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Project Planning

Community
athola
project-planning

Converts a specification into a phased, dependency-ordered implementation plan. Use after specification is complete and before execution begins.

Overview

Publisherathola
Repositoryclaude-night-market
Skill nameproject-planning
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 Planning 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-planning
  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-planning .claude/skills/project-planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Planning 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 Planning 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 Planning 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 task planning workflows, this skill delegates to spec-kit:task-planning as the canonical implementation. Use this skill for quick planning needs; use spec-kit for thorough project plans.

When To Use

  • After specification phase completes
  • Need to design system architecture
  • Need task breakdown for implementation
  • Planning sprints and resource allocation
  • Converting requirements into concrete tasks
  • Defining component interfaces and dependencies

When NOT To Use

  • No specification exists yet (use Skill(attune:project-specification) first)
  • Still exploring problem space (use Skill(attune:project-brainstorming) instead)
  • Ready to execute existing plan (use Skill(attune:project-execution) instead)
  • Need to adjust running project (update plan incrementally, don't restart)

Integration

With superpowers:

  • Uses Skill(superpowers:writing-plans) for structured planning
  • Applies checkpoint-based execution patterns
  • Uses dependency analysis framework

Without superpowers:

  • Standalone planning methodology
  • Task breakdown templates
  • Dependency tracking patterns

Quality Checks

Before completing plan:

  • ✅ All architecture components documented
  • ✅ File Structure section present before tasks
  • ✅ All task files appear in File Structure table
  • ✅ All FRs mapped to tasks
  • ✅ All tasks have acceptance criteria
  • ✅ Dependencies are acyclic
  • ✅ Effort estimates provided
  • ✅ Critical path identified
  • ✅ Risks assessed with mitigations
  • ✅ Sprints balanced by capacity

Record the Tradeoff (decision journal)

Planning is where architecture and scope decisions get made: the pattern chosen, the dependency accepted, the work deferred. Record each decision that had real alternatives to docs/tradeoffs.md (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 plan). 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/implementation-plan.md is saved, MUST auto-invoke the next phase.

When continuation is invoked:

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

Bypass Conditions (ONLY skip continuation if ANY true):

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

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/implementation-plan.md exists, is non-empty, and passes Quality Checks (acyclic dependencies, FRs mapped, critical path identified).
  • Architecture and scope decisions with alternatives are recorded to docs/tradeoffs.md.
  • The execution phase is auto-invoked unless a bypass condition holds.

Related Skills

  • Skill(superpowers:writing-plans) - Planning methodology (if available)
  • Skill(spec-kit:task-planning) - Task breakdown (if available)
  • Skill(attune:project-specification) - Previous phase
  • Skill(attune:project-execution) - AUTO-INVOKED next phase after planning
  • Skill(attune:mission-orchestrator) - Full lifecycle orchestration

Related Commands

  • /attune:blueprint - Invoke this skill
  • /attune:execute - Next step in workflow

Examples

See /attune:blueprint command documentation for complete examples.

Troubleshooting

Common Issues

If you find circular dependencies in your task graph, break one of the tasks into smaller sub-tasks. If sprint capacity is consistently exceeded, re-estimate tasks using the Fibonacci scale or reduce sprint scope.

Frequently asked questions

What does the Project Planning AI skill do?

Converts a specification into a phased, dependency-ordered implementation plan. Use after specification is complete and before execution begins.

Why use Project Planning on TypingMind?

Because you install it once and use it with any model. Project Planning 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 Planning 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-planning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Project Planning?

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 Planning?

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

Is the Project Planning 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.

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