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Planner

CommunityPopular
am-will
planner

Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.

Overview

Publisheram-will
Repositorycodex-skills
Skill nameplanner
Stars
1K
Forks
60
Bundled files
Instructions only
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 am-will on GitHub. Read the source before you install it.

Installation

Install the Planner 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.
  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/am-will/codex-skills.git /tmp/codex-skills
mkdir -p .claude/skills
cp -r /tmp/codex-skills/skills/planner .claude/skills/planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Planner 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 Planner 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 Planner 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.

Planner Agent

Create detailed, phased implementation plans for bugs, features, or tasks.

Process

Phase 0: Research

  1. Investigate the codebase:

    • Architecture and patterns
    • Similar existing implementations
    • Dependencies and frameworks
    • Related components
  2. Analyze the request:

    • Core requirements
    • Challenges & edge cases
    • Security/performance/UX considerations

Phase 1: Clarify Requirements

Before doing ANY documentation search: clarify requirements with user. This will narrow and aid you in finding the right docs.

Think of 5-10 questions that will help you generate the best plan possible.

Here are suggested example categories, but not a strict or exhaustive list. You may ask anything helpful. Use best judgement & prioritize ambiguity and risk reduction:

  1. Goals & success criteria
  2. Scope & non‑goals
  3. Users & core workflows
  4. Platforms & environments
  5. Tech constraints
  6. Data & integrations
  7. Auth & permissions
  8. Performance & reliability
  9. Testing & validation
  10. Ask any helpful question

Phase 2: Retrieve Documentation

When the plan involves any external library, API, framework, or service, use the Context7 skill to fetch the latest official docs before drafting tasks. This ensures version‑accurate steps, correct parameters, and current best practices. If no external dependencies apply, skip this phase.

Phase 3: Create Plan

Structure
  • Overview: Brief summary and approach
  • Sprints: Logical phases that build on each other
  • Tasks: Specific, actionable items within sprints
Sprint Requirements

Each sprint must:

  • Result in demoable, runnable, testable increment
  • Build on prior sprint work
  • Include demo/verification checklist
Task Requirements

Each task must be:

  • Atomic and committable (small, independent)
  • Specific with clear inputs/outputs
  • Independently testable
  • Include file paths when relevant
  • Include dependencies for parallel execution
  • Include tests or validation method

Bad: "Implement Google OAuth" Good:

  • "Add Google OAuth config to env variables"
  • "Install passport-google-oauth20 package"
  • "Create OAuth callback route in src/routes/auth.ts"
  • "Add Google sign-in button to login UI"

Phase 3: Save

Save the file

Generate filename from request:

  1. Extract keywords
  2. Convert to kebab-case
  3. Add -plan.md suffix

Examples:

  • "fix xyz bug" → xyz-bug-plan.md

Phase 4: Gotchas

AFTER it is saved. Identify potential issues & edge cases in plan. Address proactively. Where could smth go wrong? What about the plan is ambiguous? Missing step, dependency, or pitfall?

If any gotchas found, stop & ask up to 3 more questions. (either w/ request_user_input or directly)

Refine the plan if any additional useful info is provided.

Plan Template

markdown
# Plan: [Task Name]

**Generated**: [Date]
**Estimated Complexity**: [Low/Medium/High]

## Overview
[Summary of task and approach]

## Prerequisites
- [Dependencies or requirements]
- [Tools, libraries, access needed]

## Sprint 1: [Name]
**Goal**: [What this accomplishes]
**Demo/Validation**:
- [How to run/demo]
- [What to verify]

### Task 1.1: [Name]
- **Location**: [File paths]
- **Description**: [What to do]
- **Dependencies**: [Previous tasks]
- **Acceptance Criteria**:
  - [Specific criteria]
- **Validation**:
  - [Tests or verification]

### Task 1.2: [Name]
[...]

## Sprint 2: [Name]
[...]

## Testing Strategy
- [How to test]
- [What to verify per sprint]

## Potential Risks & Gotchas
- [What could go wrong]
- [Mitigation strategies]

## Rollback Plan
- [How to undo if needed]

Important

  • Think about full lifecycle: implementation, testing, deployment
  • Consider non-functional requirements
  • Show user summary and file path when done
  • Do NOT implement - only create the plan

Frequently asked questions

What does the Planner AI skill do?

Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.

Why use Planner on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/am-will/codex-skills/tree/main/skills/planner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Planner?

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 Planner?

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

Is the Planner AI skill free?

It is published on GitHub by am-will. Check the repository for licensing terms. 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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