·spec

Drive an evidence-driven, iterative product+engineering spec process that produces a full PRD + technical spec (often as SPEC.md). Use when scoping a feature or product surface area end-to-end; defining requirements; researching external/internal prior art; mapping current system behavior; comparing design options; making 1-way-door decisions; planning phases; and maintaining a live Decision Log + Open Questions backlog. Triggers: spec, PRD, proposal, technical spec, RFC, scope this, design doc, end-to-end requirements, phase plan, tradeoffs, open questions.

31Installs·0Trend·@inkeep

Installation

$npx skills add https://github.com/inkeep/team-skills --skill spec

How to Install spec

Quickly install spec AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/inkeep/team-skills --skill spec
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: inkeep/team-skills.

SKILL.md

View raw

Session routing: If resuming an existing spec (prior session, user says "let's continue"), follow the multi-session discipline in references/artifact-strategy.md — read SPEC.md, evidence/ files, and meta/changelog.md first. Summarize current state, review pending items carried forward, and pick up from the appropriate workflow step. Do not re-run Intake for a spec that already has artifacts.

If the user skips problem framing (jumps to "how should we build X?"):

"I want to make sure I understand the problem fully before we design. Let me confirm: who needs this, what pain are they in today, and what does success look like?"

Drive an evidence-driven, iterative product+engineering spec process that produces a full PRD + technical spec (often as SPEC.md). Use when scoping a feature or product surface area end-to-end; defining requirements; researching external/internal prior art; mapping current system behavior; comparing design options; making 1-way-door decisions; planning phases; and maintaining a live Decision Log + Open Questions backlog. Triggers: spec, PRD, proposal, technical spec, RFC, scope this, design doc, end-to-end requirements, phase plan, tradeoffs, open questions. Source: inkeep/team-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/inkeep/team-skills --skill spec
Category
>_Productivity
Verified
First Seen
2026-02-23
Updated
2026-03-10

Browse more skills from inkeep/team-skills

Quick answers

What is spec?

Drive an evidence-driven, iterative product+engineering spec process that produces a full PRD + technical spec (often as SPEC.md). Use when scoping a feature or product surface area end-to-end; defining requirements; researching external/internal prior art; mapping current system behavior; comparing design options; making 1-way-door decisions; planning phases; and maintaining a live Decision Log + Open Questions backlog. Triggers: spec, PRD, proposal, technical spec, RFC, scope this, design doc, end-to-end requirements, phase plan, tradeoffs, open questions. Source: inkeep/team-skills.

How do I install spec?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/inkeep/team-skills --skill spec Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/inkeep/team-skills

Details

Category
>_Productivity
Source
skills.sh
First Seen
2026-02-23