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.
git clone https://github.com/addyosmani/agent-skills.git--- 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 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. --- # 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 | 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" - 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
[{"step":1,"action":"Gather raw requirements. Collect all available inputs: stakeholder interviews, existing docs, competitor analyses, or vague ideas like '[PLACEHOLDER: We need a better way to track deals]'.","tip":"Use the '5 Whys' technique to uncover hidden requirements. For example, if a stakeholder says 'We need a dashboard,' ask why 5 times to reveal the actual need (e.g., 'to reduce time spent on manual reporting')."},{"step":2,"action":"Fill in the prompt template with [PLACEHOLDERS]. Start with the objective and success metrics—these should be measurable and time-bound. Break the scope into 3-5 high-level capabilities that can be independently developed and tested.","tip":"Use the 'MoSCoW' method (Must-have, Should-have, Could-have, Won't-have) to prioritize capabilities. This helps avoid scope creep later."},{"step":3,"action":"Refine requirements iteratively. For each capability, define 2-3 functional requirements (what the system must do) and 1-2 non-functional requirements (how it must perform). Ensure every requirement is testable.","tip":"Use the 'SMART' criteria: Specific, Measurable, Achievable, Relevant, Time-bound. For example, 'The system must calculate forecast accuracy within 5% of actual revenue' is testable."},{"step":4,"action":"Validate the specification with stakeholders. Share the draft with engineers, product managers, and end-users to identify gaps or misunderstandings. Use their feedback to refine the document.","tip":"Conduct a 'spec review' meeting where stakeholders walk through each requirement. Ask: 'How would we test this?' to ensure clarity."},{"step":5,"action":"Use the specification as a living document. Update it as new information emerges or priorities change. Reference it during development to resolve ambiguity and during QA to design test cases.","tip":"Store the specification in a shared tool like Notion, Confluence, or Google Docs. Link it to your project management tool (e.g., Jira) to track requirements."}]
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git clone https://github.com/addyosmani/agent-skills/tree/main/skills/spec-driven-developmentCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a product and technical specification writer. Draft a comprehensive specification document for [PROJECT_NAME], a [BRIEF_PROJECT_DESCRIPTION]. Start with the core objective and success metrics: [OBJECTIVE] measured by [METRICS]. Break down the scope into [3-5] high-level capabilities/modules, each with a clear purpose. For each capability, define 2-3 functional requirements and 1-2 non-functional requirements (e.g., performance, security). Include a high-level architecture diagram description (text-based) and a risk assessment with mitigation strategies. Assume this is a greenfield project with no existing constraints. Use the following template structure:
---
**1. Overview**
- Objective: [OBJECTIVE]
- Success Metrics: [METRICS]
- Target Users: [USER_TYPES]
- Assumptions: [LIST]
**2. Scope & Capabilities**
[CAPABILITY_1]:
- Purpose: [PURPOSE]
- Functional Requirements:
1. [REQUIREMENT]
2. [REQUIREMENT]
- Non-Functional Requirements:
- [REQUIREMENT]
[CAPABILITY_2]:
- Purpose: [PURPOSE]
...
**3. Architecture**
[DIAGRAM_DESCRIPTION]
**4. Risks & Mitigations**
| Risk | Impact | Mitigation |
|------|--------|------------|
| [RISK] | [IMPACT] | [MITIGATION] |
---
Fill in the [PLACEHOLDERS] with the provided details. Prioritize clarity and testability in requirements.{
"specification_document": {
"1. Overview": {
"Objective": "Build a real-time dashboard for sales teams to monitor pipeline health and forecast revenue with 95% accuracy",
"Success Metrics": "- Weekly forecast accuracy within 5% of actual revenue\n- Dashboard load time < 2 seconds for 90% of users\n- 90% user adoption within 3 months of launch",
"Target Users": "Sales managers, account executives, and regional directors",
"Assumptions": "- Sales data is available in the CRM system\n- Users have access to a modern web browser\n- Historical data is clean and structured"
},
"2. Scope & Capabilities": {
"Pipeline Monitoring": {
"Purpose": "Provide real-time visibility into the sales pipeline with drill-down capabilities",
"Functional Requirements": [
"Display pipeline stages (Lead, Qualified, Proposal, Negotiation, Closed Won/Lost) with current deal values and probabilities",
"Allow filtering by region, product line, and sales rep",
"Highlight deals at risk of slipping (probability < 30% and age > 30 days)"
],
"Non-Functional Requirements": [
"Data refresh every 5 minutes",
"Support 500 concurrent users without performance degradation"
]
},
"Revenue Forecasting": {
"Purpose": "Generate and visualize revenue forecasts based on pipeline data",
"Functional Requirements": [
"Calculate weighted revenue forecast using deal probabilities and historical close rates",
"Display forecast trends (weekly, monthly, quarterly) with confidence intervals",
"Allow manual adjustment of forecast assumptions (e.g., seasonal factors)"
],
"Non-Functional Requirements": [
"Forecast recalculation within 1 second",
"Store historical forecasts for comparison"
]
},
"Alerting & Notifications": {
"Purpose": "Proactively notify users of critical pipeline events",
"Functional Requirements": [
"Send email alerts for deals at risk of slipping",
"Display in-app notifications for urgent pipeline changes",
"Allow users to customize alert thresholds"
],
"Non-Functional Requirements": [
"Alerts delivered within 1 minute of trigger",
"Support email and in-app notification channels"
]
}
},
"3. Architecture": {
"High-Level Diagram Description": "Frontend: React-based web application hosted on AWS CloudFront. Backend: Microservices in Node.js (API Gateway, Pipeline Service, Forecast Service) deployed on AWS ECS with Fargate. Data Layer: PostgreSQL for structured data, Redis for caching pipeline metrics. Integration: REST API to CRM system (Salesforce) with OAuth 2.0 authentication. Real-time updates via WebSocket connections."
},
"4. Risks & Mitigations": {
"Risks": [
{
"Risk": "Inaccurate forecast due to poor historical data quality",
"Impact": "Low forecast accuracy undermines user trust",
"Mitigation": "Implement data validation pipeline to clean historical data; add data quality metrics to dashboard"
},
{
"Risk": "Performance degradation during peak usage (end of quarter)",
"Impact": "Slow dashboard response times frustrate users",
"Mitigation": "Load test with 2x expected traffic; implement caching for static pipeline data; scale ECS services dynamically"
},
{
"Risk": "Integration failures with CRM system",
"Impact": "Pipeline data becomes stale or unavailable",
"Mitigation": "Implement circuit breakers in API calls; add fallback data sources (CSV upload) for critical metrics"
}
]
}
},
"notes": "This specification was generated for a fictional sales dashboard project. The requirements are testable (e.g., 'load time < 2 seconds') and decomposed into independently implementable capabilities (Pipeline Monitoring, Revenue Forecasting, Alerting). The architecture avoids over-constraint while addressing key non-functional needs (scalability, reliability)."
}skills-collection
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