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Pi Result Handling

Community
Agents365-ai
pi-result-handling

Internal guidance for presenting Pi helper output back to the user

Overview

PublisherAgents365-ai
Repository365-skills
Skill namepi-result-handling
Stars
99
Forks
16
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 Agents365-ai on GitHub. Read the source before you install it.

Installation

Install the Pi Result Handling 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/Agents365-ai/365-skills/tree/main/plugins/pi-plugin-cc/skills/pi-result-handling
  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/Agents365-ai/365-skills.git /tmp/365-skills
mkdir -p .claude/skills
cp -r /tmp/365-skills/plugins/pi-plugin-cc/skills/pi-result-handling .claude/skills/pi-result-handling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pi Result Handling 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 Pi Result Handling 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 Pi Result Handling 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.

Pi Result Handling

When the helper returns Pi output:

  • Preserve the helper's verdict, summary, findings, and next steps structure.
  • For review output, present findings first and keep them ordered by severity.
  • Use the file paths and line numbers exactly as the helper reports them.
  • Preserve evidence boundaries. If Pi marked something as an inference, uncertainty, or follow-up question, keep that distinction.
  • Preserve output sections when the prompt asked for them, such as observed facts, inferences, open questions, touched files, or next steps.
  • If there are no findings, say that explicitly and keep the residual-risk note brief.
  • If Pi made edits, say so explicitly and list the touched files when the helper provides them.
  • For pi:pi-companion-forwarder, do not turn a failed or incomplete Pi run into a Claude-side implementation attempt. Report the failure and stop.
  • For pi:pi-companion-forwarder, if Pi was never successfully invoked, do not generate a substitute answer at all.
  • CRITICAL: After presenting review findings, STOP. Do not make any code changes. Do not fix any issues. You MUST explicitly ask the user which issues, if any, they want fixed before touching a single file. Auto-applying fixes from a review is strictly forbidden, even if the fix is obvious.
  • If the helper reports malformed output or a failed Pi run, include the most actionable stderr lines and stop there instead of guessing.
  • If the helper reports that setup is required (pi binary missing, no provider configured), direct the user to /pi:setup and do not improvise alternate flows.

Frequently asked questions

What does the Pi Result Handling AI skill do?

Internal guidance for presenting Pi helper output back to the user

Why use Pi Result Handling on TypingMind?

Because you install it once and use it with any model. Pi Result Handling 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 Pi Result Handling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Agents365-ai/365-skills/tree/main/plugins/pi-plugin-cc/skills/pi-result-handling. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pi Result Handling?

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 Pi Result Handling?

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

Is the Pi Result Handling AI skill free?

It is published on GitHub by Agents365-ai. 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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