ChatGPT
chatgptGeneral-purpose ChatGPT prompt. Improves clarity, structure, constraints, and output format while preserving your intent.
Give your AI agents better cues.
Prompt Corner turns rough intent into precise prompts for ChatGPT, Claude Code, Codex, browser agents, research workflows, and more — each compiled with the structure and safety that tool actually needs.
MVP rewrites prompts — it does not execute them. No account needed.
Rough intent
“fix my repo and make it safer”
Agent-ready
claude-code · lint 94
# Rewritten Prompt Role: a careful local coding agent. Working scope: only the paths I name. Process: audit → propose → small diffs. Verify: run non-destructive checks. Report: files, changes, risks.
The same idea, compiled for the claude-code profile — scoped, audit-first, safe, and ready to paste.
Before
fix my repo and make it safer
After — a scoped Claude Code brief
You are operating as a cautious Claude Code repo-audit agent. ## Goal Carry out the following request with a deep, systematic approach: > fix my repo and make it safer Treat this as a local coding / repository task and produce work that is correct, maintainable, and safe to run. Working style: use careful, step-by-step reasoning and share a brief summary of it (never hidden chain-of-thought); balance thoroughness with turnaround. ## Scope - Audit the structure first, then read only the files required to understand it before proposing changes. - Work only inside the current repository or paths the user has explicitly approved. - Do not delete, move, rename, or overwrite files. - Do not modify files until you have completed an audit and listed the proposed changes. - Do not touch secrets, credentials, production config, or unrelated directories. ## Process 1. Inspect the repository structure (tree first). 2. Identify the project type, build system, package manager, and test commands. 3. Read only the files needed to understand the architecture. 4. Produce an audit: high-confidence issues, likely improvements, risky areas, and recommended first changes. 5. Wait for approval before editing files. 6. Verify version-specific, factual, or time-sensitive claims against authoritative sources before relying on them. ## Verification - List any commands before running them; prefer non-destructive ones (lint, typecheck, tests). - If a command fails, summarize the failure and the most likely cause. ## Final report - Files inspected - Issues found and changes recommended - Commands run - Remaining risks
Plus settings used, assumptions, safety notes, verification, and a short version.
A coding agent needs boundaries. A research agent needs citation rules. A browser agent needs an observe-first loop. Prompt Corner compiles the right brief for the right tool — instead of one prompt you hope works everywhere.
A one-line ask leaves a coding agent guessing. Prompt Corner adds explicit working scope, audit-before-edit discipline, and verification so the work is reviewable.
Research workflows need citation rules and freshness checks. The right profile injects them — instead of hoping the model volunteers them.
UI automation needs an observe-first loop and confirmation before irreversible actions. Prompt Corner compiles the brief that matches the tool.
Each profile knows how its tool should behave — and what it should never do.
chatgptGeneral-purpose ChatGPT prompt. Improves clarity, structure, constraints, and output format while preserving your intent.
claude-codeLocal coding / repo / file-agent prompt. Adds explicit working scope, audit-before-edit discipline, verification steps, and a final report.
codexCoding-agent prompt for OpenAI Codex-style workflows. Separates implementation, review, and verification while keeping changes minimal.
browser-agentBrowser / UI automation prompt for Claude in Chrome and similar agents. Observe-first, with confirmation before irreversible actions.
research-agentWeb research prompt with citations. Prefers primary sources, compares publication dates, and separates verified facts from assumptions.
image-promptImage-generation prompt. Specifies subject, composition, style, lighting, constraints, aspect ratio, and exclusions.
Seven controls shape every rewrite — from how assertive the instructions are to how deep research and file access should go. Move a dial; the compiled prompt and its lint scores update with it.
Open the compilerPaste a half-formed line — the messier the better.
Pick the tool: Claude Code, Codex, a browser or research agent, and more.
The profile injects the right guardrails for that target automatically.
Out comes a scoped brief with assumptions, safety notes, and verification.
Copy the brief, grab the short version, or download Markdown / JSON.
Prompt rewriting lives in the browser. Anything that needs to read your local files — repo audits, note vaults, build context — belongs in the future corner CLI and local layer, where access is explicit and stays on your machine.
Hosted web mode never inspects local files. Local file digging is a CLI / local-layer capability — shown here as a teaser, not a hosted feature.
corner rewrite "audit this repo" --target claude-code --local-dig audit-first
Prompt Corner is a text tool. It produces instructions for you to review and run yourself.
The web app only transforms text you paste. Local file digging belongs in the future CLI / local layer, where access is explicit and stays on your machine.
Prompt Corner rewrites instructions, not credentials. Keep API keys, tokens, and private data out of the box.
Every rewrite is text for you to review and run yourself. Prompt Corner never executes a prompt.
Compiled briefs are a strong starting point — read them, adjust scope, and confirm before handing them to an agent.
The web desk is the start. Prompt Corner is built to run as a CLI, a Claude Code Skill, a Codex review workflow, and more — each surface reusing the same compiler core.
Paste a rough line, pick a target, and get an agent-ready brief in seconds.