Add Task logo

Add Task

OrganizationPopular
NeoLabHQ
add-task

creates draft task file in .specs/tasks/draft/ with original user intent

Overview

PublisherNeoLabHQ
Repositorycontext-engineering-kit
Skill nameadd-task
Stars
1.7K
Forks
159
Bundled files
Instructions only
LicenseGPL-3.0
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 NeoLabHQ on GitHub. Read the source before you install it.

Installation

Install the Add Task 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/NeoLabHQ/context-engineering-kit.git /tmp/context-engineering-kit
mkdir -p .claude/skills
cp -r /tmp/context-engineering-kit/antigravity/skills/add-task .claude/skills/add-task
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Task 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 Add Task 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 Add Task 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.

Create Draft Task File

Role

Your role is to create a draft task file that exactly matches the user's request.

Goal

Create a task file in .specs/tasks/draft/ with:

  • Clear, action-oriented title (verb + specific description)
  • Appropriate type classification (feature/bug/refactor/test/docs/chore/ci)
  • Correct dependencies if any
  • Useful description preserving user intent
  • Correct file name

Input

  • User Input: The task description/title provided by the user (passed as argument)
  • Target Directory: Default is .specs/tasks/draft/

Instructions

1. Ensure Directory Structure

Run the folder creation script to create task directories and configure gitignore:

bash
bash ${CLAUDE_PLUGIN_ROOT}/scripts/create-folders.sh

This creates:

  • .specs/tasks/draft/ - New tasks awaiting analysis
  • .specs/tasks/todo/ - Tasks ready to implement
  • .specs/tasks/in-progress/ - Currently being worked on
  • .specs/tasks/done/ - Completed tasks
  • .specs/scratchpad/ - Temporary working files (gitignored)
  • .specs/analysis/ - Analysis of the task
  • .specs/reports/ - Reports of the task

Fallback: if script not found, or there another issue, create folder structure manually and add .specs/scratchpad/ to .gitignore

2. Analyze Input

  1. Parse the user's request:

    • Extract the core task objective
    • Identify implied type (bug, feature, task)
    • List of task files that this task depends on
  2. Clarify if ambiguous (only if truly unclear):

    • Is this a bug fix or new feature?
    • Any related tasks or dependencies? (if not proided, then assume none)

3. Structure the Task

  1. Create action-oriented title:

    • Start with verb: Add, Fix, Update, Implement, Remove, Refactor
    • Be specific but concise
    • Examples:
      • "Add validation to login form"
      • "Fix null pointer in user service"
      • "Implement caching for API responses"
  2. Determine type:

    TypeUse When
    featureNew functionality or capability
    bugSomething is broken or not working correctly
    refactorCode restructuring without changing behavior
    testAdding or updating tests
    docsDocumentation changes only
    choreMaintenance tasks, dependency updates
    ciCI/CD configuration changes

4. Generate File Name

  1. Create short name from the task title:

    • Lowercase the title
    • Replace spaces with hyphens
    • Remove special characters
    • Keep it concise (3-5 words max)
    • Example: "Add validation to login form" -> add-validation-login-form
  2. Form file name: <short-name>.<issue-type>.md

    • Examples:
      • add-validation-login-form.feature.md
      • fix-null-pointer-user-service.bug.md
      • restructure-auth-module.refactor.md
      • add-unit-tests-api.test.md
      • update-readme.docs.md
      • upgrade-dependencies.chore.md
      • add-github-actions.ci.md
  3. Verify uniqueness: Check .specs/tasks/draft/, .specs/tasks/todo/, .specs/tasks/in-progress/, and .specs/tasks/done/ for existing files with same name

5. Create Task File

Use Write tool to create .specs/tasks/todo/<short-name>.<issue-type>.md:

markdown
---
title: <ACTION-ORIENTED TITLE>
depends_on: <list of task files that this task depends on>
---

## Initial User Prompt

{EXACT user input as provided}

## Description

// Will be filled in future stages by business analyst

Constraints

  • Do NOT invoke the plan skill - the workflow handles subsequent phases
  • Do NOT create files outside .specs/tasks/draft/
  • Do NOT modify existing task files
  • Do NOT write description, only put // ... placeholder as specified in the task file.
  • Do NOT write depends_on section if no dependencies are provided.

Expected Output

Return to the orchestrator:

  1. Task file path: Full path to created file (e.g., .specs/tasks/todo/add-validation-login-form.feature.md)
  2. Generated title: The action-oriented title created
  3. Issue type: task, bug, or feature

Format:

Created task file: .specs/tasks/draft/<name>.<type>.md
Title: <action-oriented title>
Type: <task|bug|feature>
Depends on: <list of task files that this task depends on>

Success Criteria

  • Directories .specs/tasks/draft/, .specs/tasks/todo/, .specs/tasks/in-progress/, .specs/tasks/done/ exist
  • Task file created in .specs/tasks/draft/ with correct naming convention (<name>.<type>.md)
  • File name is unique across all status folders (no overwriting existing files)
  • Depends on section is correct if dependencies are provided
  • Title starts with action verb (Add, Fix, Implement, Update, Remove, Refactor)
  • Type is correctly classified and reflected in file extension (.feature.md, .bug.md, .refactor.md, .test.md, .docs.md, .chore.md, .ci.md)
  • Original user input preserved in "Initial User Prompt" section
  • Description is empty placeholder // Will be filled in future stages by business analyst

Examples

Test task (.specs/tasks/draft/add-unit-tests-auth.test.md):

markdown
---
title: Add unit tests for auth module
---

## Initial User Prompt

add tests for auth

## Description

// Will be filled in future stages by business analyst

Bug with context (.specs/tasks/draft/fix-login-timeout.bug.md):

markdown
---
title: Fix login timeout on slow connections
---

## Initial User Prompt

users getting 504 errors on slow wifi

## Description

// Will be filled in future stages by business analyst

Feature request (.specs/tasks/draft/implement-dark-mode.feature.md):

markdown
---
title: Implement dark mode toggle
---

## Initial User Prompt

add dark mode to settings page

## Description

// Will be filled in future stages by business analyst

Frequently asked questions

What does the Add Task AI skill do?

creates draft task file in .specs/tasks/draft/ with original user intent

Why use Add Task on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeoLabHQ/context-engineering-kit/tree/master/antigravity/skills/add-task. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Task?

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 Add Task?

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

Is the Add Task AI skill free?

Yes. It is published on GitHub by NeoLabHQ under the GPL-3.0 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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