fast-spec

Orchestrate a feature specification pipeline from specify to analyze.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/eliascoelho1/QAUserSearch --skill fast-spec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fast-spec
Source: https://github.com/eliascoelho1/QAUserSearch/tree/main/.agents/skills/fast-spec
Command: npx skills add https://github.com/eliascoelho1/QAUserSearch --skill fast-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Orchestrates a complete feature specification pipeline from specify to analyze, ensuring clean context between steps.

Core Features & Use Cases

  • End-to-end spec lifecycle: specify, clarify, plan, tasks, analyze with isolated subtasks.
  • Generates and validates artifacts (spec.md, plan.md, tasks.md, research.md) and a consolidated summary.
  • Enforces sequential execution and clean context isolation to prevent token bloat and stale state.

Quick Start

Describe a feature and run the full specification pipeline with /fast-spec to generate the end-to-end spec.

Frequently Asked Questions about fast-spec

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

FAQPage Schema
How do I automate a feature specification pipeline from planning to analysis?

Automating a feature specification pipeline involves orchestrating sequential phases from specify to analyze. This ensures clean context isolation between steps and generates consolidated artifacts including spec.md, plan.md, and tasks.md.

Why does my specification workflow suffer from token bloat and stale state?

Specification workflows suffer from token bloat and stale state when context is not properly isolated between sequential steps. Enforcing clean context isolation during subtask execution prevents these issues and maintains workflow integrity.

Can I integrate speckit commands into an automated specification workflow?

You can integrate speckit commands into an automated specification workflow by using an orchestrator that satisfies speckit integration requirements. This orchestrates the full lifecycle and generates validated artifacts including spec.md, plan.md, and tasks.md.

What is the best way to run an end-to-end spec lifecycle with isolated subtasks?

The best way to run an end-to-end spec lifecycle with isolated subtasks is using an automated pipeline orchestrator. This executes specify, clarify, plan, tasks, and analyze phases sequentially while enforcing clean context isolation to prevent token bloat.

Do I need to manually generate artifacts like spec.md and plan.md during feature planning?

You do not need to manually generate artifacts like spec.md and plan.md during feature planning. An automated specification pipeline generates and validates these artifacts automatically, additionally producing a consolidated summary upon completion.