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athola

spec-writing

@athola/spec-writing
athola
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22 forks
Updated 5/5/2026
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Create clear, testable specifications from feature descriptions with user stories, acceptance criteria, and success metrics.

Installation

$npx agent-skills-cli install @athola/spec-writing
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Details

Pathplugins/spec-kit/skills/spec-writing/SKILL.md
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Scoped Name@athola/spec-writing

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

npx agent-skills-cli list

Skill Instructions


name: spec-writing description: 'Create clear, testable specifications from feature descriptions with user stories, acceptance criteria, and success metrics.' version: 1.9.3 alwaysApply: false category: specification tags:

  • speckit
  • specification
  • requirements
  • user-stories
  • acceptance-criteria dependencies:
  • superpowers:brainstorming tools: [] usage_patterns:
  • feature-specification
  • requirements-documentation
  • user-story-creation complexity: intermediate model_hint: standard estimated_tokens: 1200 progressive_loading: true modules:
  • success-criteria-patterns
  • specification-structure
  • checklist-dimensions

Spec Writing

Overview

Create clear, complete, and testable specifications from natural language feature descriptions. Specifications focus on user value and business needs, avoiding implementation details.

When To Use

  • Creating new feature specifications
  • Refining existing specifications
  • Writing user stories and acceptance criteria
  • Defining success criteria

When NOT To Use

  • Generating implementation tasks - use task-planning

Core Principles

Focus on user value and business needs rather than implementation details. Avoid specifying technology choices in requirement definitions unless strictly necessary. Ensure every requirement is testable and verifiable with measurable criteria. Limit clarification markers; make informed assumptions based on industry standards and document them explicitly.

Specification Structure

Mandatory Sections

  1. Overview/Context: What problem does this solve?
  2. User Scenarios: Who uses it and how?
  3. Functional Requirements: What must it do?
  4. Success Criteria: How do we know it works?

Optional Sections

  • Success Criteria (when performance/security critical)
  • Edge Cases (when special handling needed)
  • Dependencies (when external systems involved)
  • Assumptions (when decisions made with incomplete info)

See: modules/specification-structure.md for detailed templates and guidelines

Quality Checklist

  • No implementation details present
  • Requirements are testable and unambiguous
  • Success criteria are measurable
  • User scenarios cover primary flows
  • Edge cases identified
  • Scope clearly bounded

Success Criteria Quick Reference

Good (User-focused, Measurable, Technology-agnostic)

  • "Users complete checkout in under 3 minutes"
  • "System supports 10,000 concurrent users"
  • "95% of searches return results in under 1 second"

Bad (Implementation-focused, Internal metrics)

  • "API response time under 200ms" -> Use: "Pages load in under 2 seconds"
  • "Redis cache hit rate above 80%" -> Use: "Frequently accessed data loads with no noticeable delay"
  • "React components render efficiently" -> Use: "UI updates appear with no visible frame drops"

See: modules/success-criteria-patterns.md for detailed examples and conversion process

Related Skills

  • speckit-orchestrator: Workflow coordination
  • task-planning: Converting specs to tasks

Troubleshooting

Common Issues

If specifications are too vague, use the success-criteria-patterns module to enforce measurable outcomes. If implementation details leak into specs, review against the "Core Principles" and refactor to focus on user behavior.