Refine Task

OrganizationPopular

hashgraph-online

refine-task

Refine an existing Agiflow task into an unambiguous, testable specification without expanding its intended outcome. Use when a task is vague, lacks acceptance criteria, has unclear scope or dependencies, or is not ready for backlog grooming.

Overview

Publisher	hashgraph-online
Repository	`awesome-codex-plugins`
Skill name	`refine-task`
Stars	1.3K
Forks	360
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 hashgraph-online on GitHub. Read the source before you install it.

Installation

Install the Refine Task AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/AgiFlow/ai-plugin/skills/refine-task
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/AgiFlow/ai-plugin/skills/refine-task

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/hashgraph-online/awesome-codex-plugins.git /tmp/awesome-codex-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-codex-plugins/plugins/AgiFlow/ai-plugin/skills/refine-task .claude/skills/refine-task

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Refine 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 Refine 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 Refine 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.

Agiflow Refine Task

Make the selected task ready for confident execution while preserving its original intent.

Workflow

Resolve the task with get_current_scope, list_projects, list_tasks, or get_task as needed.
Call get_task for full details and list_task_comments when prior decisions may affect scope.
Call list_project_statuses and list_members only when status or assignment context is relevant.
Evaluate the task for:
- Clear user or business outcome
- Concrete scope boundaries
- Objective acceptance criteria
- Known dependencies and blockers
- Appropriate priority and assignee
- Enough context to complete without guessing
Ask focused clarification questions for unresolved decisions. Do not invent requirements.
Draft the refined title, description, acceptance criteria, scope boundaries, and dependency notes.
Show the proposed changes and request approval.
After approval, call update_task with only the fields that need to change.
Call get_task again to verify the saved result.

Quality Test

Acceptance criteria must be specific, measurable, achievable within the task, relevant to its outcome, and directly verifiable. Replace phrases such as "works correctly" or "handles errors" with observable behavior.

Guardrails

Do not add new product requirements during refinement.
Do not move the task from Planning to Todo. Backlog grooming owns that transition.
Do not delete the task.
Preserve useful existing context and comments.

Response

Summarize what changed, which ambiguities were resolved, and whether the task is ready for backlog-grooming.

Frequently asked questions

What does the Refine Task AI skill do?

Why use Refine Task on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/AgiFlow/ai-plugin/skills/refine-task. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Refine 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 Refine Task?

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

Is the Refine Task AI skill free?

Yes. It is published on GitHub by hashgraph-online under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Agiflow Refine Task

Workflow

Quality Test

Guardrails

Response

Frequently asked questions

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