anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

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}}.
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}}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.
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.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software and SaaS | Tech leads | Turn bug reports into tasks before an agent takes them | A tech lead turns a customer’s one-line bug report into a brief before giving it to Claude Code |
| Product teams | Product managers who write tickets | Spell out what done looks like for a feature ask | A product manager rewrites a feature request so the agent knows what done looks like |
| Freelance and startups | Solo developers | Leave tomorrow’s work in a shape an agent can start on | A solo developer runs it on a vague note at the end of the day, so the morning session starts with clear checks |
| Agencies and studios | Reviewers of agent work | Hold a pull request against the brief | A 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.
You write the brief in any AI chat, then hand it to whoever does the work.
| The request | What the brief adds |
|---|---|
| A one-line bug report | A place to look and a check that proves the fix |
| A feature ask in a chat | What a user should see once it is done |
| A cleanup or a refactor | An Out of scope list, so the agent stops at the edges |
What you need first:
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.
| You give it | It gives back |
|---|---|
| The request as you got it | Four short parts: Goal, Where, Done when, Out of scope |
| A request missing a key fact | Up to two questions before the brief |
| File names, error text or ticket details | A Where part that points at them, since it can point only at what you mention |
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.
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.
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