Skill

Write validated specs before coding to align requirements

A 4-phase gated workflow (specify, plan, tasks, implement) that writes a structured spec before code, human-reviewed at every gate.

Works with githubpostgresqlprismanpm

90
Spark score
out of 100
Updated 22 days ago
Version 0.6.3

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Why it matters

Ensure AI agents and human engineers share a concrete, testable definition of what to build before writing any code, preventing costly rework from misunderstood requirements.

Outcomes

What it gets done

01

Surface assumptions and ambiguities through structured clarifying questions before implementation

02

Generate six-part specification documents covering objectives, commands, structure, style, testing, and boundaries

03

Break validated specs into dependency-ordered tasks with explicit acceptance criteria

04

Maintain living spec documents that evolve with scope changes and architectural decisions

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-spec-driven-development | bash

Overview

Spec-Driven Development

This skill runs a 4-phase gated spec-driven workflow (Specify, Plan, Tasks, Implement, each human-reviewed) - surfacing assumptions, writing a six-area spec, generating a reviewable plan, breaking it into dependency-ordered tasks, and implementing incrementally against the living spec. Use it for a new project/feature, ambiguous requirements, multi-file changes, upcoming architectural decisions, or tasks over 30 minutes. Not for single-line fixes or unambiguous, self-contained changes.

What it does

A gated four-phase workflow - Specify, Plan, Tasks, Implement, each requiring human review before advancing - built on the premise that code without a spec is guessing. Phase 1 (Specify) starts by surfacing assumptions explicitly before writing any spec content (e.g. "this is a web app, not native mobile; auth is session-cookie-based; Postgres per the existing Prisma schema") rather than silently filling ambiguous requirements, since assumptions are the most dangerous form of misunderstanding. The spec document covers six core areas: Objective (what's being built, why, who the user is, what success looks like); Commands (full executable commands with flags - build/test/lint/dev - not just tool names); Project Structure (where source, tests, and docs live); Code Style (one real code snippet beats three paragraphs of description); Testing Strategy (framework, test locations, coverage expectations, which test levels cover which concerns); and Boundaries as a three-tier system - Always do (run tests before commits, follow naming conventions, validate inputs), Ask first (schema changes, adding dependencies, CI config changes), Never do (commit secrets, edit vendor directories, remove failing tests without approval). A fixed spec template also captures success criteria and open questions needing human input. Vague requirements get reframed as concrete, testable success criteria - "make the dashboard faster" becomes specific LCP/load-time/CLS targets to confirm with the human - so implementation can loop toward a clear goal instead of guessing at what "faster" means. Phase 2 (Plan) takes the validated spec and generates a reviewable technical plan: major components and dependencies, implementation order, risks and mitigations, what can run in parallel versus must be sequential, and verification checkpoints between phases - explicitly deferring to the planning-and-task-breakdown skill as the canonical source for the dependency-graph and vertical-slicing mechanics behind these steps. Phase 3 (Tasks) breaks the plan into discrete units, each completable in one focused session, each with explicit acceptance criteria and a verification step, ordered by dependency rather than perceived importance, and none touching more than roughly 5 files - again deferring to planning-and-task-breakdown as canonical for sizing and ordering, with a lightweight inline task template (description, acceptance, verify, files touched). Phase 4 (Implement) executes tasks one at a time via the incremental-implementation and test-driven-development skills, using context-engineering to load only the relevant spec sections and source files at each step rather than flooding the agent with the entire spec. The spec stays a living document rather than a one-time artifact: updated first when a decision or scope changes (spec before implementation, not after), committed to version control alongside the code, and referenced by section in PRs that implement it.

When to use - and when NOT to

Use it when starting a new project or feature, requirements are ambiguous or incomplete, the change touches multiple files or modules, an architectural decision is coming up, or the task would take more than 30 minutes to implement. Do NOT use it for single-line fixes, typo corrections, or changes with unambiguous, self-contained requirements - simple tasks still need acceptance criteria, but not a long spec.

Inputs and outputs

Input is a vague or high-level feature request. Output is a human-reviewed spec document (six core areas plus success criteria), a reviewable technical plan, a dependency-ordered task list with acceptance criteria, and finally the implementation itself, executed task by task.

Integrations

Defers to planning-and-task-breakdown as the canonical source for plan and task mechanics, and to incremental-implementation, test-driven-development, and context-engineering skills for the implementation phase itself.

Who it's for

Developers and agents starting non-trivial work who want requirements clarified and assumptions surfaced before any code is written, with a human review gate at each phase rather than discovering misunderstandings mid-implementation.

Source README

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

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.

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.

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

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

FAQ

Common questions

Discussion

Questions & comments · 0

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