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Feature Handoff

Community
witnesstodark
feature-handoff

Prepare a precise handoff for an agent or developer implementing a feature, continuing a task or reviewing a finished change.

Overview

Publisherwitnesstodark
Repositorymr-mak-workspace
Skill namefeature-handoff
Stars
545
Forks
183
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 witnesstodark on GitHub. Read the source before you install it.

Installation

Install the Feature Handoff 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/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/feature-handoff
  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/witnesstodark/mr-mak-workspace.git /tmp/mr-mak-workspace
mkdir -p .claude/skills
cp -r /tmp/mr-mak-workspace/.agents/skills/feature-handoff .claude/skills/feature-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Feature Handoff 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 Feature Handoff 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 Feature Handoff 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.

Feature handoff

Read the current project files and relevant terminal or report before writing a handoff. Use the evidence currently on disk, not an earlier progress message.

Include the intended behavior, affected files, useful starting points, exact skill paths, known constraints and acceptance checks. For a continuation, add what is already implemented, what remains, current test results and any running process that must not be interrupted. Keep secrets and login material out.

Make ownership clear when several agents are working. Identify files that must not be overwritten. Carry forward accepted choices and unresolved questions. Do not assign the user work that the receiving agent can complete itself.

Separate the source baseline, selected proposal, implemented behavior, agent verification and owner acceptance. A selected mockup is not a shipped feature. For assets, include stable IDs, relevant hashes, local dependency paths and actual event markers. Name the receiving scene or system, and describe how to check it at normal gameplay speed. Leave missing values unresolved rather than turning an example's timing, project names or design taste into requirements.

State who owns shared files and the expected base revision. Re-read shared state before applying the handoff; reconcile changed inputs instead of overwriting another agent's work. Keep the current specification current and put chronological implementation details in a separate log.

For a completed feature, lead with its practical result, then summarize the change and verification. Link the relevant report or artifacts. Distinguish a prepared build from an installed update and a submitted job from a reviewed asset. Read workspace-authoring when the handoff is a Workspace deliverable.

Frequently asked questions

What does the Feature Handoff AI skill do?

Prepare a precise handoff for an agent or developer implementing a feature, continuing a task or reviewing a finished change.

Why use Feature Handoff on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/feature-handoff. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Feature Handoff?

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 Feature Handoff?

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

Is the Feature Handoff AI skill free?

Yes. It is published on GitHub by witnesstodark 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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