to-spec

Synthesize conversation context and codebase knowledge into structured technical specifications.

45|2|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/hachej/boring-ui --skill to-spec-hachej
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: to-spec
Source: https://github.com/hachej/boring-ui/tree/main/.agents/skill-references/plan/matt-pocock-to-spec
Command: npx skills add https://github.com/hachej/boring-ui --skill to-spec-hachej

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the friction of manually documenting technical requirements by automatically synthesizing ongoing project discussions into structured, professional specifications.

Core Features & Use Cases

  • Automated Synthesis: Converts raw chat context into a formal PRD format without requiring user interviews.
  • Standardized Output: Generates consistent documentation including problem statements, user stories, and implementation decisions.
  • Use Case: After a brainstorming session about a new feature, use this skill to immediately generate a ready-to-track spec for your project issue tracker.

Quick Start

Ask the agent to turn the current conversation into a spec and publish it to the project issue tracker.

Frequently Asked Questions about to-spec

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

FAQPage Schema
How do I convert a brainstorming conversation into a structured technical specification?

To convert a brainstorming conversation into a structured technical specification, synthesize the active chat context and codebase knowledge into a formal PRD format. This process eliminates manual documentation friction by automatically generating problem statements, user stories, and implementation plans for your issue tracker.

How do I automatically generate a PRD from project discussions?

Automatically generating a PRD from project discussions involves synthesizing ongoing chat context into a standardized documentation format. This automated synthesis extracts technical requirements and implementation decisions directly from the raw conversation without requiring additional user interviews.

What is needed to generate user stories that align with existing architectural decisions?

Generating user stories that align with existing architectural decisions requires access to project-specific triage labels and a domain glossary. Providing this context ensures the synthesized implementation plans and technical specifications match your current codebase architecture.

Can I use conversation synthesis to create implementation plans for my project issue tracker?

Yes, you can use conversation synthesis to create implementation plans for your project issue tracker. By transforming raw chat context into standardized documentation, the workflow outputs ready-to-track technical specifications directly compatible with issue tracking systems.

Does automated specification generation work without conducting user interviews?

Yes, automated specification generation works without conducting user interviews. The synthesis mechanism directly extracts and formalizes technical requirements from the active conversation context and existing codebase knowledge, bypassing the need for manual information gathering.

What is the best way to document technical requirements after a feature brainstorming session?

The best way to document technical requirements after a feature brainstorming session is to synthesize the raw chat context into a formal PRD. This instantly produces standardized specifications, including problem statements and implementation decisions, ready for project tracking.