Spec-First Development
Contract
Inputs:
- User request describing a feature, project, or non-trivial implementation task.
Outputs:
- Stage A framing with 3 approaches and tradeoffs.
- Draft
spec-[feature-name].mdcontent for.agents/memory/. - Draft
todo.mdchecklist with per-step verification commands.
Creates/Modifies:
.agents/memory/spec-[feature-name].md(spec artifact)..agents/memory/decisions-[feature-name].md(decision log).- GitHub Issue (checklist body for active todo tracking).
External Side Effects:
- Creates GitHub Issues via the gh CLI when creating todo tracking.
Confirmation Required:
- Before creating GitHub Issues.
- Before proceeding from Stage C to Stage D (execution).
Delegates To:
task-prd-creatorfor PRD-style issue creation.executing-plansfor Stage D autonomous execution.
A structured workflow for LLM-assisted coding that delays implementation until decisions are explicit.
When This Activates
- "Build X" or "Create Y" (new features/projects)
- "Implement..." (non-trivial functionality)
- "Add a feature that..." (multi-step work)
- Any request requiring 3+ files or unclear requirements
When to Skip
- Single-file changes under 50 lines
- Typo fixes, log additions, config tweaks
- User explicitly says "just do it" or "quick fix"
Core Principles
-
Delay implementation until tradeoffs are explicit — Use conversation to clarify constraints, compare options, surface risks. Only then write code.
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Treat the model like a junior engineer with infinite typing speed — Provide structure: clear interfaces, small tasks, explicit acceptance criteria. Code is cheap; understanding and correctness are scarce.
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Specs beat prompts — For anything non-trivial, create a durable artifact (spec file) that can be re-fed, diffed, and reused across sessions.
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Generated code is disposable; tests are not — Assume rewrites. Design for easy replacement: small modules, minimal coupling, clean seams, strong tests.
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The model is over-confident; reality is the judge — Everything important gets verified by execution: tests, linters, typecheckers, reproducible builds.
The 6-Stage Workflow
Stage A: Frame the Problem (conversation mode)
Goal: Decide before you implement.
Prompts that work:
- "List 3 viable approaches. Compare on: complexity, failure modes, testability, future change, time to first demo."
- "What assumptions are you making? Which ones are risky?"
- "Propose a minimal version that can be deleted later without regret."
Output: Decision notes in .agents/memory/decisions-[feature-name].md
Stage B: Write spec.md (freeze decisions)
Goal: Turn decisions into unambiguous requirements.
File: .agents/memory/spec-[feature-name].md
# [Feature Name] Spec
## Purpose
One paragraph: what this is for.
## Non-Goals
Explicitly state what you are NOT building.
## Interfaces
Inputs/outputs, data types, file formats, API endpoints, CLI commands.
## Key Decisions
Libraries, architecture, persistence choices, constraints.
## Edge Cases and Failure Modes
Timeouts, retries, partial failures, invalid input, concurrency, idempotency.
## Acceptance Criteria
Bullet list of EARS statements (`WHEN`/`WHILE`/`WHERE`/`IF … THE SYSTEM SHALL …`,
or a bare `THE SYSTEM SHALL …`) — testable, pass/fail, no judgement.
Avoid "should be fast." Prefer: "WHEN given 1k items THE SYSTEM SHALL process them under 2s on M1 Mac."
## Test Plan
Unit/integration boundaries, fixtures, golden files, what must be mocked.
Stage C: Generate todo.md (planning mode)
Goal: Stepwise checklist where each step has a verification command.
Tracking: a GitHub Issue per feature — the checklist below is the issue body.
# [Feature Name] TODO
- [ ] Add project scaffolding (build/run/test commands)
Verify: `bun run build && bun run test`
- [ ] Implement module X with interface Y
Verify: `bun run test -- --grep "module X"`
- [ ] Add tests for edge cases A/B/C
Verify: `bun run test -- --grep "edge cases"`
- [ ] Wire integration
Verify: `bun run integration`
- [ ] Add docs
Verify: `bun run docs && open docs/index.html`
Each item must be independently checkable. This prevents "looks right" progress.
Stage D: Execute Changes (implementation mode)
Goal: Small diffs, frequent verification, controlled context.
Rules:
- One logical change per step
- Keep focus on one interface at a time
- After each change: run verification command, paste actual output back
- Commit early and often
For large codebases:
- Provide only relevant files plus spec/todo
- If summarizing repo, do it once and keep as reusable artifact
Stage E: Verify and Review (adversarial mode)
Goal: Force the model to try to break its own work.
Prompts:
- "Act as a hostile reviewer. Find correctness bugs, not style nits. List concrete failing scenarios."
- "Given these acceptance criteria, which are not actually satisfied? Be specific."
- "Propose 5 tests that would fail if the implementation is wrong."
Stage F: Decide What Lasts
Goal: Keep the system easy to delete and rewrite.
Heuristics:
- Keep "policy" (business rules) separate from "mechanism" (I/O, DB, HTTP)
- Prefer shallow abstractions that can be removed without cascade
- Invest in tests and fixtures more than clever architecture
The Three-Artifact Convention
Durable spec + decisions live in .agents/memory/ (not project root); the stepwise todo is tracked as a GitHub Issue:
.agents/memory/
├── spec-[feature-name].md # what/why/constraints
└── decisions-[feature-name].md # tradeoffs, rejected options, assumptions
GitHub Issue (one per feature) # steps + verification commands (checklist body)
Naming: Use the feature/task name (e.g., user-auth, api-refactor) as the filename suffix and the issue title.
Why memory/ + Issues:
- Keeps project root clean
- Durable spec/decisions stay in
.agents/memory/(the source of truth) - Active todos live in GitHub Issues, where work is tracked
- Works with task-prd-creator and executing-plans skills
- Persists across sessions
Agent Readiness Checklist (IMPACT)
Before running autonomous/agentic execution, verify:
| Dimension | Question | If No... | |-----------|----------|----------| | Intent | Do you have acceptance criteria and a test harness? | Don't run agent | | Memory | Do you have durable artifacts (spec/todo) so it can resume? | It will thrash | | Planning | Can it produce/update a plan with checkpoints? | It will improvise badly | | Authority | Is what it can do restricted (edit, test, commit)? | Too risky | | Control Flow | Does it decide next step based on tool output? | It's just generating blobs | | Tools | Does it have minimum necessary tooling and nothing extra? | Attack surface too large |
Approve at meaningful checkpoints (end of todo item, after test suite passes), not every micro-step.
Prompt Patterns
Authoritarian (for correctness):
Edit these files: [paths]
Interface: [exact signatures]
Acceptance criteria: [list]
Required tests: [list]
Don't change anything else.
Options and tradeoffs (for design):
Give me 3 options and a recommendation.
Make the recommendation conditional on constraints A/B/C.
Context discipline (for large codebases):
Only use the files I provided.
If you need more context, ask for a specific file and explain why.
Make it provable:
Add a test that fails on the buggy version and passes on the correct one.
Output Format
When this skill activates, produce:
SPEC-FIRST WORKFLOW
STAGE A - FRAMING:
[3 approaches with tradeoffs]
[Recommendation]
STAGE B - SPEC:
[Draft spec.md content]
STAGE C - TODO:
[Draft todo.md with verification commands]
Ready to proceed to Stage D (execution)?