How do I install the Small AI Prompts skill?

Run npx skillmds@latest add prayceo/small-ai-prompts in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Small AI Prompts safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Small AI Prompts?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Small AI Prompts free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Small AI Prompts?

prayceo (@prayceo) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Small AI Prompts by prayceo — Agent Skill

Name: Small AI Prompts
Author: prayceo

Small AI Prompts

An organized library of 6,500 AI prompts across every business function — desktop-friendly, packed into ~120 files. Use when someone asks for prompt ideas, AI prompt templates, prompt inspiration, or category-specific prompts ("find me a prompt for X", "what's in the prompt library"). Trigger for "AI prompt library", "prompt vault", "prompt for [function]" (marketing, sales, finance, operations, HR, product, strategy, leadership, etc.), "prompt template", "prompt idea", or any request to surface AI prompt examples for a specific business goal.

prayceo Updated Sep 21, 2026

File contents

Small AI Prompts Skill

A compact, desktop-friendly library of 6,500 AI prompts spanning every major business function.

Source Library

The prompts are bundled with this skill at references/ypo-ai-prompts.

Key files:

output/category-index.md — readable list of all categories with prompt counts.
output/category-index.csv — spreadsheet-friendly category index.
output/categories/prompts-NNN.md — packed prompt files. Each file holds several whole categories; its header lists which categories are inside.

Total: 6,500 unique prompts. Each prompt is stored once but keeps its full Categories: tag line — so a search for any category (e.g. "sales") still surfaces every prompt tagged with it, regardless of which file it lives in. Think of it like a library where each book sits on one shelf but the catalog finds it under every subject it covers. (This build packs the prompts into ~120 files to stay within typical app file and size limits; content is identical to the full library.)

Workflow

Clarify the business goal. If it isn't already clear, ask one focused question to nail down: audience, department, channel, job to be done, desired output format. Skip this if context is already clear.
Search the library before drafting from scratch. This library is the first stop, not the last resort.
Use the helper script for targeted search (run from the skill's root folder; it auto-locates the bundled library relative to itself):

python3 scripts/search_ypo_prompts.py --query "customer retention" --limit 8
python3 scripts/search_ypo_prompts.py --category marketing --query "campaign planning" --limit 10
python3 scripts/search_ypo_prompts.py --list-categories marketing

If the script can't run, fall back to grep/ripgrep over references/ypo-ai-prompts/output/categories/*.md for the topic or a Categories: tag.

If a result needs deeper inspection, open the prompt file the script points to.
Synthesize. Pull the strongest prompt ideas for the user's use case. Don't dump raw text unless they ask for the exact original prompts.

Output Rules

Default output:

Lead with the strongest prompt ideas — not a recap of the search.
Rewrite prompts so they fit the user's stated business context.
Preserve useful structure from the source prompts; improve clarity and specificity.
Surface the source category so the user can trace the idea.
Label any new prompt inspired by the library as "adapted" or "new" — never imply it's a verbatim source prompt.
Tie prompts to OKRs / metrics where possible.

Search Guidance

Prefer targeted searches over reading huge files directly. Use --category for a known area, --query for a fuzzy topic, --list-categories for discovery. Avoid loading every prompt file into context — find a small relevant set first.

Quality Check

Before finalizing, verify:

Prompt ideas match the user's stated goal.
Prompts are paste-ready into ChatGPT, Claude, or Gemini.
Variables use clear bracket syntax: [audience], [product], [campaign], [KPI].
Strong prompts are listed first; mediocre ones are pruned, not buffered.

---name: small-ai-promptsdescription: An organized library of 6,500 AI prompts across every business function — desktop-friendly, packed into ~120 files. Use when someone asks for prompt ideas, AI prompt templates, prompt inspiration, or category-specific prompts ("find me a prompt for X", "what's in the prompt library"). Trigger for "AI prompt library", "prompt vault", "prompt for [function]" (marketing, sales, finance, operations, HR, product, strategy, leadership, etc.), "prompt template", "prompt idea", or any request to surface AI prompt examples for a specific business goal.---# Small AI Prompts SkillA compact, desktop-friendly library of 6,500 AI prompts spanning every major business function.## Source LibraryThe prompts are bundled with this skill at `references/ypo-ai-prompts`.Key files:- `output/category-index.md` — readable list of all categories with prompt counts.- `output/category-index.csv` — spreadsheet-friendly category index.- `output/categories/prompts-NNN.md` — packed prompt files. Each file holds several whole categories; its header lists which categories are inside.Total: 6,500 unique prompts. Each prompt is stored once but keeps its full `Categories:` tag line — so a search for any category (e.g. "sales") still surfaces every prompt tagged with it, regardless of which file it lives in. Think of it like a library where each book sits on one shelf but the catalog finds it under every subject it covers. (This build packs the prompts into ~120 files to stay within typical app file and size limits; content is identical to the full library.)## Workflow1. **Clarify the business goal.** If it isn't already clear, ask one focused question to nail down: audience, department, channel, job to be done, desired output format. Skip this if context is already clear.2. **Search the library before drafting from scratch.** This library is the first stop, not the last resort.3. **Use the helper script for targeted search** (run from the skill's root folder; it auto-locates the bundled library relative to itself):```bashpython3 scripts/search_ypo_prompts.py --query "customer retention" --limit 8python3 scripts/search_ypo_prompts.py --category marketing --query "campaign planning" --limit 10python3 scripts/search_ypo_prompts.py --list-categories marketing```If the script can't run, fall back to grep/ripgrep over `references/ypo-ai-prompts/output/categories/*.md` for the topic or a `Categories:` tag.4. **If a result needs deeper inspection,** open the prompt file the script points to.5. **Synthesize.** Pull the strongest prompt ideas for the user's use case. Don't dump raw text unless they ask for the exact original prompts.## Output RulesDefault output:- Lead with the strongest prompt ideas — not a recap of the search.- Rewrite prompts so they fit the user's stated business context.- Preserve useful structure from the source prompts; improve clarity and specificity.- Surface the source category so the user can trace the idea.- Label any new prompt inspired by the library as "adapted" or "new" — never imply it's a verbatim source prompt.- Tie prompts to OKRs / metrics where possible.## Search GuidancePrefer targeted searches over reading huge files directly. Use `--category` for a known area, `--query` for a fuzzy topic, `--list-categories` for discovery. Avoid loading every prompt file into context — find a small relevant set first.## Quality CheckBefore finalizing, verify:- Prompt ideas match the user's stated goal.- Prompts are paste-ready into ChatGPT, Claude, or Gemini.- Variables use clear bracket syntax: `[audience]`, `[product]`, `[campaign]`, `[KPI]`.- Strong prompts are listed first; mediocre ones are pruned, not buffered.

Frequently asked questions