria
  • Fix structural issues per PRD best practices
  • Write the fixed file back

Notes

  • This is the same structural validation that runs automatically at ralph run startup
  • --dry-run skips auto-fix so you have control over what changes
  • Custom checks in .ralph/checks/prd/ are also evaluated
  • Lessons cross-referencing catches patterns that structural validation can't
  • Run this before ralph run to catch and fix issues interactively

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