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spec-writing

Convert an approved PRD or clear requirements into an implementation-ready technical spec with scope, interfaces, and acceptance criteria.

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Files included (2)

  • SKILL.md1.8 KB
  • agents/openai.yaml214 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Spec Writing

Use this skill to produce an implementation-ready spec before planning or coding.

The Process

Step 1: Validate inputs

Require one of:

  • approved PRD
  • clear requirements with goals and constraints

If inputs are missing or ambiguous, list assumptions and open questions first.

Step 2: Define scope boundaries

Document:

  • in scope
  • out of scope
  • constraints (time, dependencies, compliance, platform)

Step 3: Define solution design

Specify:

  • architecture overview (high-level components)
  • interfaces/contracts
  • data model changes
  • rollout and migration approach

Step 4: Define acceptance and verification

Include:

  • acceptance criteria (testable)
  • non-functional expectations (performance, security, reliability)
  • verification commands/checks required before completion

Output Format

# [Feature Name] Technical Spec

## Goal
[What this spec delivers and why]

## Scope
- In scope:
- Out of scope:
- Constraints:

## Design
- Architecture:
- Interfaces/contracts:
- Data model changes:
- Migration/rollout:

## Risks and Dependencies
- Risks:
- Dependencies:
- Mitigations:

## Acceptance Criteria
- AC1:
- AC2:
- AC3:

## Verification Plan
- Required checks:
- Commands:
- Evidence to capture:

## Open Questions
- Q1:
- Q2:

Quality Bar

  • No vague placeholders in final output
  • Acceptance criteria must be measurable
  • Verification plan must include explicit commands

When to Use

Use this skill when the task directly matches the workflow described above.

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

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