spec-driven-development
Write a structured specification before writing code. Use when starting a new project, feature, or significant change. Defines objectives, commands, structure, code style, testing strategy, and boundaries.
What this skill does
# Spec-Driven Development
## Overview
Write a comprehensive specification before writing any implementation code. The spec covers objectives, interface contracts, project structure, code style, testing strategy, and behavioral boundaries. This is the canonical Define-phase skill.
## When to Use
- Starting a new project or module
- Building a feature that spans more than one file
- Making a significant change to existing behavior
- When stakeholders need to review and approve scope before work begins
## Spec Structure
### 1. Objective
- What this feature does and why
- Target users and their needs
- Measurable success criteria
### 2. Interface Contracts
- API endpoints, CLI commands, or function signatures
- Input/output shapes with examples
- Error cases and status codes
### 3. Project Structure
- New files to create
- Existing files to modify
- Directory layout if relevant
### 4. Code Style
- Language and framework conventions
- Naming patterns to follow
- Import organization
- Error handling patterns
### 5. Testing Strategy
- Test framework and runner
- Coverage targets (minimum 80%)
- Test categories: unit, integration, e2e
- Critical path coverage requirements
### 6. Boundaries
- Always do: rules that must always be followed
- Ask first: decisions that require stakeholder input
- Never do: hard constraints that must not be violated
## Process
### Step 1: Gather Requirements
- Understand the user problem
- Identify constraints and dependencies
- Clarify ambiguous requirements with questions
### Step 2: Write the Spec
- Save as `specs/{feature}/spec.md`
- Cover all six sections above
- Keep it concrete and actionable
### Step 3: Review and Validate
- Check that acceptance criteria are testable
- Verify boundaries are clear and enforceable
- Confirm scope is appropriate for the change
### Step 4: Get Approval
- Present spec to stakeholders
- Address feedback before proceeding to planning
## Common Rationalizations
| Rationalization | Reality |
|---|---|
| "I can just start coding" | Without a spec, you will discover requirements mid-implementation, causing rework. |
| "The spec will be outdated immediately" | Specs capture intent. Implementation details change; intent should not. |
| "This is too small for a spec" | If it touches more than one file or more than one concern, it deserves at least a brief spec. |
## Verification
- [ ] All six spec sections are present
- [ ] Acceptance criteria are testable
- [ ] Boundaries include always-do, ask-first, and never-do rules
- [ ] Spec is saved in `specs/{feature}/spec.md`
## Anti-Rationalization Table
| Excuse | Counter |
|--------|---------|
| "I'll write the spec as I code" | Coding without a spec leads to rework. A 5-minute spec prevents a 5-hour rewrite. |
| "This is too simple for a spec" | Simple features become complex. A spec keeps scope clear and prevents scope creep. |
| "The requirements are clear in my head" | Mental requirements change during implementation. Written specs catch ambiguities early. |
| "I'll document it after implementation" | Post-implementation specs describe what was built, not what should be built. Spec first. |
| "The spec will be outdated immediately" | Specs capture intent. Implementation details change; intent should not. |
Related in Writing & Docs
jax-development
IncludedUse this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.
nature-article-writer
IncludedDrafts, rewrites, diagnostically critiques, and style-calibrates primary research manuscripts for Nature and Nature Portfolio journals. Use when the user wants a Nature-style title, summary paragraph or abstract, introduction, results, discussion, methods, figure legends, presubmission enquiry, cover letter, reviewer response, or when a scientific draft sounds generic, jargon-heavy, structurally weak, or AI-ish and needs precise, broad-reader-friendly prose without inventing data, analyses, or references. Best for primary research articles and letters rather than reviews or press releases unless explicitly adapting one.
deckrd
IncludedDocument-driven framework that derives requirements, specifications, implementation plans, and executable tasks from goals through structured AI dialogue. Use when user says "write requirements", "create spec", "plan implementation", "derive tasks", "structure this feature", "break down into tasks", or "document this module". Also use for reverse engineering existing code into docs (/deckrd rev). Do NOT use for direct code writing — use /deckrd-coder after tasks are generated. Do NOT use when the user only wants to run or fix existing code without planning.
clinical-decision-support
IncludedGenerate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
handling-sf-data
IncludedSalesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use querying-soql), Apex test execution (use running-apex-tests), or metadata deployment (use deploying-metadata).
accelint-ac-to-playwright
IncludedConvert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.