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Taskflow Inbox Triage

OrganizationPopular
spinabot
taskflow-inbox-triage

Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.

Overview

Publisherspinabot
Repositorybrigade
Skill nametaskflow-inbox-triage
Stars
4.4K
Forks
50
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 spinabot on GitHub. Read the source before you install it.

Installation

Install the Taskflow Inbox Triage 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.
  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/spinabot/brigade.git /tmp/brigade
mkdir -p .claude/skills
cp -r /tmp/brigade/skills/taskflow-inbox-triage .claude/skills/taskflow-inbox-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Taskflow Inbox Triage 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 Taskflow Inbox Triage 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 Taskflow Inbox Triage 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.

TaskFlow inbox triage

This is a concrete example of how to think about TaskFlow without turning the core runtime into a DSL.

Goal

Triage inbox items with one owner flow:

  • business → post to Slack and wait for reply
  • personal → notify the owner now
  • everything else → keep for end-of-day summary

Pattern

  1. Create one flow for the inbox batch.
  2. Run one detached task to classify new items.
  3. Persist the routing state in stateJson.
  4. Move to waiting only when an outside reply is required.
  5. Resume the flow when classification or human input completes.
  6. Finish when the batch has been routed.

Suggested stateJson shape

json
{
  "businessThreads": [],
  "personalItems": [],
  "eodSummary": []
}

Suggested waitJson when blocked on Slack:

json
{
  "kind": "reply",
  "channel": "slack",
  "threadKey": "slack:thread-1"
}

Minimal runtime calls

ts
const taskFlow = api.runtime.tasks.flow.fromToolContext(ctx);

const created = taskFlow.createManaged({
  controllerId: "my-plugin/inbox-triage",
  goal: "triage inbox",
  currentStep: "classify",
  stateJson: {
    businessThreads: [],
    personalItems: [],
    eodSummary: [],
  },
});

const child = taskFlow.runTask({
  flowId: created.flowId,
  runtime: "acp",
  childSessionKey: "agent:main:subagent:classifier",
  task: "Classify inbox messages",
  status: "running",
  startedAt: Date.now(),
  lastEventAt: Date.now(),
});

if (!child.created) {
  throw new Error(child.reason);
}

const waiting = taskFlow.setWaiting({
  flowId: created.flowId,
  expectedRevision: created.revision,
  currentStep: "await_business_reply",
  stateJson: {
    businessThreads: ["slack:thread-1"],
    personalItems: [],
    eodSummary: [],
  },
  waitJson: {
    kind: "reply",
    channel: "slack",
    threadKey: "slack:thread-1",
  },
});

if (!waiting.applied) {
  throw new Error(waiting.code);
}

const resumed = taskFlow.resume({
  flowId: waiting.flow.flowId,
  expectedRevision: waiting.flow.revision,
  status: "running",
  currentStep: "route_items",
  stateJson: waiting.flow.stateJson,
});

if (!resumed.applied) {
  throw new Error(resumed.code);
}

taskFlow.finish({
  flowId: resumed.flow.flowId,
  expectedRevision: resumed.flow.revision,
  stateJson: resumed.flow.stateJson,
});

Related example

  • skills/taskflow/examples/inbox-triage.lobster

Frequently asked questions

What does the Taskflow Inbox Triage AI skill do?

Example TaskFlow authoring pattern for inbox triage. Use when messages need different treatment based on intent, with some routes notifying immediately, some waiting on outside answers, and others rolling into a later summary.

Why use Taskflow Inbox Triage on TypingMind?

Because you install it once and use it with any model. Taskflow Inbox Triage 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 Taskflow Inbox Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spinabot/brigade/tree/main/skills/taskflow-inbox-triage. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Taskflow Inbox Triage?

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 Taskflow Inbox Triage?

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

Is the Taskflow Inbox Triage AI skill free?

Yes. It is published on GitHub by spinabot 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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