spec-driven-development

OWNER/REPO · updated May 23, 2026

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$npx skills add https://github.com/addyosmani/agent-skills --skill spec-driven-development
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summary

Creates specs before coding to clarify requirements and ensure successful project execution.

skill.md
name
spec-driven-development
description
Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea.

Spec-Driven Development

Overview

Write a structured specification before writing any code. The spec is the shared source of truth between you and the human engineer — it defines what we're building, why, and how we'll know it's done. Code without a spec is guessing.

When to Use

  • Starting a new project or feature
  • Requirements are ambiguous or incomplete
  • The change touches multiple files or modules
  • You're about to make an architectural decision
  • The task would take more than 30 minutes to implement

When NOT to use: Single-line fixes, typo corrections, or changes where requirements are unambiguous and self-contained.

The Gated Workflow

Spec-driven development has four phases. Do not advance to the next phase until the current one is validated.

SPECIFY ──→ PLAN ──→ TASKS ──→ IMPLEMENT
   │          │        │          │
   ▼          ▼        ▼          ▼
 Human      Human    Human      Human
 reviews    reviews  reviews    reviews

Phase 1: Specify

Start with a high-level vision. Ask the human clarifying questions until requirements are concrete.

Surface assumptions immediately. Before writing any spec content, list what you're assuming:

ASSUMPTIONS I'M MAKING:
1. This is a web application (not native mobile)
2. Authentication uses session-based cookies (not JWT)
3. The database is PostgreSQL (based on existing Prisma schema)
4. We're targeting modern browsers only (no IE11)
→ Correct me now or I'll proceed with these.

Don't silently fill in ambiguous requirements. The spec's entire purpose is to surface misunderstandings before code gets written — assumptions are the most dangerous form of misunderstanding.

Write a spec document covering these six core areas:

  1. Objective — What are we building and why? Who is the user? What does success look like?

  2. Commands — Full executable commands with flags, not just tool names.

    Build: npm run build
    Test: npm test -- --coverage
    Lint: npm run lint --fix
    Dev: npm run dev
    
  3. Project Structure — Where source code lives, where tests go, where docs belong.

    src/           → Application source code
    src/components → React components
    src/lib        → Shared utilities
    tests/         → Unit and integration tests
    e2e/           → End-to-end tests
    docs/          → Documentation
    
  4. Code Style — One real code snippet showing your style beats three paragraphs describing it. Include naming conventions, formatting rules, and examples of good output.

  5. Testing Strategy — What framework, where tests live, coverage expectations, which test levels for which concerns.

  6. Boundaries — Three-tier system:

    • Always do: Run tests before commits, follow naming conventions, validate inputs
    • Ask first: Database schema changes, adding dependencies, changing CI config
    • Never do: Commit secrets, edit vendor directories, remove failing tests without approval

Spec template:

# Spec: [Project/Feature Name]

## Objective
[What we're building and why. User stories or acceptance criteria.]

## Tech Stack
[Framework, language, key dependencies with versions]

## Commands
[Build, test, lint, dev — full commands]

## Project Structure
[Directory layout with descriptions]

## Code Style
[Example snippet + key conventions]

## Testing Strategy
[Framework, test locations, coverage requirements, test levels]

## Boundaries
- Always: [...]
- Ask first: [...]
- Never: [...]

## Success Criteria
[How we'll know this is done — specific, testable conditions]

## Open Questions
[Anything unresolved that needs human input]

Reframe instructions as success criteria. When receiving vague requirements, translate them into concrete conditions:

REQUIREMENT: "Make the dashboard faster"

REFRAMED SUCCESS CRITERIA:
- Dashboard LCP < 2.5s on 4G connection
- Initial data load completes in < 500ms
- No layout shift during load (CLS < 0.1)
→ Are these the right targets?

This lets you loop, retry, and problem-solve toward a clear goal rather than guessing what "faster" means.

Phase 2: Plan

With the validated spec, generate a technical implementation plan:

  1. Identify the major components and their dependencies
  2. Determine the implementation order (what must be built first)
  3. Note risks and mitigation strategies
  4. Identify what can be built in parallel vs. what must be sequential
  5. Define verification checkpoints between phases

The plan should be reviewable: the human should be able to read it and say "yes, that's the right approach" or "no, change X."

Phase 3: Tasks

Break the plan into discrete, implementable tasks:

  • Each task should be completable in a single focused session
  • Each task has explicit acceptance criteria
  • Each task includes a verification step (test, build, manual check)
  • Tasks are ordered by dependency, not by perceived importance
  • No task should require changing more than ~5 files

Task template:

- [ ] Task: [Description]
  - Acceptance: [What must be true when done]
  - Verify: [How to confirm — test command, build, manual check]
  - Files: [Which files will be touched]

Phase 4: Implement

Execute tasks one at a time following incremental-implementation and test-driven-development skills. Use context-engineering to load the right spec sections and source files at each step rather than flooding the agent with the entire spec.

Keeping the Spec Alive

The spec is a living document, not a one-time artifact:

  • Update when decisions change — If you discover the data model needs to change, update the spec first, then implement.
  • Update when scope changes — Features added or cut should be reflected in the spec.
  • Commit the spec — The spec belongs in version control alongside the code.
  • Reference the spec in PRs — Link back to the spec section that each PR implements.

Common Rationalizations

RationalizationReality
"This is simple, I don't need a spec"Simple tasks don't need long specs, but they still need acceptance criteria. A two-line spec is fine.
"I'll write the spec after I code it"That's documentation, not specification. The spec's value is in forcing clarity before code.
"The spec will slow us down"A 15-minute spec prevents hours of rework. Waterfall in 15 minutes beats debugging in 15 hours.
"Requirements will change anyway"That's why the spec is a living document. An outdated spec is still better than no spec.
"The user knows what they want"Even clear requests have implicit assumptions. The spec surfaces those assumptions.

Red Flags

  • Starting to write code without any written requirements
  • Asking "should I just start building?" before clarifying what "done" means
  • Implementing features not mentioned in any spec or task list
  • Making architectural decisions without documenting them
  • Skipping the spec because "it's obvious what to build"

Verification

Before proceeding to implementation, confirm:

  • The spec covers all six core areas
  • The human has reviewed and approved the spec
  • Success criteria are specific and testable
  • Boundaries (Always/Ask First/Never) are defined
  • The spec is saved to a file in the repository
how to use spec-driven-development

How to use spec-driven-development on Cursor

AI-first code editor with Composer

1

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 spec-driven-development
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/addyosmani/agent-skills --skill spec-driven-development

The skills CLI fetches spec-driven-development from GitHub repository OWNER/REPO and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/spec-driven-development

Reload or restart Cursor to activate spec-driven-development. Access the skill through slash commands (e.g., /spec-driven-development) 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

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.628 reviews
  • Alexander Park· Dec 12, 2024

    Keeps context tight: spec-driven-development is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakshi Patil· Nov 23, 2024

    I recommend spec-driven-development for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Maya Chawla· Nov 3, 2024

    Registry listing for spec-driven-development matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aditi Gupta· Oct 22, 2024

    spec-driven-development reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Oct 14, 2024

    Useful defaults in spec-driven-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Okafor· Sep 13, 2024

    spec-driven-development has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yusuf Mensah· Sep 5, 2024

    Solid pick for teams standardizing on skills: spec-driven-development is focused, and the summary matches what you get after install.

  • Oshnikdeep· Sep 1, 2024

    spec-driven-development is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Fatima Sharma· Aug 24, 2024

    spec-driven-development has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ganesh Mohane· Aug 20, 2024

    Keeps context tight: spec-driven-development is the kind of skill you can hand to a new teammate without a long onboarding doc.

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