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Rpi

OrganizationPopular
humanlayer
rpi

Only use when the user explicitly invokes this skill by name.

Overview

Publisherhumanlayer
Repositoryskills
Skill namerpi
Stars
5.2K
Forks
170
Bundled files
51
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.

  • 51 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by humanlayer on GitHub. Read the source before you install it.

Installation

Install the Rpi 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/humanlayer/skills/tree/main/plugins/rpi/skills/rpi
  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/humanlayer/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/rpi/skills/rpi .claude/skills/rpi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rpi 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 Rpi 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 Rpi 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.

Research, Design, and Implement

Help the user research a change, work through its design, and implement it. Follow their requested step, using the phase instructions below.

$SKILLBASE means the directory containing this SKILL.md.

<rpi-invocation> in templates means the host's skill command: $rpi in Codex, /rpi in Claude Code, or its plugin-qualified name when the host exposes one. Render next commands with that native invocation.

Choose the Step

Follow the user's requested step. Read $SKILLBASE/references/workflow.md when choosing or explaining a flow or what comes next.

For a task description with no requested step, start with research questions. Ask which flow the user wants: research followed by design discussion, PRD, or TDD, or research only. Wait for their choice before starting the phase, then carry it into suggested next commands.

When asking the user to choose a flow, read $SKILLBASE/references/workflow-choice.md and show its box-and-line chart with the question.

Create writes a new document; iterate updates an existing document in place using the user's feedback or resumes the workflow for a partially finished document.

Load the matching process from $SKILLBASE/references/<step>/process.md:

RequestStep
Research questionscreate-research-questions or iterate-research-questions
Researchcreate-research or iterate-research
Design discussioncreate-design-discussion or iterate-design-discussion
Product requirements / PRDcreate-prd or iterate-prd
Technical design / TDDcreate-tdd or iterate-tdd
Implementation outlinecreate-structure-outline or iterate-structure-outline
Implementimplement-outline
Implementation feedback or fixesiterate-implementation

Update an existing document by default; create one when needed or requested. When several match, use the newest and name the chosen file.

Use the Task Directory

Use the directory supplied by the user.

Otherwise, look for existing task directories in .agents/artifacts/ whose names and workflow filenames match the request or current task branch. Reuse an obvious match without asking. If a directory looks close but could belong to a different task, or several directories look plausible, ask the user which to use before writing. Read only documents allowed by the selected phase when checking a match.

When no existing directory fits, use .agents/artifacts/<branch-name> with / replaced by - if the branch identifies the task. On main, or when no branch identifies the task, choose a short kebab-case slug from the request and use .agents/artifacts/<task-slug> without asking for approval. State the selected path and reuse or create the directory as needed.

Save at the selected path. If the sandbox blocks writes there, ask for scoped write access or a writable task directory and wait for the user's choice.

The RPI framework authors recommend not committing the artifacts.

Number new workflow documents using the next available NN- prefix in the task directory. Keep the existing path when updating a document. Save supporting mockups and diagrams beside the documents and link them as ordinary local files.

Workflow document frontmatter includes repos, a list of zero or more repositories with identifier and sha for each entry. Use repos: [] when none apply. Quote string values as needed for valid YAML.

Suggest the Next Step

Use the phase's handoff instructions and $SKILLBASE/references/workflow.md to choose what comes next. Users run each phase in a separate context window by default. When suggesting a next command, include the task directory and chosen flow. Say they can run it here, after compaction, or in a new session.

Use artifact filenames to locate the current phase when asked what's next, then read its document for unfinished work and settled choices. Recognize prd or product-requirements, tdd or tech-design, and structure-outline or outline.

Use Subagents

Use the bundled agent instructions for codebase-locator, codebase-analyzer, codebase-pattern-finder, web-search-researcher, and outline-implementer-agent as directed by each phase.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Rpi AI skill do?

Only use when the user explicitly invokes this skill by name.

Why use Rpi on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/humanlayer/skills/tree/main/plugins/rpi/skills/rpi. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Rpi?

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 Rpi?

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

Is the Rpi AI skill free?

Yes. It is published on GitHub by humanlayer 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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