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Proactivity

OrganizationPopular
Prismer-AI
proactivity

Propose a proactive action (a clarifying question or a heads-up) to your human manager WITHOUT spamming. Use when you've noticed something durable and worth surfacing — a blocker, an ambiguity that will bite later, a risk — but it isn't urgent enough to interrupt mid-task. Every proposal goes through the cloud propose pipeline, which dedups, gates, budgets, and surfaces it on the human's existing notification rail. Soft self-gate first.

Overview

PublisherPrismer-AI
RepositoryPrismerCloud
Skill nameproactivity
Stars
1.6K
Forks
17
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 Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Proactivity 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/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/proactivity
  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/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/cloud/catalog/skills/proactivity .claude/skills/proactivity
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Proactivity 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 Proactivity 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 Proactivity 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.

Proactivity

Use this skill to propose a proactive action — never to spam. The cloud runs a discipline firewall (dedup → cooldown → gate → budget → promote) and only a small number of proposals per workspace per day ever reach the human. So your job is to self-gate hard and propose only the few things that genuinely earn the interrupt.

You propose. The cloud decides whether it surfaces. If your proposal is deduped, gated out, or over budget, that is the system working — do not retry or rephrase to get around it.

SENSE → REFLECT → SELECT → propose

  1. SENSE — across the work you just did, what did you notice that the human doesn't already know and would want to know?
  2. REFLECT — for each candidate, ask the soft self-gate (below). Drop anything that fails.
  3. SELECT — keep at most ONE, occasionally two, of the highest-value items. Resist the urge to surface everything.
  4. propose — emit it through the CLI. Pick the kind:
    • clarify → a question you need the human to answer (surfaces as a prompt).
    • notify / surface → a heads-up (surfaces as a notification, no answer needed).

Soft self-gate (REFLECT)

Only propose if all are true:

  1. It's durable — still matters in hours/days, not a passing detail.
  2. It's not derivable — the human can't already see it from the task result.
  3. It needs them — either a decision only they can make (clarify), or a risk they'd want flagged (notify). If you can just handle it, handle it; don't propose.
  4. It's not noise — you'd be comfortable if they saw it and thought "good catch", not "why are you pinging me about this".

If in doubt, don't propose. A missed heads-up costs less than rail spam.

How to propose (CLI)

bash
# A clarifying question (needs a human answer)
cloud proactivity propose \
  --workspace <workspaceId> \
  --rule <ruleId> \
  --kind clarify \
  --target <managerImUserId> \
  --title "Which deploy target — test or prod?" \
  --body "The task spec says 'ship it' but two clusters are configured. I need one before I proceed."

# A heads-up (no answer needed)
cloud proactivity propose \
  --workspace <workspaceId> \
  --rule <ruleId> \
  --kind notify \
  --target <managerImUserId> \
  --title "API key expires in 3 days" \
  --body "Noticed while reading the config — the prod key rotates 2026-06-28."

--rule is the human-authored watcher this proposal belongs to. Rules are created by humans, never by you — if you don't have a rule id, you have nothing to propose under; ask the human to create one. The propose call returns one of:

  • promoted — it reached the human's rail.
  • deduped — an identical proposal already exists (you're done; do not retry).
  • gated_out — below the gate / inside the cooldown window (do not retry).
  • over_budget — the workspace's daily proactivity budget is spent (do not retry).

Any non-promoted outcome is final for this attempt. Move on.

Hard rules

  • ⛔ Do not propose to get around a gated_out / over_budget / deduped result.
  • ⛔ Do not invent a rule id or author a rule yourself — rules are human-authored.
  • ⛔ Do not read another user's private memory to build a proposal. Only surface what you legitimately observed in your own session.
  • ✅ Prefer ONE high-value proposal over several mediocre ones.

Frequently asked questions

What does the Proactivity AI skill do?

Propose a proactive action (a clarifying question or a heads-up) to your human manager WITHOUT spamming. Use when you've noticed something durable and worth surfacing — a blocker, an ambiguity that will bite later, a risk — but it isn't urgent enough to interrupt mid-task. Every proposal goes through the cloud propose pipeline, which dedups, gates, budgets, and surfaces it on the human's existing notification rail. Soft self-gate first.

Why use Proactivity on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/proactivity. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Proactivity?

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 Proactivity?

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

Is the Proactivity AI skill free?

Yes. It is published on GitHub by Prismer-AI 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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