ralph-tui-create-beads▌
subsy/ralph-tui · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Convert PRDs to beads (epic + child tasks) for ralph-tui autonomous execution.
- ›Extracts quality gates from PRD and appends them to every bead's acceptance criteria, ensuring consistent validation across all stories
- ›Creates an epic with right-sized child beads, where each story is completable in a single ralph-tui iteration without context overflow
- ›Establishes dependencies between beads using bd dep add to enforce correct execution order: schema → backend → UI → integration
- ›Outputs
Ralph TUI - Create Beads
Converts PRDs to beads (epic + child tasks) for ralph-tui autonomous execution.
Note: This skill is bundled with ralph-tui's Beads tracker plugin. Future tracker plugins (Linear, GitHub Issues, etc.) will bundle their own task creation skills.
The Job
Take a PRD (markdown file or text) and create beads in .beads/beads.jsonl:
- Extract Quality Gates from the PRD's "Quality Gates" section
- Create an epic bead for the feature
- Create child beads for each user story (with quality gates appended)
- Set up dependencies between beads (schema → backend → UI)
- Output ready for
ralph-tui run --tracker beads
Step 1: Extract Quality Gates
Look for the "Quality Gates" section in the PRD:
## Quality Gates
These commands must pass for every user story:
- `pnpm typecheck` - Type checking
- `pnpm lint` - Linting
For UI stories, also include:
- Verify in browser using dev-browser skill
Extract:
- Universal gates: Commands that apply to ALL stories (e.g.,
pnpm typecheck) - UI gates: Commands that apply only to UI stories (e.g., browser verification)
If no Quality Gates section exists: Ask the user what commands should pass, or use a sensible default like npm run typecheck.
Output Format
Beads use bd create command with HEREDOC syntax to safely handle special characters:
# Create epic (link back to source PRD)
bd create --type=epic \
--title="[Feature Name]" \
--description="$(cat <<'EOF'
[Feature description from PRD]
EOF
)" \
--external-ref="prd:./tasks/feature-name-prd.md"
# Create child bead (with quality gates in acceptance criteria)
bd create \
--parent=EPIC_ID \
--title="[Story Title]" \
--description="$(cat <<'EOF'
[Story description with acceptance criteria INCLUDING quality gates]
EOF
)" \
--priority=[1-4]
CRITICAL: Always use
<<'EOF'(single-quoted) for the HEREDOC delimiter. This prevents shell interpretation of backticks,$variables, and()in descriptions.
Story Size: The #1 Rule
Each story must be completable in ONE ralph-tui iteration (~one agent context window).
ralph-tui spawns a fresh agent instance per iteration with no memory of previous work. If a story is too big, the agent runs out of context before finishing.
Right-sized stories:
- Add a database column + migration
- Add a UI component to an existing page
- Update a server action with new logic
- Add a filter dropdown to a list
Too big (split these):
- "Build the entire dashboard" → Split into: schema, queries, UI components, filters
- "Add authentication" → Split into: schema, middleware, login UI, session handling
- "Refactor the API" → Split into one story per endpoint or pattern
Rule of thumb: If you can't describe the change in 2-3 sentences, it's too big.
Story Ordering: Dependencies First
Stories execute in dependency order. Earlier stories must not depend on later ones.
Correct order:
- Schema/database changes (migrations)
- Server actions / backend logic
- UI components that use the backend
- Dashboard/summary views that aggregate data
Wrong order:
- ❌ UI component (depends on schema that doesn't exist yet)
- ❌ Schema change
Dependencies with bd dep add
Use the bd dep add command to specify which beads must complete first:
# Create the beads first
bd create --parent=epic-123 --title="US-001: Add schema" ...
bd create --parent=epic-123 --title="US-002: Create API" ...
bd create --parent=epic-123 --title="US-003: Build UI" ...
# Then add dependencies (issue depends-on blocker)
bd dep add ralph-tui-002 ralph-tui-001 # US-002 depends on US-001
bd dep add ralph-tui-003 ralph-tui-002 # US-003 depends on US-002
Syntax: bd dep add <issue> <depends-on> — the issue depends on (is blocked by) depends-on.
ralph-tui will:
- Show blocked beads as "blocked" until dependencies complete
- Never select a bead for execution while its dependencies are open
- Include dependency context in the prompt when working on a bead
Correct dependency order:
- Schema/database changes (no dependencies)
- Backend logic (depends on schema)
- UI components (depends on backend)
- Integration/polish (depends on UI)
Acceptance Criteria: Quality Gates + Story-Specific
Each bead's description should include acceptance criteria with:
- Story-specific criteria from the PRD (what this story accomplishes)
- Quality gates from the PRD's Quality Gates section (appended at the end)
Good criteria (verifiable):
- "Add
investorTypecolumn to investor table with default 'cold'" - "Filter dropdown has options: All, Cold, Friend"
- "Clicking toggle shows confirmation dialog"
Bad criteria (vague):
- ❌ "Works correctly"
- ❌ "User can do X easily"
- ❌ "Good UX"
- ❌ "Handles edge cases"
Conversion Rules
- Extract Quality Gates from PRD first
- Each user story → one bead
- First story: No dependencies (creates foundation)
- Subsequent stories: Depend on their predecessors (UI depends on backend, etc.)
- Priority: Based on dependency order, then document order (0=critical, 2=medium, 4=backlog)
- All stories:
status: "open" - Acceptance criteria: Story criteria + quality gates appended
- UI stories: Also append UI-specific gates (browser verification)
Splitting Large PRDs
If a PRD has big features, split them:
Original:
"Add friends outreach track with different messaging"
Split into:
- US-001: Add investorType field to database
- US-002: Add type toggle to investor list UI
- US-003: Create friend-specific phase progression logic
- US-004: Create friend message templates
- US-005: Wire up task generation for friends
- US-006: Add filter by type
- US-007: Update new investor form
- US-008: Update dashboard counts
Each is one focused change that can be completed and verified independently.
Example
Input PRD:
# PRD: Friends Outreach
Add ability to mark investors as "friends" for warm outreach.
## Quality Gates
These commands must pass for every user story:
- `pnpm typecheck` - Type checking
- `pnpm lint` - Linting
For UI stories, also include:
- Verify in browser using dev-browser skill
## User Stories
### US-001: Add investorType field to investor table
**Description:** As a developer, I need to categorize investors as 'cold' or 'friend'.
**Acceptance Criteria:**
- [ ] Add investorType column: 'cold' | 'friend' (default 'cold')
- [ ] Generate and run migration successfully
### US-002: Add type toggle to investor list rows
**Description:** As Ryan, I want to toggle investor type directly from the list.
**Acceptance Criteria:**
- [ ] Each row has Cold | Friend toggle
- [ ] Switching shows confirmation dialog
- [ ] On confirm: updates type in database
### US-003: Filter investors by type
**Description:** As Ryan, I want to filter the list to see just friends or cold.
**Acceptance Criteria:**
- [ ] Filter dropdown: All | Cold | Friend
- [ ] Filter persists in URL params
Output beads:
# Create epic (link back to source PRD)
bd create --type=epic \
--title="Friends Outreach Track" \
--description="$(cat <<'EOF'
Warm outreach for deck feedback
EOF
)" \
--external-ref="prd:./tasks/friends-outreach-prd.md"
# US-001: No deps (first - creates schema)
bd create --parent=ralph-tui-abc \
--title="US-001: Add investorType field to investor table" \
--description="$(cat <<'EOF'
As a developer, I need to categorize investors as 'cold' or 'friend'.
## Acceptance Criteria
- [ ] Add investorType column: 'cold' | 'friend' (default 'cold')
- [ ] Generate and run migration successfully
- [ ] pnpm typecheck passes
- [ ] pnpm lint passes
EOF
)" \
--priority=1
# US-002: UI story (gets browser verification too)
bd create --parent=ralph-tui-abc \
--title="US-002: Add type toggle to investor list rows" \
--description="$(cat <<'EOF'
As Ryan, I want to toggle investor type directly from the list.
## Acceptance Criteria
- [ ] Each row has Cold | Friend toggle
- [ ] Switching shows confirmation dialog
- [ ] On confirm: updates type in database
- [ ] pnpm typecheck passes
- [ ] pnpm lint passes
- [ ] Verify in browser using dev-browser skill
EOF
)" \
--priority=2
# Add dependency: US-002 depends on US-001
bd dep add ralph-tui-002 ralph-tui-001
# US-003: UI story
bd create --parent=ralph-tuiHow to use ralph-tui-create-beads on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ralph-tui-create-beads
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ralph-tui-create-beads from GitHub repository subsy/ralph-tui and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ralph-tui-create-beads. Access the skill through slash commands (e.g., /ralph-tui-create-beads) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★72 reviews- ★★★★★Ava Kim· Dec 20, 2024
I recommend ralph-tui-create-beads for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Arya Kim· Dec 16, 2024
Solid pick for teams standardizing on skills: ralph-tui-create-beads is focused, and the summary matches what you get after install.
- ★★★★★Ava Abbas· Dec 12, 2024
ralph-tui-create-beads reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Dev Desai· Dec 12, 2024
Keeps context tight: ralph-tui-create-beads is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chaitanya Patil· Dec 8, 2024
ralph-tui-create-beads has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Piyush G· Nov 27, 2024
ralph-tui-create-beads reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Anika Verma· Nov 19, 2024
Useful defaults in ralph-tui-create-beads — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hana Flores· Nov 11, 2024
Solid pick for teams standardizing on skills: ralph-tui-create-beads is focused, and the summary matches what you get after install.
- ★★★★★Chinedu Malhotra· Nov 7, 2024
Registry listing for ralph-tui-create-beads matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Noah Huang· Nov 7, 2024
I recommend ralph-tui-create-beads for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
showing 1-10 of 72