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Pi Prompting

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Agents365-ai
pi-prompting

Internal guidance for composing prompts that Pi runs (DeepSeek by default) handle reliably for coding, review, diagnosis, and research tasks

Overview

PublisherAgents365-ai
Repository365-skills
Skill namepi-prompting
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 Prompting 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-prompting
  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-prompting .claude/skills/pi-prompting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pi Prompting 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 Prompting 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 Prompting 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 Prompting

Use this skill when pi:pi-companion-forwarder needs to ask Pi for help on a non-trivial coding or investigation task.

Pi runs whatever model the user has configured. By default this plugin targets DeepSeek V4 (Pro for review, Flash for everyday tasks). The guidance below assumes the prompt may run on either a non-reasoning model (Flash) or a reasoning model (Pro). Bias toward concrete, numbered checklists rather than abstract instructions — both model classes follow those reliably.

Core rules:

  • Prefer one clear task per Pi run. Split unrelated asks into separate runs.
  • Tell Pi what done looks like. Do not assume it will infer the desired end state.
  • State explicit grounding rules whenever an unsupported guess would degrade quality.
  • Use stable XML-style tag blocks so the prompt has obvious internal structure.
  • Keep prose short. Prefer numbered checklists over paragraphs for procedural work.

Default prompt recipe:

  • <task>: the concrete job and the relevant repository or failure context. Include file paths.
  • <output_contract> (or <structured_output_contract> for JSON): exact shape, ordering, and brevity requirements.
  • <grounding_rules>: required for review, research, or anything that could drift into unsupported claims.
  • <action_safety>: required for write-capable tasks — name the directories and file kinds Pi may touch.

When to add extra blocks:

  • Coding or debugging: add <completeness_contract> listing what counts as "done" (tests pass, lint clean, files touched).
  • Review or adversarial review: rely on the shipped prompts/adversarial-review.md and prompts/review.md. Do not hand-craft another review prompt.
  • Research or recommendation tasks: add a short <sources> block listing what Pi is allowed to consult.

How to choose prompt shape:

  • Use the built-in /pi:review or /pi:adversarial-review commands when the job is reviewing local git changes. Those prompts already carry the review contract.
  • Use task when the job is diagnosis, planning, research, or implementation and you need to control the prompt more directly.
  • Use task --resume-last for follow-up instructions on the same Pi session. Send only the delta instruction instead of restating the whole prompt unless the direction changed materially.

Working rules:

  • Prefer explicit prompt contracts over vague nudges.
  • Do not raise reasoning (--effort high) by default — DeepSeek Flash will not benefit, and DeepSeek Pro takes longer. Tighten the prompt before escalating effort.
  • For tool-heavy or long-running tasks, ask Pi for brief outcome-based progress updates inside its working notes.
  • Keep claims anchored to observed evidence. If something is a hypothesis, mark it as such.

Prompt assembly checklist:

  1. Define the exact task and scope in <task>.
  2. State the output contract — JSON, bullet list, plain prose — and the maximum length.
  3. Decide whether Pi should keep going on its own judgment or stop for missing high-risk details.
  4. Add <grounding_rules> and <action_safety> only where the task needs them.
  5. Remove redundant instructions before sending the prompt.

Subagent-aware prompting

When pi-subagents is installed:

  • For tasks with parallel workstreams, prepend <available_pi_subagents> block before <task>.
  • Suggested agent routing: scout for exploration, researcher for web/docs, planner for design, worker for implementation, reviewer for code review.
  • Never suggest subagents in adversarial-review or stop-review-gate prompts (those need deterministic behavior).
  • The block is a suggestion, not a command — Pi decides whether to delegate.
  • For dedicated multi-task parallel execution, use /pi:parallel-rescue "task1" "task2" ... instead of manual prompt construction.

Frequently asked questions

What does the Pi Prompting AI skill do?

Internal guidance for composing prompts that Pi runs (DeepSeek by default) handle reliably for coding, review, diagnosis, and research tasks

Why use Pi Prompting on TypingMind?

Because you install it once and use it with any model. Pi Prompting 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 Prompting 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-prompting. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pi Prompting?

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 Prompting?

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

Is the Pi Prompting 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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