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speckit-specify

Convert natural-language feature descriptions into testable specification sections.

Updated Apr 3, 2026
Search Tags:#planning#requirements#validation#nlp#feature-spec#spec-generation
One-click install
npx skills add https://github.com/burningddol/epigram --skill speckit-specify-burningddol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: speckit-specify
Source: https://github.com/burningddol/epigram/tree/main/.claude/skills/speckit-specify
Command: npx skills add https://github.com/burningddol/epigram --skill speckit-specify-burningddol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creating comprehensive feature specifications from vague ideas is slow, error-prone, and hard to align with stakeholders.

Core Features & Use Cases

  • Structured spec generation: convert natural-language feature descriptions into complete, testable specification sections.
  • Quality and clarity checks: perform validation steps, flag gaps, and guide clarifications to reduce misinterpretation.
  • Stakeholder alignment & planning: produce a spec ready for planning and review with acceptance criteria, scenarios, and assumptions.

Quick Start

Provide a natural-language feature description to generate a ready-to-review specification.

Frequently Asked Questions about speckit-specify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate testable feature specs from natural language descriptions?▼

Feature spec generation from natural language descriptions converts vague prompts into structured sections with acceptance criteria, user scenarios, and validation workflows. This ensures the resulting specification is actionable and ready for stakeholder review.

What is the best way to structure product requirements for stakeholder alignment?▼

Structuring product requirements for stakeholder alignment requires defining functional requirements, success criteria, and assumptions. Generating a complete feature spec from initial prompts ensures all stakeholders share a clear, testable understanding of the planned development.

How do I validate feature specifications and flag gaps before planning?▼

Validating feature specifications involves performing automated quality and clarity checks to flag gaps and guide clarifications. This reduces misinterpretation by ensuring the spec satisfies all defined functional requirements and assumptions before planning begins.

Can I turn vague product discovery ideas into complete acceptance criteria?▼

Turning vague product discovery ideas into acceptance criteria is possible by applying spec generation to natural language inputs. The process extracts defined user scenarios and validation workflows to produce a robust, testable feature specification.

What should be included in a feature spec to ensure it is ready for planning?▼

A feature spec ready for planning must include defined user scenarios, functional requirements, success criteria, and assumptions. Generating these sections from natural language prompts ensures the specification is complete, testable, and aligned with stakeholders.

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