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Sprint Plan

Community
faizkhairi
sprint-plan

MUST use when user describes a multi-step feature to build, says 'let's build', 'new project', 'let's implement', or when a task clearly requires more than 3 steps and no plan exists yet. Do NOT trigger for simple additions like adding a comment, renaming a variable, or single-file changes. Produces: task breakdown with S/M/L/XL size estimates, dependency ordering, risk analysis, and a Definition of Done checklist; output is a structured markdown plan ready for implementation.

Overview

Publisherfaizkhairi
Repositoryclaude-code-blueprint
Skill namesprint-plan
Stars
73
Forks
22
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 faizkhairi on GitHub. Read the source before you install it.

Installation

Install the Sprint Plan 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/faizkhairi/claude-code-blueprint/tree/main/skills/sprint-plan
  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/faizkhairi/claude-code-blueprint.git /tmp/claude-code-blueprint
mkdir -p .claude/skills
cp -r /tmp/claude-code-blueprint/skills/sprint-plan .claude/skills/sprint-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sprint Plan 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 Sprint Plan 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 Sprint Plan 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.

Create a sprint plan for: $ARGUMENTS

  1. Analyze the requirement: Understand scope, constraints, dependencies
  2. Check existing code: Search codebase for related implementations that can be reused
  3. Break into tasks:
    • Each task should be independently deliverable
    • Include file paths that will be modified or created
    • Estimate size: S (< 1hr), M (1-4hr), L (4-8hr), XL (> 1 day)
  4. Sequence tasks: Identify dependencies, mark blocking tasks, find parallelizable work
  5. Identify risks: What could go wrong? What needs clarification?
  6. Output format:

Sprint Plan: [Feature Name]

Tasks

#TaskSizeDepends OnFiles
1...S-path/to/file

Risks

  • [Risk description and mitigation]

Definition of Done

  • All tasks completed
  • Tests written and passing
  • Code reviewed
  • Documentation updated
  • No security vulnerabilities introduced

Frequently asked questions

What does the Sprint Plan AI skill do?

MUST use when user describes a multi-step feature to build, says 'let's build', 'new project', 'let's implement', or when a task clearly requires more than 3 steps and no plan exists yet. Do NOT trigger for simple additions like adding a comment, renaming a variable, or single-file changes. Produces: task breakdown with S/M/L/XL size estimates, dependency ordering, risk analysis, and a Definition of Done checklist; output is a structured markdown plan ready for implementation.

Why use Sprint Plan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/faizkhairi/claude-code-blueprint/tree/main/skills/sprint-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sprint Plan?

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 Sprint Plan?

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

Is the Sprint Plan AI skill free?

Yes. It is published on GitHub by faizkhairi 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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