speckit-specify

Convert natural language feature descriptions into structured spec-kit specifications.

1|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/anishakode/Boring_AI --skill speckit-specify-anishakode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: speckit-specify
Source: https://github.com/anishakode/Boring_AI/tree/main/.cursor/skills/speckit-specify
Command: npx skills add https://github.com/anishakode/Boring_AI --skill speckit-specify-anishakode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Speckit-specify helps product teams convert a natural language feature description into a structured, machine-readable specification that can be planned and executed within the Spec Kit workflow.

Core Features & Use Cases

  • Generate a complete feature spec skeleton from a plain-language description, including sections for user scenarios, requirements, success criteria, assumptions, and constraints.
  • Create a dedicated feature directory under specs/ with a template spec file ready for planning, and persist a reference path for downstream steps.
  • Validate the spec against quality criteria, surface [NEEDS CLARIFICATION] markers when ambiguities exist, and produce a checklist for readiness.

Quick Start

Describe the feature in plain language to generate a ready-to-plan specification.

Frequently Asked Questions about speckit-specify

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

FAQPage Schema
How do I turn natural language feature ideas into structured specifications?

Feature specifications are generated by transforming plain-language descriptions into structured, plan-ready specs. The process creates a feature directory under specs with a template spec file, validating sections like user scenarios, requirements, and success criteria for immediate planning readiness.

What is the best way to write a feature spec from a plain-language description?

Writing a feature spec from plain language involves automating the transformation into a machine-readable specification. This generates a complete spec skeleton including assumptions, constraints, and success criteria, while surfacing [NEEDS CLARIFICATION] markers to resolve ambiguities before planning begins.

How do I validate requirements and surface missing details in a feature spec?

Requirements validation checks the spec against quality criteria to ensure planning readiness. It surfaces [NEEDS CLARIFICATION] markers when ambiguities exist and produces a quality-check checklist covering user scenarios, requirements, and success criteria sections.

Do I need a spec-kit project to generate ready-to-plan feature specifications?

A spec-kit project with a .specify workflow is required to generate ready-to-plan feature specifications. The tool creates a dedicated feature directory under specs and persists a reference path for downstream planning steps within this specific project structure.

What sections are included when generating a specification from a feature description?

Generated specifications include structured sections for user scenarios, requirements, success criteria, assumptions, and constraints. These sections form a complete feature spec skeleton derived from the natural language input, ensuring comprehensive coverage for downstream planning.

Why does my feature specification include [NEEDS CLARIFICATION] markers?

[NEEDS CLARIFICATION] markers appear during specification validation when the natural language input contains ambiguities. They are surfaced intentionally to highlight missing details that must be resolved before the spec can be considered ready for planning.