Spec-Driven Development (SDD)

A structured methodology for building production-ready software by defining specifications before implementation. Based on GitHub spec-kit.

📦 Prerequisites: This skill requires specify CLI installed in your project. Run specify init to set up spec-kit prompts and agents in your repository.

⚡ Dynamic Prompts: The /speckit.* commands are provided by the specify CLI at runtime, not by this APM skill package. They become available automatically when spec-kit is initialized in your project.

Core Philosophy

Specifications drive implementation, not the other way around.

• Intent-driven development: Define the "what" and "why" before the "how"
• Multi-step refinement: Break down complex features through progressive elaboration
• Executable specifications: Specs directly generate working implementations
• Technology independence: Process works across any tech stack, language, or framework

The Spec-Driven Workflow

Phase 1: Constitution (Project Principles)

Establish non-negotiable principles that govern all development decisions.

Command: /speckit.constitution

What to define:

• Core principles (e.g., "Natural language first", "Test-first & field-validated")
• Architecture & tech stack choices
• Development workflow standards
• Code review checklists
• Governance & amendment process

Example Constitution Elements:

### Core Principle: API First
Ship as web application with RESTful API backend. API endpoints 
designed for composability. Dependencies kept minimal.

**Rationale**: Simplicity enables rapid iteration; API-first design 
ensures accessibility for future integrations.

Best Practices:

• Limit to 3-7 core principles (more = dilution of focus)
• Include rationale for each principle
• Define clear violation consequences
• Version the constitution (semantic versioning)
• Require formal approval for amendments

Phase 2: Specification (Requirements)

Define WHAT you want to build without prescribing HOW to build it.

Command: /speckit.specify

Focus on:

• User scenarios and workflows
• Functional requirements
• Acceptance criteria
• Constraints and non-functional requirements
• Edge cases and failure modes

Example Spec:

Build an application that helps users organize photos in albums.
- Albums are grouped by date and can be reorganized via drag-and-drop
- Albums are never nested inside other albums
- Within each album, photos display in a tile-like interface
- Users can add photos from local storage
- Photos remain on device (no cloud upload)

Avoid:

• Technical implementation details
• Framework/library choices
• Architecture decisions
• Database schema

Optional: Clarification Phase

Command: /speckit.clarify

Run this after specification to identify underspecified areas:

• Ambiguous requirements
• Missing edge cases
• Unstated assumptions
• Conflicting constraints

Phase 3: Planning (Technical Design)

Translate the specification into a technical implementation plan with concrete technology choices.

Command: /speckit.plan

What to include:

• Technology stack (frameworks, libraries, databases)
• Architecture patterns (MVC, microservices, serverless)
• Data models and schemas
• API contracts (endpoints, request/response formats)
• Security considerations
• Performance targets
• Testing strategy

Example Plan:

## Tech Stack
- Frontend: Vite + React + TypeScript
- State: React Context API (no external library)
- Storage: IndexedDB for metadata, File API for images
- Build: Vite with TypeScript strict mode
- Testing: Vitest for unit/integration tests

## Architecture
- Single-page application (SPA)
- Component hierarchy: App → AlbumList → Album → PhotoGrid → Photo
- Local-first: All data persists in browser storage
- No backend required for MVP

## Data Model
Album {
  id: string (UUID)
  name: string
  createdAt: Date
  photos: Photo[]
}

Photo {
  id: string (UUID)
  file: File
  albumId: string
  addedAt: Date
}

Best Practices:

• Reference constitution principles in design decisions
• Document trade-offs explicitly
• Include migration strategies for data/API changes
• Specify testing approach aligned with TDD workflow

Phase 4: Task Breakdown

Command: /speckit.tasks

Generate an actionable, ordered list of implementation tasks.

Task Structure:

1. Setup project scaffolding
   - Initialize Vite + React + TypeScript
   - Configure Vitest for testing
   - Setup ESLint/Prettier

2. Implement Album data model
   - Create Album and Photo TypeScript interfaces
   - Implement IndexedDB storage layer
   - Write unit tests for CRUD operations

3. Build AlbumList component
   - Render list of albums with creation dates
   - Implement drag-and-drop reordering (react-beautiful-dnd)
   - Write component tests with Vitest + Testing Library

Task Characteristics:

• Each task is independently testable
• Tasks ordered by dependency
• Include verification criteria
• Reference constitution compliance

Optional: Analysis Phase

Command: /speckit.analyze

Run before implementation to validate:

• Cross-artifact consistency (spec ↔ plan ↔ tasks)
• Coverage completeness (all spec requirements have tasks)
• Constitution alignment (no violations introduced)
• Missing test tasks

Optional: Quality Checklists

Command: /speckit.checklist

Generate custom validation checklists:

## Requirements Completeness Checklist
- [ ] All user scenarios from spec have corresponding tasks
- [ ] Error handling defined for each user action
- [ ] Accessibility requirements specified (WCAG 2.1 Level AA)
- [ ] Performance targets quantified (page load < 2s)
- [ ] Security review completed (no XSS/CSRF vulnerabilities)

Phase 5: Implementation

Command: /speckit.implement

Execute all tasks to build the feature according to the plan.

Implementation Protocol:

1. Work task-by-task (no skipping or reordering without approval)
2. TDD for each task: Write tests → Run (fail) → Implement → Pass → Refactor
3. Constitution compliance: Verify against principles after each task
4. Progressive commits: Commit after each completed task
5. Audit trail: Log decisions, trade-offs, and deviations

During Implementation:

• Reference constitution when making design choices
• Update spec/plan if requirements change (version changes)
• Run /speckit.analyze if you deviate from plan
• Document technical debt explicitly

Implementation Patterns:

Feature Flags for Experimentation:

// Enable parallel implementation exploration
const USE_OPTIMISTIC_UI = featureFlags.optimisticUI;

if (USE_OPTIMISTIC_UI) {
  // Immediate UI update, background sync
} else {
  // Wait for server confirmation
}

Constitution-Driven Error Handling:

// Constitution Principle: "Graceful degradation"
try {
  await syncToCloud();
} catch (error) {
  logger.warn('Cloud sync failed, using local-only mode', error);
  localStorage.setItem('offline-mode', 'true');
  // Continue operation, don't block user
}

Spec-Driven Development vs. Traditional Approaches

Advanced Workflows

Greenfield Development (0-to-1)

Starting from scratch with no existing codebase.

Workflow:

1. /speckit.constitution → Define project principles
2. /speckit.specify → Describe user scenarios
3. /speckit.clarify → Resolve ambiguities
4. /speckit.plan → Choose tech stack
5. /speckit.analyze → Validate consistency
6. /speckit.tasks → Break down work
7. /speckit.implement → Build feature

Best Practices:

• Start with minimal viable constitution (3-5 principles)
• Keep initial spec focused on core user journey
• Plan for iteration (avoid over-engineering)

Brownfield Enhancement (Iterative)

Adding features to existing projects.

Workflow:

1. Review existing constitution (or create if missing)
2. /speckit.specify → Define new feature requirements
3. /speckit.plan → Integrate with existing architecture
4. /speckit.tasks → Account for migration/compatibility
5. /speckit.implement → Execute incrementally

Considerations:

• Constitution amendments may be needed
• Plan must address backward compatibility
• Tasks include data migration steps
• Integration tests verify no regressions

Parallel Exploration

Exploring multiple implementation approaches simultaneously.

Use Cases:

• Evaluating different tech stacks (React vs. Vue)
• Testing UX patterns (card layout vs. list)
• Performance optimization experiments

Workflow:

1. Create single specification (same requirements)
2. Create multiple plans with different approaches:
   • plan-react.md (React + Vite)
   • plan-vue.md (Vue + Vite)
   • plan-vanilla.md (No framework)
3. Generate separate task lists for each plan
4. Implement in parallel branches (impl-react, impl-vue, impl-vanilla)
5. Compare implementations against constitution metrics
6. Select winner based on objective criteria

Integration with TDD Workflow

Spec-Driven Development complements TDD perfectly:

Example Task with TDD:

### Task: Implement album creation

**Acceptance Criteria**:
- User can create album with name and optional description
- Album appears in album list immediately
- Album persists across page reloads

**TDD Steps**:
1. Write test: `test_create_album_stores_in_indexeddb`
2. Run test (fails - no implementation yet)
3. Implement minimal Album.create() method
4. Run test (passes)
5. Write test: `test_created_album_appears_in_list`
6. Implement UI update logic
7. Refactor for code quality

Environment Variables & Configuration

SPECIFY_FEATURE

Purpose: Override feature detection for non-Git repositories.

Usage:

export SPECIFY_FEATURE="001-photo-albums"

When Needed:

• Working in non-Git repository
• Multiple features in same directory
• Custom project structure

Important: Set in your AI agent context BEFORE running /speckit.plan or subsequent commands.

Tools & Prerequisites

Required Tools

• uv - Python package manager
• Python 3.11+
• Git - Version control
• AI coding agent - Copilot, Cursor, Claude Code, etc.

Installation

One-time persistent install (recommended):

uv tool install specify-cli --from git+https://github.com/github/spec-kit.git

Usage without install:

uvx --from git+https://github.com/github/spec-kit.git specify init <project>

Project Initialization

New project:

specify init my-project --ai copilot

Existing project:

cd existing-project
specify init . --ai claude
# or
specify init --here --ai cursor-agent

System Check

specify check

Verifies:

• Git installation
• AI agent availability (claude, gemini, copilot, cursor, etc.)
• Python environment

Troubleshooting

Common Issues

Issue: /speckit.* commands not recognized

• Solution: Run specify init in project root
• Verify: Check for .github/agents/ or .claude/ directory

Issue: SPECIFY_FEATURE not working

• Solution: Set environment variable IN your AI agent context (not terminal)
• Verify: Ask agent "What is SPECIFY_FEATURE set to?"

Issue: Constitution not followed during implementation

• Solution: Explicitly reference constitution in task descriptions
• Best Practice: Run /speckit.analyze before implementation

Issue: Spec and implementation diverged

• Solution: Update spec first, then re-run /speckit.plan and /speckit.tasks
• Best Practice: Version specs (semantic versioning)

Best Practices Summary

✅ Do

• Start with constitution - Establishes non-negotiable constraints
• Iterate on specs - Use /speckit.clarify to refine requirements
• Validate before implementing - Run /speckit.analyze to catch issues early
• Work task-by-task - Complete each task fully before moving on
• Reference constitution - Explicitly cite principles in decisions
• Version everything - Specs, plans, and constitution use semantic versioning
• Commit frequently - After each completed task
• Update specs when changing implementation - Keep artifacts synchronized

❌ Don't

• Skip constitution - It's the foundation of all decisions
• Mix specification and planning - Keep requirements separate from tech choices
• Implement before planning - Always have a technical design first
• Ignore task order - Dependencies exist for a reason
• Violate constitution without amending - Formal process required
• Let spec and code diverge - Update spec when requirements change

Workflow Cheat Sheet

Starting New Feature (Greenfield):

1. /speckit.constitution  → Project principles
2. /speckit.specify       → Requirements (what/why)
3. /speckit.clarify       → [Optional] Resolve ambiguities
4. /speckit.plan          → Technical design (how)
5. /speckit.analyze       → [Optional] Validate consistency
6. /speckit.tasks         → Actionable task list
7. /speckit.implement     → Execute with TDD

Adding to Existing Project (Brownfield):

1. Review constitution    → Understand constraints
2. /speckit.specify       → New feature requirements
3. /speckit.plan          → Integration with existing system
4. /speckit.tasks         → Include migration tasks
5. /speckit.implement     → Execute with regression tests

Exploring Alternatives (Parallel):

1. /speckit.specify       → Single specification (shared)
2. /speckit.plan (v1)     → Approach A (e.g., React)
3. /speckit.plan (v2)     → Approach B (e.g., Vue)
4. /speckit.tasks (each)  → Parallel task lists
5. Implement in branches  → Compare against constitution metrics

Resources

• Official Repo: https://github.com/github/spec-kit
• Documentation: https://github.github.io/spec-kit/
• Methodology Deep Dive: https://github.com/github/spec-kit/blob/main/spec-driven.md
• Video Overview: https://www.youtube.com/watch?v=a9eR1xsfvHg

Quick Reference

Available Commands

Note: These commands are provided by the specify CLI (installed via specify init), not by this APM skill package. They become available at runtime when spec-kit is set up in your project.

Prompts Included in This Skill

Integration: This skill provides instructions and best practices for using spec-kit. The spec-kit prompts themselves are installed by the specify CLI into .github/agents/ or .claude/ directories.

License: MIT (GitHub spec-kit)
Maintained By: GitHub (Den Delimarsky, John Lam)
Skill Version: 1.0.0