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addyosmani/spec-driven-development

addyosmani

spec-driven-development

Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when drafting a PRD or requirements document with objectives and scope, or when requirements are unclear, ambiguous, or only exist as a vague idea. Use when a single requirement spans several independently testable capabilities and needs decomposing into a capability map of modules before specifying.

NewUpdated Oct 29, 2026

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, preceded by a scope check (Phase 0) that activates only when one request bundles several independently testable capabilities. 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 0: Scope Check

Most requests describe one capability. If this one does, skip this phase and go straight to Specify — Phase 0 exists for the exception, not the rule, and it puts no hierarchy on single-capability features.

Detection. Decompose before specifying when a single requirement bundles several independently testable capabilities:

  • The requirement names distinct capabilities with their own consumers or data (e.g. identity, billing, notifications, reporting)
  • Acceptance criteria cluster into groups that could ship and be verified separately
  • One capability could be cut or replaced without rewriting the others' requirements

Propose a capability map before writing any spec. Small and reviewable — a module table plus a build order, not a project plan:

# Capability Map: [Initiative Name]

| Module id | Responsibility | Depends on |
|---|---|---|
| identity | Accounts, sessions, SSO | — |
| billing | Plans, invoices, payments | identity |
| notifications | Email and webhook fan-out | identity |
| reporting | Usage dashboards | billing, notifications |

Build order: identity → billing, notifications → reporting
  • Stable module ids. Kebab-case, chosen once, never renamed mid-initiative. Specs, plans, and downstream commands select work by these ids instead of guessing which spec is active.
  • Dependency direction, no cycles. Arrows point one way. If two modules each need the other, they are one module.
  • Interfaces live at the boundary. The map records that billing depends on identity; the contract between them belongs in the provider module's spec (see api-and-interface-design for designing it).

The map is gated like every phase. The human reviews module boundaries, dependency direction, and build order before any module spec is written. Getting the map wrong is expensive; reviewing ten lines is not.

Then recurse per module. Run Specify → Plan → Tasks → Implement for each module in dependency order. Each module gets its own spec, scoped to that module's objective, boundaries, and success criteria. Save the approved map at the project root and each module's spec alongside it, named by module id (SPEC-identity.md, SPEC-billing.md) — the map, not filename guessing, is the index of what exists.

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]

External spec tools: This workflow is format-agnostic. If the project already uses OpenSpec or another specification system, keep that system's artifact format and storage conventions instead of creating a duplicate SPEC.md. This skill owns the clarification, content, and approval gates; the external tool owns how the approved spec is represented.

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.

Stop after writing the spec (CRITICAL). Once the spec is saved:

  1. Summarize it and list any Open Questions.
  2. Ask the human to approve it or request changes.
  3. STOP YOUR TURN IMMEDIATELY. Do NOT start Phase 2, invoke planning-and-task-breakdown, or write code in this turn. Planning starts only after the human approves the spec in a later turn.

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

Follow planning-and-task-breakdown for the dependency-graph mapping and vertical-slicing mechanics behind these steps; it is the canonical source. The bullets above are a lightweight summary; if they ever diverge, planning-and-task-breakdown takes precedence.

Output convention: Save the plan to tasks/plan.md and record the task list in the task list target defined by planning-and-task-breakdown (default tasks/todo.md; projects may designate an external tracker instead). Create tasks/ if it does not exist. Downstream commands (/build, etc.) expect these defaults.

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

Follow planning-and-task-breakdown for the full task-sizing and dependency-ordering mechanics; it is the canonical source. The template below is a lightweight inline form; if they ever diverge, planning-and-task-breakdown takes precedence.

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 skills/incremental-implementation/SKILL.md (incremental-implementation) and skills/test-driven-development/SKILL.md (test-driven-development). Use skills/context-engineering/SKILL.md (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

Rationalization Reality
"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.
"It's one big feature; splitting it is overhead" If acceptance criteria cluster into independently testable groups, a monolithic spec forces every downstream task to reason over the whole contract. A ten-line capability map is the cheap alternative.
"I'll decompose during planning" Planning slices tasks within a spec. By then the oversized artifact already exists — module boundaries and dependency direction must be decided before the spec is written, not after.

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"
  • Writing the spec and starting the plan or code in the same turn
  • One spec whose requirements span several independently testable capabilities
  • Module boundaries or build order decided implicitly during implementation because no capability map was approved up front

Verification

Before proceeding to implementation, confirm:

  • The spec covers all six core areas
  • The human has reviewed and approved the spec
  • The turn ended after saving the spec; approval came in a later turn
  • Success criteria are specific and testable
  • Boundaries (Always/Ask First/Never) are defined
  • The spec is saved to a file in the repository
  • If the request bundles several independently testable capabilities, a capability map (module ids, dependency direction, build order) was approved before any module spec was written
  • Every module spec traces to a module id in the approved map
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Overall Score

88/100

Grade

A

Excellent

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

92

Quality

87

Clarity

89

Completeness

82

Summary

Spec-Driven Development is a meta-skill that teaches an AI agent how to elicit and write structured specifications before implementing code. It covers a gated workflow (Scope Check → Specify → Plan → Tasks → Implement) with explicit approval gates between phases, templates for specification documents, and guidance on handling multi-capability initiatives through capability maps. The skill emphasizes surfacing assumptions, defining success criteria, and keeping specs as living documents throughout development.

Detected Capabilities

requirements gatheringspecification writingtemplate generationcapability mappingassumption surfacingscope validationsuccess criteria definitionproject structure designfile writing

Trigger Keywords

Phrases that agents use to match this skill to user intent.

start new featurewrite project specclarify requirementsdecompose multi-module projectcapability maprequirements ambiguousscope multiple featuresdefine success criteriaprevent reworkrequirements unclear

Use Cases

  • Starting a new project or feature with ambiguous requirements
  • Decomposing complex initiatives into independently testable modules before writing any code
  • Clarifying and documenting technical requirements with explicit success criteria
  • Structuring multi-month work into phases with human approval gates
  • Preventing rework by forcing clarity before implementation begins
  • Creating a shared source of truth between agent and human engineer about what's being built and why
  • Handling scope creep by updating specs before implementation changes

Quality Notes

  • Excellent structural clarity with a five-phase workflow clearly labeled and justified
  • Strong use of tables and examples (capability maps, templates, before-after reframing) to illustrate concepts
  • Explicit gating mechanism: the spec must be saved and approved before advancing to planning or coding
  • Actionable verification checklist at the end with 8 concrete checkpoints
  • Good coverage of common rationalizations and red flags showing anticipation of misuse
  • Thorough specification template covering all six core areas (Objective, Commands, Structure, Code Style, Testing, Boundaries, Success Criteria)
  • Clear guidance on assumptions surfacing as a dedicated pre-specification step
  • Integrates external tools (OpenSpec) gracefully rather than forcing a single format
  • References other skills (planning-and-task-breakdown, incremental-implementation, test-driven-development, context-engineering) with clear deference to them as canonical sources
  • Boundary system (Always/Ask First/Never) provides clear guardrails for implementation decisions
  • Living document philosophy explicitly documented with update triggers
Model: claude-haiku-4-5-20251001Analyzed: Oct 29, 2026

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Version History

  1. v2.3

    Content updated

    ✦ AICorrects npm script argument syntax in Lint command from npm run lint --fix to npm run lint -- --fix.

    2026-10-29

    LATEST
  2. v2.2

    Content updated

    ✦ AIAdds mandatory turn boundary after spec writing: agent must stop and request approval before planning or coding.

    2026-10-04

    View This Version
  3. v2.1

    Content updated

    ✦ AIAdds guidance on integrating with external spec tools like OpenSpec instead of creating duplicate SPEC.md files.

    2026-09-12

    View This Version
  4. v2.0

    Contract changed: description

    ✦ AIAdds Phase 0 (Scope Check) to decompose multi-capability requirements into a capability map before specifying; clarifies activation rules and adds naming/dependency conventions.

    triggering2026-09-09

    View This Version
  5. v1.1

    Content updated

    ✦ AIAdds two canonical-source references to planning-and-task-breakdown skill; expands Phase 4 implementation references to full skill paths.

    2026-06-28

    View This Version
  6. v1.0

    2026-05-02

    View This VersionInitial version

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