1328 hand-tested AI prompts across image, video, and music — each with full context, variables, and a sample output. Content is authored in Traditional Chinese; the UI here is English.
Tell the model that an image 'will be used on a menu,' and it infers the professional requirements of commercial food photography on its own — an underused piece of official guidance rarely taught in Chinese-language content. The prompt builds in a 45-degree menu-style angle, blank space reserved for copy, and texture-detail declarations; it works for both small eateries and delivery-platform product photos.
This doesn't write your resume — it audits one. It flags sentences that read like AI wrote them, uses pointed follow-up questions to force you to back up vague claims with real numbers, then gives a before-and-after rewrite example plus a personal banned-words list. Use it as the last check before you submit.
Nine times out of ten, asking AI for a formula fails because it doesn't know what your table actually looks like. This template gives you a fill-in-the-blanks format for describing your column structure; the formula you get back comes with a step-by-step breakdown, a 5-row mini sample table, and two common gotchas flagged, with both legacy and modern function syntax provided.
Generates the same email in three versions — formal, neutral, and friendly — each with a subject line, followed by a breakdown of "why it's worded this way." Especially useful for high-stakes emails like follow-ups, declines, apologies, and reporting up the chain — firm without burning the bridge.
Turn messy source material like meeting notes and report paragraphs into a slide outline formatted 'one point per page, separated by ---,' ready to paste straight into Gamma or Canva AI to produce a deck. Page titles are forced into statements of insight rather than labels, the conclusion goes on page two, and it comes with a 30-second opening script.
Use this right after any speech-to-text tool: paste the transcript and get a formal record, a list of decisions, an action-item table with "Owner/Deadline/Dependencies," and a 3-line summary for people who missed the meeting. It handles transcription typos and mixed Chinese-English text, flags any deadline that wasn't actually stated as "to be confirmed," and doesn't make things up.
Dump in a raw, whatever-you-jotted-down log of the week and get back a weekly report where results are quantified, blockers come with proposed solutions, and next week's plan is aligned to what your manager actually cares about. Scattered small tasks get merged automatically, slipping progress can't be hidden, and support requests are framed as needs — with an upward-management perspective built in.
Writing a ten-page proposal your manager doesn't have time to read is the real reason most proposals go nowhere. This prompt organizes your idea into a one-page proposal—problem, solution, expected benefit, resources needed, risks—all kept to a single page, and forces the AI to push back and ask you for missing information from a decision-maker's point of view. Good for situations where you need resources, budget, or headcount from a manager or another department.
Reply to a complaint too formally and you fan the flames; reply too submissively and the company ends up compensating for things it shouldn't. This prompt has the AI act as a senior customer service manager: it first assesses the complaint type and severity, then gives you three responses in one go — sincere apology, firm stance, and a middle-ground version — each with a "why it's written this way" note. Ready to use directly by frontline support staff, social media managers, and shop owners.
Cross-team requests most often stall because "the other side has no obligation to help you." This prompt rewrites your request into a letter written from the other person's point of view: leading with the benefit or minimal burden to them, then stating exactly what you need, with a clear deadline and a fallback plan B. Outputs both a formal and a casual version in one pass, suitable for both email and Slack/Teams messages.
A social media manager's daily grind is finding five different ways to talk about the same product. This prompt first has you define your brand voice and no-go topics, then generates a full batch of posts from five distinct angles — pain point, scenario, data, interactive question, and behind-the-scenes — each with hashtags and a suggested posting time, plus built-in rules to strip out that "obviously AI" tone so every post doesn't read like the same canned copy.
A Stop hook that fires a desktop notification and plays a sound the moment Claude Code finishes running. You can freely switch to other windows—the AI will call you back when it's done, no need to keep staring at the terminal.
Two AGENTS.md templates drawn from Ischca/awesome-agents-md (CC0): "minimal" is a five-line checklist you can run with right away, and "advanced" covers five sections — environment, testing, conventions, safety, and example tasks. They let an AI coding agent know the rules the moment it enters your project.
Rewrites awesome-cursorrules' Next.js App Router standard into an AGENTS.md/CLAUDE.md you can drop straight into your project root, so Claude Code, Codex, and Cursor automatically follow Server-Components-first, file-based routing, TypeScript, and performance conventions when writing Next.js.
The AGENTS.md file from the official agents.md standard project itself, demonstrating what a 'minimal but complete' agent rules file looks like — telling AI to use the dev server instead of building during development, restart after dependency changes, and which commands run lint/test/build — with a directly reusable template.
Uses two Markdown templates (create-prd.md and generate-tasks.md) to turn 'dumping a pile of requirements on AI' into a controlled process: first generate a PRD, break it into a checkable task list, then complete one subtask at a time — pausing after each for your go-ahead before continuing.
Uses VoltAgent/awesome-claude-code-subagents (154+ subagents, 10 categories, MIT license) as a curated directory for picking the right subagent and installing it into Claude Code's .claude/agents/ using the standard YAML format.
Borrows the approach from the 40k-star awesome-cursorrules repo to codify 'how to write for a given tech stack' into a project rule file, so Cursor / Claude Code / Codex always produce code in your conventions instead of generic boilerplate.
Has Claude Code scan your repo and produce a tight, verifiable CLAUDE.md project memory file under 200 lines—covering build/test/lint commands, directory structure, conventions, and prohibitions—while routing anything that doesn't belong there into skills or path-scoped rules instead.
Applies the spirit of Plan Mode so Claude Code hands over a structured plan (files affected, steps, risks, acceptance criteria) before touching any file—you review, correct, and approve it before execution begins. Prevents the AI from charging ahead and writing a pile of things you didn't want.
Have the agent interview you about your project, then produce a structured, no-fluff AGENTS.md that spells out build/test commands, code style, commit conventions, and off-limits areas in one shot — auto-loaded every time work starts.
A custom Mandarin wedding entrance song for the couple — warm, grand, and emotionally on point, with a well-paced section structure.
A soothing macro slow-motion product close-up clip, well suited to beauty, food, and texture-driven products.
Turns a selfie into a realistic product photo of a boxed collectible figure — one of Nano Banana's most viral tricks, built on its strongest asset: consistency.