sdd

This skill should be used when users want guidance on Spec-Driven Development methodology using GitHub's Spec-Kit. Guide users through executable specification workflows for both new projects (greenfield) and existing codebases (brownfield). After any SDD command generates artifacts, automatically provide structured 10-point summaries with feature status tracking, enabling natural language feature management and keeping users engaged throughout the process.

40 stars
Complexity: easy

About this skill

This skill provides comprehensive guidance on Spec-Driven Development (SDD), an AI-native methodology that leverages GitHub's Spec-Kit to transform traditional software development. It helps users define the 'what' of a project through rich, executable specifications, leading to the direct generation of working implementations rather than just documentation. The process involves multi-step refinement, not one-shot code generation, and is built on intent-driven development. Key use cases include initiating new (greenfield) projects from scratch and enhancing or modernizing existing (brownfield) codebases. For brownfield projects, it assists with adding new features, reverse engineering, codebase analysis, and iterative enhancements to legacy systems. After any SDD command generates artifacts, the skill automatically provides structured 10-point summaries with feature status tracking, facilitating natural language feature management and keeping users engaged. By adopting this skill, developers can streamline their workflow, ensure closer alignment between specifications and code, and gain a powerful tool for managing project scope and progress. It enables a more structured, AI-assisted approach to defining requirements, generating initial code structures, and tracking development milestones.

Best use case

The primary use case is to empower developers and teams to adopt Spec-Driven Development (SDD) for building new software or enhancing existing systems. It's particularly beneficial for those seeking a structured, AI-assisted approach to defining requirements, generating code artifacts, and managing feature progress, especially when working with complex or legacy codebases or aiming for AI-native development practices.

This skill should be used when users want guidance on Spec-Driven Development methodology using GitHub's Spec-Kit. Guide users through executable specification workflows for both new projects (greenfield) and existing codebases (brownfield). After any SDD command generates artifacts, automatically provide structured 10-point summaries with feature status tracking, enabling natural language feature management and keeping users engaged throughout the process.

Users will receive guided instructions, generated development artifacts based on executable specifications, and automated 10-point summaries tracking feature status and progress.

Practical example

Example input

Guide me through setting up Spec-Driven Development for a new e-commerce project using GitHub Spec-Kit, focusing on user authentication.

Example output

Okay, let's initialize your project for SDD. First, we'll use `specify init` to create the basic structure. What are the core intents for your e-commerce user authentication module? (Followed by initial artifact generation and a 10-point summary: 1. User Login - Pending, 2. Registration - Pending, 3. Password Reset - Pending...)

When to use this skill

  • When starting a new software project and wanting to adopt a specification-first, intent-driven development methodology.
  • When adding new features, modernizing, or reverse-engineering an existing, complex, or legacy codebase.
  • When you need structured guidance on implementing GitHub's Spec-Kit and creating executable specifications.
  • For AI-native development workflows requiring automated feature tracking, structured summaries, and natural language project management.

When not to use this skill

  • For general programming tasks unrelated to specification-driven development or project initiation/modernization.
  • If you prefer a purely manual or ad-hoc development process without formal, executable specifications.
  • When your project does not involve code generation from specifications or detailed feature tracking.
  • For tasks requiring deep debugging or direct code implementation without prior specification.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/sdd/SKILL.md --create-dirs "https://raw.githubusercontent.com/SpillwaveSolutions/agent_rulez/main/.claude/skills/sdd/skill.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/sdd/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How sdd Compares

Feature / AgentsddStandard Approach
Platform SupportClaudeLimited / Varies
Context Awareness High Baseline
Installation ComplexityeasyN/A

Frequently Asked Questions

What does this skill do?

This skill should be used when users want guidance on Spec-Driven Development methodology using GitHub's Spec-Kit. Guide users through executable specification workflows for both new projects (greenfield) and existing codebases (brownfield). After any SDD command generates artifacts, automatically provide structured 10-point summaries with feature status tracking, enabling natural language feature management and keeping users engaged throughout the process.

Which AI agents support this skill?

This skill is designed for Claude.

How difficult is it to install?

The installation complexity is rated as easy. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Spec-Driven Development (SDD) Skill

Guide users through GitHub's Spec-Kit for Spec-Driven Development - a methodology that flips traditional software development by making specifications executable and directly generating working implementations.

## Core Philosophy

Spec-Driven Development emphasizes:
- **Intent-driven development**: Define the "what" before the "how"
- **Rich specification creation**: Use guardrails and organizational principles
- **Multi-step refinement**: Not one-shot code generation
- **AI-native**: Heavy reliance on advanced AI capabilities

Remember: This is **AI-native development**. Specifications aren't just documentation - they're executable artifacts that directly drive implementation. The AI agent uses them to generate working code that matches the intent defined in the specs.

## Quick Decision Tree

### Is this a new project (greenfield)?
→ **See [Greenfield Workflow](references/greenfield.md)** for the complete 6-step process

### Is this an existing codebase (brownfield)?
→ **See [Brownfield Workflow](references/brownfield.md)** for reverse-engineering and integration guidance

### Need installation help?
→ **See [Installation Guide](references/sdd_install.md)** for setup and troubleshooting

## Installation Quick Start

**Recommended (Persistent):**
```bash
uv tool install specify-cli --from git+https://github.com/github/spec-kit.git
```

**One-time Usage:**
```bash
uvx --from git+https://github.com/github/spec-kit.git specify init <PROJECT_NAME>
```

**Verify:**
```bash
specify check
```

For detailed installation options, troubleshooting, and environment variables, see [Installation Guide](references/sdd_install.md).

## Supported AI Agents

Works with:
- ✅ Claude Code
- ✅ GitHub Copilot
- ✅ Gemini CLI
- ✅ Cursor
- ✅ Qwen Code
- ✅ opencode
- ✅ Windsurf
- ✅ Kilo Code
- ✅ Auggie CLI
- ✅ CodeBuddy CLI
- ✅ Roo Code
- ✅ Codex CLI
- ✅ Amp
- ⚠️ Amazon Q Developer CLI (doesn't support custom arguments for slash commands)

## Artifact Summarization and Feedback Loop

**CRITICAL WORKFLOW**: After any SDD command generates or modifies artifacts, automatically follow this feedback loop to keep the user engaged:

### After Each Command Completes

1. **Detect Artifact Changes**
   - Identify which artifacts were created or modified:
     - `constitution.md` (project principles)
     - `spec.md` (requirements specification)
     - `plan.md` (technical implementation plan)
     - `tasks.md` (actionable task breakdown)
     - Analysis reports from brownfield workflows

2. **Read and Summarize**
   - Read the relevant artifact(s)
   - Extract key information:
     - **For constitution.md**: Core principles, coding standards, constraints
     - **For spec.md**: Main requirements, user stories, success criteria
     - **For plan.md**: Tech stack choices, architecture decisions, milestones
     - **For tasks.md**: Number of tasks, major task categories, dependencies
     - **For analysis reports**: Current patterns, tech debt, integration points

3. **Present Structured Summary** (Use 10-Point Template Below)
   - Show what was generated and why
   - Highlight the most important decisions with rationale
   - Include quality indicators and watch-outs
   - Keep summary focused and actionable
   - Use clear headings for each section

4. **Include Feature Status** (Hybrid Approach)
   - Brief status line in every summary
   - Detailed status on demand with `/speckit.status`
   - See "Feature Status Tracking" section below

5. **Offer Feedback Options**
   - **Option A**: "Looks good, proceed to next step"
   - **Option B**: "I'd like to modify [specific section]"
   - **Option C**: "Regenerate with these changes: [user input]"
   - **Option D**: "Explain why [specific decision] was made"

### 10-Point Summary Template

Use this structured format after ANY SDD command completes:

```
## ✅ [Command Name] Completed - Here's What Just Happened

### 🎯 Key Decisions Made (Top 3)
1. [Decision] - **Rationale:** [Why this was chosen]
2. [Decision] - **Rationale:** [Why this was chosen]
3. [Decision] - **Rationale:** [Why this was chosen]

### 📋 What Was Generated
- [Artifact 1]: [Brief description of content]
- [Artifact 2]: [Brief description of content]

### 🔍 Important Items to Review (Top 3)
1. [Critical item to check and why it matters]
2. [Important detail to verify and potential impact]
3. [Edge case to consider and how it affects the design]

### ⚠️ Watch Out For (Top 2)
- [Potential issue or gotcha] - **How to avoid:** [Guidance]
- [Common mistake] - **How to avoid:** [Guidance]

### 🔄 What This Enables Next (2 Options)
- **Option 1:** [Next step] - Best if: [Condition]
- **Option 2:** [Alternative step] - Best if: [Condition]

📊 **Feature Status:** [Current Feature Name] ([Stage]) → Next: [Next Feature]
   Progress: [●●●○○] [X]% | Completed: [N] of [Total] features | Dependencies: [Status]

**Your options:** [A] Proceed [B] Modify [C] Explain more [D] Show full status
```

### Example: Enhanced Summarization After \`/speckit.specify\`

\`\`\`
## ✅ Specify Completed - Here's What Just Happened

### 🎯 Key Decisions Made
1. **Authentication: JWT tokens** - Rationale: Stateless architecture, horizontally scalable, industry standard
2. **Password requirements: 12+ characters with complexity** - Rationale: Balances security (NIST guidelines) with usability
3. **Session timeout: 24 hours** - Rationale: Standard for web apps, balances security vs user convenience

### 📋 What Was Generated
- \`.speckit/features/user-auth/specify.md\`: Complete requirements with 5 user stories, 8 success criteria, 3 edge cases

### 🔍 Important Items to Review
1. **Password reset flow** - Verify email requirements match your infrastructure (SMTP server, templates)
2. **Multi-factor authentication** - Currently marked as "future enhancement"; may need to be in MVP
3. **Rate limiting** - Set at 5 login attempts per 15 min; consider if this fits your security policy

### ⚠️ Watch Out For
- **Email service dependency not specified** - How to avoid: Add email service to plan.md dependencies
- **GDPR compliance for user data** - How to avoid: Review data retention and user deletion requirements

### 🔄 What This Enables Next
- **Option 1:** Run \`/speckit.plan\` to design technical implementation - Best if: Requirements look good
- **Option 2:** Modify specify.md - Best if: You need to adjust requirements or add features

📊 **Feature Status:** user-authentication (Specified) → Next: profile-management
   Progress: [●●○○○] 40% | Completed: 1 of 5 features | Dependencies: database-setup ✅

**Your options:** [A] Proceed to planning [B] Modify requirements [C] Explain JWT choice [D] Show full status
\`\`\`

### When to Skip Summarization

Only skip the summarization step when:
- User explicitly requests "skip summaries" or "run all steps automatically"
- Re-running a command without artifact changes
- Command fails or produces errors (troubleshoot instead)

### Benefits of This Workflow

- **Eliminates "black box" feeling**: Clear explanations of what was generated and why
- **Enables early feedback**: Catch misunderstandings before implementation
- **Maintains agility**: Quick review with structured format, not lengthy approval processes
- **Builds trust**: User sees the AI's reasoning and decisions with rationale
- **Provides context**: Feature status keeps users oriented in the overall project

## Feature Status Tracking

### Hybrid Approach

After every SDD command, include a **brief feature status line** in the summary. Provide **detailed status on demand** with `/speckit.status`.

### Brief Status Line Format

Include this at the end of every summary:

```
📊 **Feature Status:** [Current Feature Name] ([Stage]) → Next: [Next Feature Name]
   Progress: [●●●○○] [X]% | Completed: [N] of [Total] features | Dependencies: [Dep] ✅/⏸️
```

**Stage values:**
- `Specifying` (20% complete)
- `Planning` (40% complete)
- `Tasking` (60% complete)
- `In Progress` (80% complete)
- `Complete` (100% complete)

**Progress indicator:**
- Use filled circles (●) for completed stages
- Use empty circles (○) for pending stages
- Calculate percentage based on stage

### Detailed Status Dashboard

When user requests full status (option D) or runs `/speckit.status`, show:

```
📊 Project Feature Status Dashboard

🎯 CURRENT FEATURE
├─ [feature-name] ([Stage] - [X]% complete)
│  ├─ ✅ Requirements specified
│  ├─ 🔄 Implementation plan in progress
│  ├─ ⏸️  Tasks not started
│  └─ ⏸️  Implementation not started
│  Blockers: [None | Description]
│  Dependencies: [feature-name] ✅

✅ COMPLETED FEATURES ([N])
├─ [feature-1] (100% complete)
└─ [feature-2] (100% complete)

📋 UPCOMING FEATURES ([N])
├─ [feature-3] (depends on: [current-feature])
└─ [feature-4] (depends on: [feature-3])

⚠️  BLOCKED FEATURES ([N])
[List any features that are blocked with reasons]
```

### Natural Language Feature Management

Claude should automatically detect and handle natural language feature management requests:

**User says:** "Move feature XYZ before ABC"
**Claude does:**
1. Reads current feature list from `.speckit/features/`
2. Shows current order with numbers
3. Proposes new order
4. Asks for confirmation
5. Updates feature priority/order in constitution or plan
6. Shows updated status dashboard

**User says:** "Add a new feature for email notifications"
**Claude does:**
1. Detects new feature request
2. Asks clarifying questions (priority, dependencies, description)
3. Generates feature spec outline
4. Inserts into feature list at appropriate position
5. Shows updated status dashboard

**User says:** "Let's do profile-management first"
**Claude does:**
1. Identifies current feature order
2. Proposes moving profile-management to top priority
3. Adjusts dependencies if needed
4. Updates artifacts
5. Shows updated status

**Detection patterns:**
- "Move [feature] before/after [other]" → Reorder
- "Add [feature]" → New feature
- "Let's do [feature] first" → Move to top priority
- "Skip [feature] for now" → Mark as deferred
- "We finished [feature]" → Update status to complete
- "What features depend on [feature]?" → Show dependency tree
- "Show feature status" → Display full dashboard

### Quick Feature Operations

Guide users through these operations when requested:

**Add Feature:**
```
User: "Add a feature for admin dashboard"
Claude:
1. What's the priority? (High/Medium/Low)
2. What features does this depend on? (user-auth, profile-management, etc.)
3. Brief description?
[Creates outline, shows updated status]
```

**Reorder Features:**
```
User: "Reorder features"
Claude:
Current order:
1. user-authentication
2. profile-management
3. admin-dashboard
4. email-notifications
5. reporting

How would you like to reorder? (provide new numbers or describe changes)
[Updates order, shows new status]
```

**Remove Feature:**
```
User: "Remove the reporting feature"
Claude:
⚠️  Warning: This will remove 'reporting' feature.
Dependencies affected: None
Are you sure? (yes/no)
[If yes: removes, updates status]
```

### Progress Calculation

Automatically calculate progress based on SDD workflow completion:

| Stage | Progress | Indicators |
|-------|----------|------------|
| **Specified** | 20% | `specify.md` exists |
| **Planned** | 40% | `plan.md` exists |
| **Tasked** | 60% | `tasks.md` exists |
| **In Progress** | 80% | Implementation started (code files modified) |
| **Complete** | 100% | Implementation complete, tests pass |

### Dependency Tracking

Track and visualize dependencies:

**Show dependencies:**
```
user-authentication
├─ Depends on: database-setup ✅
└─ Blocks: profile-management ⏸️, admin-dashboard ⏸️
```

**Check if ready:**
```
📊 Can we start profile-management?
   Checking dependencies...
   ✅ user-authentication (complete)
   ✅ database-setup (complete)

   All dependencies satisfied! Ready to proceed.
```

**Detect circular dependencies:**
```
⚠️  Warning: Circular dependency detected
   feature-A depends on feature-B
   feature-B depends on feature-C
   feature-C depends on feature-A

   Please resolve this before proceeding.
```

### Integration with Workflows

**For Greenfield Projects:**
- After `/speckit.specify`, ask if there are multiple features
- If yes, list them and track progress through each
- Show status after each command

**For Brownfield Projects:**
- After `/speckit.reverse-engineer`, create feature list from discovered functionality
- Track new features separately from existing documented features
- Show integration impact on status

For complete feature management guidance, see [Feature Management Guide](references/feature_management.md).

## How to Use This Skill

### When User Asks About SDD

1. Explain core philosophy: Executable specifications, intent-driven, AI-native
2. Verify prerequisites: \`uv\`, Python 3.11+, Git, AI agent
3. Determine project type: New (greenfield) vs existing (brownfield)
4. Guide to appropriate workflow:
   - Greenfield → [Greenfield Workflow](references/greenfield.md)
   - Brownfield → [Brownfield Workflow](references/brownfield.md)

### When User Wants to Start a New Project

1. Guide installation → [Installation Guide](references/sdd_install.md)
2. Initialize project:
   \`\`\`bash
   specify init my-project --ai claude
   \`\`\`
3. Follow greenfield workflow → [Greenfield Workflow](references/greenfield.md)
4. **After each step**: Summarize artifacts and get user feedback

### When User Has an Existing Codebase

1. Check for \`.speckit/\` directory
2. **If missing** → Guide through [Brownfield Workflow](references/brownfield.md):
   - Analyze existing code
   - Generate constitution from existing patterns
   - Choose artifact generation strategy
   - Add new features with SDD
3. **If present** → Determine next step based on current progress
4. **After each step**: Summarize artifacts and get user feedback

### When User Wants to Add a Feature

**To greenfield project:**
1. Navigate to [Greenfield Workflow](references/greenfield.md)
2. Follow steps 3-6 (specify → plan → tasks → implement)
3. Summarize each artifact before proceeding

**To brownfield/existing project:**
1. Navigate to [Brownfield Workflow](references/brownfield.md)
2. Follow steps 6-7 (specify → integration planning → tasks → implement)
3. Summarize each artifact before proceeding

### When User Encounters Issues

1. **Installation issues** → [Installation Guide](references/sdd_install.md) troubleshooting section
2. **Workflow issues** → Check appropriate workflow guide:
   - [Greenfield troubleshooting](references/greenfield.md)
   - [Brownfield troubleshooting](references/brownfield.md)
3. **Feature detection** → Set \`SPECIFY_FEATURE\` environment variable (see [Installation Guide](references/sdd_install.md))

## Workflow Overview

### Greenfield (New Projects)

\`\`\`
specify init → /speckit.constitution → [SUMMARIZE] →
/speckit.specify → [SUMMARIZE] → /speckit.plan → [SUMMARIZE] →
/speckit.tasks → [SUMMARIZE] → /speckit.implement
\`\`\`

**Full details:** [Greenfield Workflow](references/greenfield.md)

### Brownfield (Existing Projects)

\`\`\`
specify init --here → /speckit.brownfield → [SUMMARIZE] →
/speckit.analyze-codebase → [SUMMARIZE] →
/speckit.reverse-engineer → [SUMMARIZE] → /speckit.specify → [SUMMARIZE] →
/speckit.integration-plan → [SUMMARIZE] → /speckit.tasks → [SUMMARIZE] →
/speckit.implement
\`\`\`

**Full details:** [Brownfield Workflow](references/brownfield.md)

## Development Phases Supported

### 0-to-1 Development ("Greenfield")
Start with high-level requirements, generate specifications from scratch, plan implementation steps, build production-ready applications.

**→ [Greenfield Workflow](references/greenfield.md)**

### Iterative Enhancement ("Brownfield")
Add features iteratively to existing codebases, modernize legacy systems, adapt processes for evolving requirements, reverse-engineer existing code into SDD format.

**→ [Brownfield Workflow](references/brownfield.md)**

### Creative Exploration
Explore diverse solutions in parallel, support multiple technology stacks & architectures, experiment with UX patterns.

**→ [Greenfield Workflow](references/greenfield.md) - Multi-Stack Exploration section**

## Key Commands Reference

### Installation & Setup
\`\`\`bash
specify init <project>              # New project
specify init --here --force         # Existing project
specify check                       # Verify installation
\`\`\`

### Greenfield Workflow
\`\`\`
/speckit.constitution               # Project principles → SUMMARIZE
/speckit.specify                    # Define requirements → SUMMARIZE
/speckit.plan                       # Technical planning → SUMMARIZE
/speckit.tasks                      # Break down tasks → SUMMARIZE
/speckit.implement                  # Execute
\`\`\`

### Brownfield Workflow
\`\`\`
/speckit.brownfield                 # Analyze existing code → SUMMARIZE
/speckit.analyze-codebase          # Deep analysis & constitution → SUMMARIZE
/speckit.reverse-engineer          # Document existing features → SUMMARIZE
/speckit.integration-plan          # Plan new feature integration → SUMMARIZE
\`\`\`

### Optional Enhancement Commands
\`\`\`
/speckit.clarify                   # Clarify ambiguous requirements
/speckit.analyze                   # Cross-artifact consistency check
/speckit.checklist                 # Generate quality checklists
\`\`\`

## Analysis Scripts

The SDD skill includes analysis scripts for deep quality validation and progress tracking:

### \`scripts/phase_summary.sh\`
Generates a comprehensive progress report across all phases in a tasks.md file:
- Shows completion percentage for each phase
- Lists pending tasks per phase
- Highlights simplified/modified tasks
- Provides overall progress statistics
- Supports any SDD feature's tasks.md file

**Usage:**
\`\`\`bash
~/.claude/skills/sdd/scripts/phase_summary.sh specs/003-keyboard-shortcuts/tasks.md
\`\`\`

**Output:** Markdown-formatted phase-by-phase progress report with:
- Phase-by-phase completion percentages
- Pending task lists (up to 5 per phase)
- Simplified task warnings
- Overall feature progress summary

**When to Use:**
- Check progress on any SDD feature
- Get quick overview of what's complete vs pending
- Identify phases that need attention
- Generate status reports for stakeholders

### \`scripts/analyze-requirements.py\`
Analyzes requirement coverage across spec.md and tasks.md:
- Maps functional requirements (FR-001, FR-002, etc.) to implementation tasks
- Identifies uncovered requirements (gaps in task coverage)
- Flags vague requirements lacking measurable criteria
- Calculates coverage percentage

**Usage:**
\`\`\`bash
python3 ~/.claude/skills/sdd/scripts/analyze-requirements.py
\`\`\`

**Output:** JSON with coverage metrics, uncovered requirements, vague requirements

### \`scripts/analyze-success-criteria.py\`
Analyzes success criteria verification coverage:
- Maps success criteria (SC-001, SC-002, etc.) to verification tasks
- Validates measurability of each criterion
- Identifies criteria without verification tasks
- Groups by metric type (performance, accessibility, usability)

**Usage:**
\`\`\`bash
python3 ~/.claude/skills/sdd/scripts/analyze-success-criteria.py
\`\`\`

**Output:** JSON with coverage summary, verification task mapping

### \`scripts/analyze-edge-cases.py\`
Analyzes edge case coverage across specifications:
- Maps edge cases to explicit task coverage
- Identifies implicitly covered cases (handled by general logic)
- Flags uncovered edge cases requiring attention
- Categorizes coverage type (EXPLICIT, IMPLICIT, UNCOVERED)

**Usage:**
\`\`\`bash
python3 ~/.claude/skills/sdd/scripts/analyze-edge-cases.py
\`\`\`

**Output:** JSON with coverage breakdown, uncovered edge case details

**When to Use:**
These scripts are automatically invoked during \`/speckit.analyze\` to provide deep consistency validation. They help identify:
- Requirements without task coverage
- Success criteria without verification
- Edge cases that need test coverage
- Ambiguous requirements needing clarification

### Validation Commands (Brownfield)
\`\`\`
/speckit.validate-reverse-engineering  # Verify spec accuracy
/speckit.coverage-check                # Check documentation coverage
/speckit.validate-constitution         # Verify constitution consistency
/speckit.trace [feature]               # Map specs to code
\`\`\`

## Detailed Documentation

- **[Installation Guide](references/sdd_install.md)**: Installation methods, troubleshooting, environment variables
- **[Greenfield Workflow](references/greenfield.md)**: Complete 6-step workflow for new projects
- **[Brownfield Workflow](references/brownfield.md)**: Complete 7-step workflow for existing codebases

## Integration with Other Skills

This skill works well with:
- **project-memory**: Document SDD decisions and patterns
- **design-doc-mermaid**: Visualize architecture from plan.md
- **github-workflows**: Automate SDD artifact validation
- **code-quality-reviewer**: Review generated implementation

## Resources

- GitHub Spec-Kit Repository: https://github.com/github/spec-kit
- Issues/Support: https://github.com/github/spec-kit/issues
- License: MIT

## Maintainers

- Den Delimarsky (@localden)
- John Lam (@jflam)

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97
from AytuncYildizli/reprompter

Transform messy prompts into structured, effective prompts — single, multi-agent, or reverse-engineered from great outputs. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags, "reprompter teams", "repromptverse", "run with quality", "smart run", "smart agents", "campaign swarm", "engineering swarm", "ops swarm", "research swarm", multi-agent tasks, audits, parallel work, "reverse reprompt", "reprompt from example", "learn from this", "extract prompt from", "prompt dna", "prompt genome", reverse-engineering prompts from exemplar outputs. Don't use for simple Q&A, pure chat, or immediate execution-only tasks (see "Don't Use When" section). Outputs: structured XML/Markdown prompt, before/after quality score, optional team brief + per-agent sub-prompts, Agent Cards, Extraction Card (reverse mode). Target quality score: Single ≥ 7/10; Repromptverse per-agent ≥ 8/10; Reverse ≥ 7/10.

Workflow & ProductivityClaudeCodex

session-pack

89
from ten-builder/ten-builder

세션 종료 시 Memory, Handoff를 자동 정리. /pack

Workflow & ProductivityClaude

execute

51
from vinzenz/prd-breakdown-execute

Main entry point for hierarchical task execution. Orchestrates layer-by-layer implementation of PRD tasks with parallel worktree execution.

Workflow & ProductivityClaude

textum

43
from snakeying/Textum

Textum PRD→Scaffold→Story workflow for Codex with low-noise outputs and gate checks.

Workflow & ProductivityClaude

nonstop

40
from andylizf/nonstop

Enables an autonomous work mode for AI agents, allowing continuous operation without user interruption. It includes a pre-flight risk assessment and intelligent blocker handling to maximize productivity.

Workflow & ProductivityClaude

superbuild

36
from asteroid-belt/skulto

Use when executing implementation plans phase-by-phase with strict enforcement of quality gates, tests, and Definition of Done. Triggers on "build this plan", "execute plan", "implement phases", or when user provides a plan document to execute.

Workflow & ProductivityClaude