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Create Tasks

Community
NTCoding
create-tasks

Creates well-formed tasks following a template that engineers can implement. Triggers on: 'create tasks', 'define work items', 'break this down', creating tasks from PRD, converting requirements into actionable tasks, feature breakdown, sprint planning.

Overview

PublisherNTCoding
Repositoryclaude-skillz
Skill namecreate-tasks
Stars
356
Forks
47
Bundled files
Instructions only
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 NTCoding on GitHub. Read the source before you install it.

Installation

Install the Create Tasks 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/NTCoding/claude-skillz/tree/main/create-tasks
  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/NTCoding/claude-skillz.git /tmp/claude-skillz
mkdir -p .claude/skills
cp -r /tmp/claude-skillz/create-tasks .claude/skills/create-tasks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Tasks 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 Create Tasks 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 Create Tasks 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 Tasks

Creates well-formed tasks that provide large amounts of contexts so that engineers that weren't in conversations can implement the task without any prior knowledge and without asking questions.

Tasks should be created using the tools and documentation conventions in the project the skills is being applied to. If the conventions are not clear, ask the user to clarify and then document them.

What Engineers Need

Every task must provide:

  • What they're building (deliverable)
  • Why it matters (context)
  • Key decisions and principles they must follow
  • Acceptance criteria
  • Dependencies
  • Related code/patterns
  • How to verify it works

Before Creating Tasks: Slice First

🚨 NEVER create a task without validating its size first. A PRD deliverable is NOT automatically a task—it may be an epic that needs splitting.

Example Mapping Discovery

🚨 Never copy PRD bullets verbatim. Use Example Mapping to transform them into executable specifications.

CardWhat You Do
🟡 StoryState the deliverable in one specific sentence
🔵 RulesList every business rule/constraint (3-4 max per task)
🟢 ExamplesFor EACH rule: happy path + edge cases + error cases
🔴 QuestionsSurface unknowns → resolve or spike first

The Examples (🟢) ARE your acceptance criteria. Write them in Given-When-Then format:

Given [context/precondition]
When [action/trigger]
Then [expected outcome]

Edge case checklist — for each rule, systematically consider:

CategoryCheck For
InputEmpty, null, whitespace, boundaries, invalid format, special chars, unicode, too long
StateConcurrent updates, race conditions, invalid sequences, already exists, doesn't exist
ErrorsNetwork failure, timeout, partial failure, invalid permissions, quota exceeded

Example: PRD says "User can search products"

Rules identified: (1) Search by title, (2) Pagination, (3) Empty state

For Rule 1 alone, edge case thinking yields:

  • Given products exist → When search → Then results (happy path)
  • Given no matches → When search → Then empty set
  • Given empty search term → When submit → Then validation error OR all products? (🔴 Question!)
  • Given special chars in search → When search → Then handled safely

Splitting Signals (Task Too Big)

If ANY of these are true, STOP and split:

  • ❌ Can't describe in a specific, action-oriented title
  • ❌ Would take more than 1 day
  • ❌ Title requires "and" or lists multiple things
  • ❌ Has multiple clusters of acceptance criteria
  • ❌ Cuts horizontally (all DB, then all API, then all UI)
  • ❌ PRD calls it "full implementation" or "complete system"

SPIDR Splitting Techniques

When you need to split, use these techniques:

TechniqueSplit ByExample
PathsDifferent user flows"Pay with card" vs "Pay with PayPal"
InterfacesDifferent UIs/platforms"Desktop search" vs "Mobile search"
DataDifferent data types"Upload images" vs "Upload videos"
RulesDifferent business rules"Basic validation" vs "Premium validation"
SpikesUnknown areas"Research payment APIs" before "Implement payments"

Vertical Slices Only

Every task must be a vertical slice—cutting through all layers needed for ONE specific thing:

✅ VERTICAL (correct):
"Add search by title" → touches UI + API + DB for ONE search type

❌ HORIZONTAL (wrong):
"Build search UI" → "Build search API" → "Build search DB"

Task Naming

Formula

[Action verb] [specific object] [outcome/constraint]

Good Names

  • "Add price range filter to product search"
  • "Implement POST /api/users endpoint with email validation"
  • "Display product recommendations on home page"
  • "Enable CSV export for transaction history"
  • "Validate required fields on checkout form"

Rejected Patterns

🚨 NEVER use these—they signal an epic, not a task:

PatternWhy It's Wrong
"Full implementation of X"Epic masquerading as task
"Build the X system"Too vague, no specific deliverable
"Complete X feature"Undefined scope
"Implement X" (alone)Missing specificity
"X and Y"Two tasks combined
"Set up X infrastructure"Horizontal slice

If you catch yourself writing one of these, STOP and apply SPIDR.

Task Size Validation (INVEST)

Every task MUST pass INVEST before creation:

CriterionQuestionFail = Split
IndependentDoes it deliver value alone?Depends on other incomplete tasks
NegotiableCan scope be discussed?Rigid, all-or-nothing
ValuableDoes user/stakeholder see benefit?Only technical benefit
EstimableCan you size it confidently?"Uh... maybe 3 days?"
SmallFits in 1 day?More than 1 day
TestableHas concrete acceptance criteria?Vague or missing criteria

Hard Limits

  • Max 1 day of work — if longer, split it
  • Must be vertical — touches all layers for ONE thing
  • Must be demoable — when done, you can show it working

Task Template

markdown
## Deliverable: [What user/stakeholder sees]

### Context
[Where this came from and why it matters. PRD reference, bug report, conversation summary—whatever helps engineer understand WHY. You MUST provide the specific file path or URL for any referenced files like a PRD of bug report - don't assume the engineer knows where things are stored]

### Key Decisions and principles
- [Decision/Principle] — [rationale]

### Delivers
[Specific outcome in user terms]

### Acceptance Criteria
- Given [context] When [action] Then [outcome]

### Dependencies
- [What must exist first]

### Related Code
- `path/to/file` — [what pattern/code to use]

### Verification
[Specific commands/tests that prove it works]

Process

  1. Slice first — Apply Example Mapping. If task has >3-4 rules or fails splitting signals, use SPIDR to break it down.
  2. Discover acceptance criteria — For each rule: generate happy path, edge cases, error cases using the checklist. Write as Given-When-Then. Surface questions.
  3. Name it — Write a specific, action-oriented title. If you can't, the task isn't clear enough.
  4. Validate size — Must pass INVEST. Max 1 day. Must be vertical slice.
  5. Gather context (from PRD, conversation, bug report, etc.)
  6. Identify key decisions that affect implementation
  7. Find related code/patterns in the codebase
  8. Specify verification commands
  9. Output task using template

Checkpoint

Before finalizing any task, verify ALL of these:

CheckQuestionIf No
SizeIs this ≤1 day of work?Split using SPIDR
NameIs the title specific and action-oriented?Rewrite using formula
VerticalDoes it cut through all layers for ONE thing?Restructure as vertical slice
INVESTDoes it pass all 6 criteria?Fix the failing criterion
ContextCan an engineer implement without asking questions?Add what's missing

🚨 If the PRD says "full implementation" or similar, you MUST split it. Creating such a task is a critical failure.

Frequently asked questions

What does the Create Tasks AI skill do?

Creates well-formed tasks following a template that engineers can implement. Triggers on: 'create tasks', 'define work items', 'break this down', creating tasks from PRD, converting requirements into actionable tasks, feature breakdown, sprint planning.

Why use Create Tasks on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NTCoding/claude-skillz/tree/main/create-tasks. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Tasks?

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 Create Tasks?

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

Is the Create Tasks AI skill free?

It is published on GitHub by NTCoding. Check the repository for licensing terms. 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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