to-spec

Synthesize conversation logs into software product requirement documents.

Updated Jan 29, 2026

Search Tags:#issue tracking #conversation analysis #project documentation #specification generation #requirement synthesis

Ready to run

npx skills add https://github.com/nkabbara/dotfiles --skill to-spec-nkabbara

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: to-spec
Source: https://github.com/nkabbara/dotfiles/tree/main/exact_dot_agents/exact_skills/exact_mattpocock/exact_to-spec
Command: npx skills add https://github.com/nkabbara/dotfiles --skill to-spec-nkabbara

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables you to quickly create project specifications without the need for additional interviews, simply by synthesizing existing discussions.

Core Features & Use Cases

Contextual Spec Creation: Synthesizes a specification directly from conversation context and codebase understanding.
Issue Tracking Integration: Publishes specifications to the project issue tracker for review and action.
Triage Labeling: Automatically applies triage labels to facilitate quick review and processing.
Use Case: Perfect for rapidly creating detailed specs after team discussions or sprint planning sessions, reducing documentation overhead.

Quick Start

Activate the 'to-spec' skill during a meeting and follow the generated instructions to produce and publish a specification directly to the project's 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 generate a software specification from conversation logs?▼

Generating a software specification from conversation logs involves synthesizing spoken and textual discussion data to construct a product requirement document. This skill uses Python libraries to process conversation logs and build the specification text directly from existing discussions.

Can I create project documentation without conducting additional user research interviews?▼

Creating project documentation without additional interviews is possible by synthesizing existing team discussions. This skill extracts context from conversation data and codebase understanding to produce in-repo project specifications, eliminating the need for further user research.

How do I publish a generated specification to an issue tracker?▼

Publishing a generated specification to an issue tracker involves pushing the synthesized requirement document to the project issue tracking system. The skill automatically applies triage labels during publication to facilitate quick review and processing by the team.

What is the best way to turn sprint planning session discussions into actionable requirements?▼

Turning sprint planning discussions into actionable requirements is best achieved by synthesizing the meeting conversation data into a structured specification. The skill produces a detailed requirement document and publishes it to the issue tracker with triage labels for immediate action.

Does this specification generation approach work with in-repo project specifications?▼

This approach works effectively for in-repo project specifications by leveraging codebase understanding alongside conversation data. It synthesizes spoken and textual logs to construct specification text suitable for repository documentation and issue tracking contexts.

What are the limitations of automatically synthesizing requirement documents from conversations?▼

Automatically synthesizing requirement documents from conversations relies entirely on the quality of the existing discussion data. It requires no additional interviews, meaning the generated specification is limited to the context captured in the conversation logs and current codebase understanding.