Project Specification logo

Project Specification

Community
athola
project-specification

Transforms project briefs into testable specifications with user stories and acceptance criteria. Use after brainstorming, before planning.

Overview

Publisherathola
Repositoryclaude-night-market
Skill nameproject-specification
Stars
343
Forks
37
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by athola on GitHub. Read the source before you install it.

Installation

Install the Project Specification AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/athola/claude-night-market/tree/master/plugins/attune/skills/project-specification
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/attune/skills/project-specification .claude/skills/project-specification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Specification in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Project Specification on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Project Specification is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Delegation

For detailed specification writing workflows, this skill delegates to spec-kit:spec-writing as the canonical implementation. Use this skill for quick specification needs; use spec-kit for thorough specification documents.

When To Use

  • After brainstorming phase completes
  • Have project brief but need detailed requirements
  • Need testable acceptance criteria for implementation
  • Planning validation and testing strategy
  • Translating business requirements into technical specs
  • Defining scope boundaries and out-of-scope items

When NOT To Use

  • Still exploring problem space (use Skill(attune:project-brainstorming) instead)
  • Already have detailed specification (use Skill(attune:project-planning) instead)
  • Refining existing implementation (use code review skills)
  • Making strategic decisions (use Skill(attune:war-room) for complex choices)

Integration

With spec-kit:

  • Delegates to Skill(spec-kit:spec-writing) for methodology
  • Uses spec-kit templates and validation
  • Enables clarification workflow

Without spec-kit:

  • Standalone specification framework
  • Requirement templates
  • Acceptance criteria patterns

Documentation Audience

Carry the brief's Doc audience field into the specification, and treat it as a requirement rather than a note: it decides what the project's README, guides, and tutorials may contain. When the brief did not set one, ask, do not guess.

Specify the deep-dive destination alongside it, so extraction has somewhere to go before the first document is written: modules/ for skills, docs/deep-dive/<topic>.md for repo docs. Tier table and cut test: scribe:slop-detector module audience-targeting.md.

Record the Tradeoff (decision journal)

If the specification settled a design decision with real alternatives (a chosen data model, an interface boundary, a constraint accepted), record it to docs/tradeoffs.md before continuing (draft and confirm):

  • If leyline is installed, invoke Skill(leyline:decision-journal) and append a tradeoff entry (the decision, the options weighed, and what was sacrificed; set phase to specify). Show the draft; append on confirmation.
  • Fallback (leyline absent): append to docs/tradeoffs.md using the in-file ENTRY TEMPLATE; assign the next TR-NNN id.

Post-Completion: Workflow Continuation (REQUIRED)

Automatic Trigger: After Quality Checks pass and docs/specification.md is saved, MUST auto-invoke the next phase.

When continuation is invoked:

  1. Verify docs/specification.md exists and is non-empty
  2. Display checkpoint message to user:
    Specification complete. Saved to docs/specification.md.
    Proceeding to planning phase...
  3. Invoke next phase:
    Skill(attune:project-planning)

Bypass Conditions (ONLY skip continuation if ANY true):

  • --standalone flag was provided by the user
  • docs/specification.md does not exist or is empty (phase failed)
  • User explicitly requests to stop after specification

Do NOT prompt the user for confirmation: this is a lightweight checkpoint, not an interactive gate. The user can always interrupt if needed.

Exit Criteria

  • docs/specification.md exists, is non-empty, and passes Quality Checks.
  • Every functional requirement has testable acceptance criteria.
  • The documentation audience tier is stated, carried from the brief or asked for when the brief omitted it.
  • Any design decision with real alternatives is recorded to docs/tradeoffs.md (or there was no meaningful design fork).
  • The next phase is auto-invoked unless a bypass condition holds.

Related Skills

  • Skill(spec-kit:spec-writing) - Spec-kit methodology (if available)
  • Skill(attune:project-brainstorming) - Previous phase
  • Skill(attune:project-planning) - AUTO-INVOKED next phase after specification
  • Skill(attune:mission-orchestrator) - Full lifecycle orchestration

Related Commands

  • /attune:specify - Invoke this skill
  • /attune:specify --clarify - Run clarification workflow
  • /attune:blueprint - Next step in workflow

Examples

See /attune:specify command documentation for complete examples.

Frequently asked questions

What does the Project Specification AI skill do?

Transforms project briefs into testable specifications with user stories and acceptance criteria. Use after brainstorming, before planning.

Why use Project Specification on TypingMind?

Because you install it once and use it with any model. Project Specification is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Project Specification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/attune/skills/project-specification. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Project Specification?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Project Specification?

As many as you like. As long as a model supports skills, you can use Project Specification with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Project Specification AI skill free?

Yes. It is published on GitHub by athola under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇