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Task Management

Community
w95
task-management

Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments.

Overview

Publisherw95
Repositoryawesome-claude-corporate-skills
Skill nametask-management
Stars
270
Forks
55
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 w95 on GitHub. Read the source before you install it.

Installation

Install the Task Management 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/w95/awesome-claude-corporate-skills/tree/main/01-executive-leadership/task-management
  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/w95/awesome-claude-corporate-skills.git /tmp/awesome-claude-corporate-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-corporate-skills/01-executive-leadership/task-management .claude/skills/task-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Task Management 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 Task Management 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 Task Management 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.

Task Management

Tasks are tracked in a simple TASKS.md file that both you and the user can edit.

File Location

Always use TASKS.md in the current working directory.

  • If it exists, read/write to it
  • If it doesn't exist, create it with the template below

Dashboard Setup (First Run)

A visual dashboard is available for managing tasks and memory. On first interaction with tasks:

  1. Check if dashboard.html exists in the current working directory
  2. If not, copy it from ${CLAUDE_PLUGIN_ROOT}/skills/dashboard.html to the current working directory
  3. Inform the user: "I've added the dashboard. Run /productivity:start to set up the full system."

The task board:

  • Reads and writes to the same TASKS.md file
  • Auto-saves changes
  • Watches for external changes (syncs when you edit via CLI)
  • Supports drag-and-drop reordering of tasks and sections

Format & Template

When creating a new TASKS.md, use this exact template (without example tasks):

markdown
# Tasks

## Active

## Waiting On

## Someday

## Done

Task format:

  • - [ ] **Task title** - context, for whom, due date
  • Sub-bullets for additional details
  • Completed: - [x] ~~Task~~ (date)

How to Interact

When user asks "what's on my plate" / "my tasks":

  • Read TASKS.md
  • Summarize Active and Waiting On sections
  • Highlight anything overdue or urgent

When user says "add a task" / "remind me to":

  • Add to Active section with - [ ] **Task** format
  • Include context if provided (who it's for, due date)

When user says "done with X" / "finished X":

  • Find the task
  • Change [ ] to [x]
  • Add strikethrough: ~~task~~
  • Add completion date
  • Move to Done section

When user asks "what am I waiting on":

  • Read the Waiting On section
  • Note how long each item has been waiting

Conventions

  • Bold the task title for scannability
  • Include "for [person]" when it's a commitment to someone
  • Include "due [date]" for deadlines
  • Include "since [date]" for waiting items
  • Sub-bullets for additional context
  • Keep Done section for ~1 week, then clear old items

Extracting Tasks

When summarizing meetings or conversations, offer to add extracted tasks:

  • Commitments the user made ("I'll send that over")
  • Action items assigned to them
  • Follow-ups mentioned

Ask before adding - don't auto-add without confirmation.

Frequently asked questions

What does the Task Management AI skill do?

Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments.

Why use Task Management on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/w95/awesome-claude-corporate-skills/tree/main/01-executive-leadership/task-management. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Task Management?

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 Task Management?

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

Is the Task Management AI skill free?

Yes. It is published on GitHub by w95 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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