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Board

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tashfeenahmed
board

Manage the task board - view, create, move, prioritize, and track work items

Overview

Publishertashfeenahmed
Repositoryscallopbot
Skill nameboard
Stars
56
Forks
9
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Board 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/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/board
  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/tashfeenahmed/scallopbot.git /tmp/scallopbot
mkdir -p .claude/skills
cp -r /tmp/scallopbot/src/skills/bundled/board .claude/skills/board
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Board 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 Board 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 Board 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.

Board Skill

Unified kanban task board that replaces the reminder and progress skills.

Columns

  • inbox: Untriaged items (agent-created proactive triggers)
  • backlog: Triaged, not yet scheduled
  • scheduled: Has a trigger time, waiting to fire
  • in_progress: Being worked on
  • waiting: Blocked on something
  • done: Completed
  • archived: Dismissed/expired/old done

Actions

  • view: Show the board. Optional filters: column, priority, label
  • add: Create a new item. Required: title. Optional: kind, trigger_time, priority, labels, goal_id, task_config, recurring
  • move: Move item to a column. Required: item_id, status (target column)
  • update: Edit an item. Required: item_id. Optional: title, priority, labels, trigger_time, kind
  • done: Mark complete. Required: item_id. Optional: result (completion note)
  • archive: Dismiss/archive an item. Required: item_id
  • detail: Show full item detail, including durable worker/attempt/lease/error state and result cost. Required: item_id
  • snooze: Reschedule trigger time. Required: item_id, time

Priority Levels

urgent > high > medium (default) > low

Item Kinds

  • nudge: A pre-written message/reminder delivered verbatim to the user. The title must address them directly.
  • task: Sub-agent work that runs autonomously under a durable lease with heartbeats and bounded retries, then stores its result. Put internal instructions in task_config.goal, not in a nudge.

User-facing nudge text

For a scheduled nudge, title is the exact notification text. Never store a plan for what the bot should say.

  • BAD: Daily check-in with Sam - ask about priorities and deadlines
  • GOOD: Hey Sam, what are your priorities and deadlines today? How are things going?
  • BAD: Send the user a reminder to take their medication
  • GOOD: Quick reminder to take your medication.

If the bot must gather data or perform work before messaging, use kind: "task" and put the work in task_config.goal.

Recurring vs one-off

The system supports both. Pick the right one:

  • One-off: use trigger_time — e.g. "remind me tomorrow at 9am" → trigger_time: "tomorrow 9am". Fires once, then done.
  • Recurring: use the recurring object — e.g. "remind me every day at 8am" → recurring: {"type":"daily","hour":8,"minute":0}. Automatically re-fires on each next occurrence forever until the user archives it.

If the user says any of these, they want recurring (never trigger_time):

User saysUse
"every day at 8am" / "daily at 8am"recurring: {"type":"daily","hour":8,"minute":0}
"every Monday at 9am"recurring: {"type":"weekly","hour":9,"minute":0,"dayOfWeek":1}
"every weekday at 9am" / "weekdays at 9am"recurring: {"type":"weekdays","hour":9,"minute":0}
"every weekend at 10am" / "weekends at 10am"recurring: {"type":"weekends","hour":10,"minute":0}

dayOfWeek: 0=Sun, 1=Mon, 2=Tue, 3=Wed, 4=Thu, 5=Fri, 6=Sat.

hour is 24h: 8am=8, noon=12, 2pm=14, 8pm=20.

Never put "every day at 8am" as a string into trigger_time — use the recurring object.

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 Board AI skill do?

Manage the task board - view, create, move, prioritize, and track work items

Why use Board on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tashfeenahmed/scallopbot/tree/main/src/skills/bundled/board. 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 Board?

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 Board?

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

Is the Board AI skill free?

Yes. It is published on GitHub by tashfeenahmed 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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