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Spec Driven Development

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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.

Overview

Publisheraddyosmani
Repositoryagent-skills
Skill namespec-driven-development
Stars
95.8K
Forks
10.1K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by addyosmani on GitHub. Read the source before you install it.

Installation

Install the Spec Driven Development AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/addyosmani/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/spec-driven-development .claude/skills/spec-driven-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spec Driven Development in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Spec Driven Development on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Spec Driven Development is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

markdown
# 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:

markdown
# 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.

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:

markdown
- [ ] 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

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.
"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"
  • 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
  • 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

Frequently asked questions

What does the Spec Driven Development AI skill do?

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.

Why use Spec Driven Development on TypingMind?

Because you install it once and use it with any model. Spec Driven Development is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Spec Driven Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/addyosmani/agent-skills/tree/main/skills/spec-driven-development. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Spec Driven Development?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Spec Driven Development?

As many as you like. As long as a model supports skills, you can use Spec Driven Development with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Spec Driven Development AI skill free?

Yes. It is published on GitHub by addyosmani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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