Mindket

Coding agent task brief

Newversion 1 · updated

Overview

Turns a rough request into a precise task for Claude Code or any coding agent: goal, files, checks and limits.

Coding agent task brief is an AI prompt skill in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Copy its prompt from this page into any AI chat and put your text where it says {{input}}.

At a glance

You need
  • Where it runs: any AI chat
  • A key: none
  • An install: none
Runs in
  • Any AI chat: where you paste the skill’s prompt and the request
  • Claude Code or Codex: paste the brief as the task
  • Cursor’s agent or GitHub Copilot: the same brief works there
  • A teammate: it reads as a ticket with a test for done

Platform

Any AI chatIts prompt pasted in

The prompt

Turn this request into a task brief for a coding agent. Write four short parts: Goal (one sentence), Where (the files or parts of the code it likely touches), Done when (checks that prove it works: tests, commands, what a user sees), and Out of scope (what to leave alone). Ask at most two questions if something material is missing.

{{input}}

Copy it into any AI chat and put your question or text where it says {{input}}. Get it, and it stays on your Mindket account to copy again.

About

What it is

Coding agent task brief turns a one-line request into a task a coding agent can finish without guessing. Vague tasks are where agents edit the wrong files, stop early or rebuild something nobody asked about. The brief gives the agent a goal, a place to look, a test for done and a list of what to leave alone.

Who it suits

Developers and tech leads who hand work to coding agents, and product people who write tickets for them. Small teams and agencies, where requests arrive as one line in a chat, gain the most.

Who uses it, and how
IndustryWho uses itHow they use itExample
Software and SaaSTech leadsTurn bug reports into tasks before an agent takes themA tech lead turns a customer’s one-line bug report into a brief before giving it to Claude Code
Product teamsProduct managers who write ticketsSpell out what done looks like for a feature askA product manager rewrites a feature request so the agent knows what done looks like
Freelance and startupsSolo developersLeave tomorrow’s work in a shape an agent can start onA solo developer runs it on a vague note at the end of the day, so the morning session starts with clear checks
Agencies and studiosReviewers of agent workHold a pull request against the briefA reviewer checks the agent’s pull request against the Done when list instead of rereading the whole thread

If you already write specs with acceptance criteria, it adds little.

Where to use it

You write the brief in any AI chat, then hand it to whoever does the work.

  • Any AI chat: where you paste the skill’s prompt and the request
  • Claude Code or Codex: paste the brief as the task
  • Cursor’s agent or GitHub Copilot: the same brief works there
  • A teammate: it reads as a ticket with a test for done
Requests it helps with
The requestWhat the brief adds
A one-line bug reportA place to look and a check that proves the fix
A feature ask in a chatWhat a user should see once it is done
A cleanup or a refactorAn Out of scope list, so the agent stops at the edges

How to set it up

What you need first:

  • Where it runs: any AI chat
  • A key: none
  • An install: none
  1. Sign in to Mindket and press Get it on this listing.
  2. In your Mindket account, View shows the prompt to read and copy. This page shows it too.
  3. Keep it where you can paste it again: a saved prompt in your chat app, if it keeps them, or a note.

How to use it

Paste the skill’s prompt into an AI chat, with the request as you got it in place of {{input}}. Answer its questions if it asks any, then paste the brief into your coding agent.

  1. The request as you got it goes in place of {{input}}
  2. The model sorts it into Goal, Where, Done when, Out of scope
  3. It asks at most two questions when a key fact is missing
  4. You paste the brief into your coding agent
What you give it, and what comes back
You give itIt gives back
The request as you got itFour short parts: Goal, Where, Done when, Out of scope
A request missing a key factUp to two questions before the brief
File names, error text or ticket detailsA Where part that points at them, since it can point only at what you mention

Example

A one-line bug report, pasted in place of {{input}} as it came in.

the export button on the reports page times out for big accounts

The brief comes back in four short parts. This is the shape the template sets, with your request’s details where the brackets are.

Goal: <one sentence>
Where: <the files or parts of the code it likely touches>
Done when: <tests, commands, what a user sees>
Out of scope: <what to leave alone>

For this report, a question may come first, such as which export format times out, since that changes where the fix goes.

For newcomers and experts

If you are new. A coding agent is an AI that edits code for you, and it does what it understood, not what you meant. This skill rewrites your request as a short checklist the agent can follow. Start with a small fix you would normally explain out loud. Then read the Done when part and see if it matches what you expect.

For experts. The template forces four parts and allows at most two questions when something material is missing. Done when pays off most, since it gives the agent a stopping condition you can check. Where is a guess from your words, so on a large codebase replace it with real paths before you run the agent. Out of scope is the cheapest guard against an agent that tidies files nobody asked it to touch.

Good to know

  • Where: a guess from your words, not from your repository, so check it before you paste the brief
  • Code: it neither reads nor runs code

What’s new

  • Version 1 · 2026-11-03

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