Planning logo

Planning

OrganizationPopular
nimbalyst
planning

Create structured plan documents and track work items using YAML frontmatter. Use when the user wants to plan a feature, track progress, log bugs/tasks/ideas, or organize project work.

Overview

Publishernimbalyst
Repositorynimbalyst
Skill nameplanning
Stars
1.9K
Forks
300
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 nimbalyst on GitHub. Read the source before you install it.

Installation

Install the 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/nimbalyst/nimbalyst/tree/main/packages/extensions/planning/claude-plugin/skills/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/nimbalyst/nimbalyst.git /tmp/nimbalyst
mkdir -p .claude/skills
cp -r /tmp/nimbalyst/packages/extensions/planning/claude-plugin/skills/planning .claude/skills/planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Planning and Tracking System

Nimbalyst uses structured markdown documents with YAML frontmatter for planning and tracking work.

Plan Documents

Plans live in nimbalyst-local/plans/ with YAML frontmatter:

yaml
---
planStatus:
  planId: plan-[unique-identifier]
  title: [Plan Title]
  status: draft
  planType: feature
  priority: medium
  owner: [owner-name]
  stakeholders: []
  tags: []
  created: "YYYY-MM-DD"
  updated: "YYYY-MM-DDTHH:MM:SS.sssZ"
  progress: 0
---

Status Values

  • draft: Initial planning phase
  • ready-for-development: Approved and ready to start
  • in-development: Currently being worked on
  • in-review: Implementation complete, pending review
  • completed: Successfully completed
  • rejected: Plan has been rejected
  • blocked: Progress blocked by dependencies

Plan Types

  • feature: New feature development
  • bug-fix: Bug fix or issue resolution
  • refactor: Code refactoring/improvement
  • system-design: Architecture/design work
  • research: Research/investigation task
  • initiative: Large multi-feature effort
  • improvement: Enhancement to existing feature

Tracking Items

Track bugs, tasks, ideas, and other items in nimbalyst-local/tracker/:

markdown
- [Brief description] #[type][id:[idPrefix]_[ulid] status:[default-status] priority:medium created:YYYY-MM-DD]

CRITICAL: Custom Tracker Types

Before creating any tracker item, always check .nimbalyst/trackers/*.yaml in the workspace root for custom tracker type definitions. Each YAML file defines a tracker type with:

  • type: The type name used in #[type][...] syntax (e.g., devblog-post)
  • idPrefix: The prefix for generated IDs (e.g., dev produces dev_abc123)
  • fields: Available fields including status options with custom values
  • sync: Whether items sync to the team (shared/local/hybrid)

Always use the exact type name from the YAML when creating items. Do not substitute a built-in type when a custom type matches the user's intent.

Built-in Tracker Types

  • bugs.md: Issues and defects (#bug, prefix: bug)
  • tasks.md: Work items and todos (#task, prefix: tsk)
  • ideas.md: Concepts to explore (#idea, prefix: id)
  • decisions.md: Important decisions (#decision, prefix: dec). Not every choice needs one. If the project has a Wiki, follow its "How we write this wiki" page: mark the decision in the page it affects, and add a decision item only when no single page owns it, work hangs off it, it isn't settled, or its reasons don't fit in the mark. Without a Wiki, a decision usually belongs in its plan doc.
  • plans.md: Plans and features (#plan, prefix: pln)

Custom Tracker Types (per-workspace)

Defined in .nimbalyst/trackers/*.yaml. Examples:

  • feature-requests.md (#feature-request, prefix: feat)
  • tech-debt.md (#tech-debt, prefix: debt)
  • devblog-posts.md (#devblog-post, prefix: dev)
  • Any other type defined in the workspace's YAML files

When to Use

  • Creating plans: When user wants to plan a feature, project, or initiative
  • Tracking items: When user mentions bugs, tasks, ideas, or wants to log something
  • Progress updates: When completing work, update plan status and progress
  • Implementation: Use /implement to execute a plan with progress tracking
  • Board cleanup: Use /session-cleanup to tidy the Sessions board -- fix session phases, mark finished work complete, and flag old sessions to archive
  • Getting more from Nimbalyst: Use /planning:nimbalyst-coach to review this project and recent sessions and suggest extensions, features, and agent-instruction changes

File Naming

  • Plans: nimbalyst-local/plans/[descriptive-name].md (kebab-case)
  • Trackers: nimbalyst-local/tracker/[type]s.md (pluralize the type name)

Best Practices

  • Always check .nimbalyst/trackers/ for custom types before using built-in types
  • Keep plans focused on a single objective
  • Update progress regularly as work proceeds
  • Use appropriate priorities (low, medium, high, critical)
  • Link related plans and tracker items
  • Include stakeholders who need visibility

Frequently asked questions

What does the Planning AI skill do?

Create structured plan documents and track work items using YAML frontmatter. Use when the user wants to plan a feature, track progress, log bugs/tasks/ideas, or organize project work.

Why use Planning on TypingMind?

Because you install it once and use it with any model. 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 Planning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nimbalyst/nimbalyst/tree/main/packages/extensions/planning/claude-plugin/skills/planning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Planning?

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

Is the Planning AI skill free?

Yes. It is published on GitHub by nimbalyst 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 👇