Prompt Engine
AgriciDaniel/claude-prompts
Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram…
Master prompt engineering for AI models: LLMs, image generators, video models.
Install Prompt Engineering
$ npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NeverSight/learn-skills.dev prompt-engineering --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data/skills-md/101-skills/skills/prompt-engineering .claude/skills/prompt-engineering && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prompt-engineering" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/prompt-engineering into .claude/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/prompt-engineeringType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NeverSight/learn-skills.dev prompt-engineering --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data/skills-md/101-skills/skills/prompt-engineering .agents/skills/prompt-engineering && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/prompt-engineering into .agents/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NeverSight/learn-skills.dev prompt-engineering --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data/skills-md/101-skills/skills/prompt-engineering .cursor/skills/prompt-engineering && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prompt-engineering" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/prompt-engineering into .cursor/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NeverSight/learn-skills.dev.git --path data/skills-md/101-skills/skills/prompt-engineering--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NeverSight/learn-skills.dev prompt-engineering --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data/skills-md/101-skills/skills/prompt-engineering .gemini/skills/prompt-engineering && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/prompt-engineering into .gemini/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NeverSight/learn-skills.dev prompt-engineeringInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .github/skills && cp -r skills-src/data/skills-md/101-skills/skills/prompt-engineering .github/skills/prompt-engineering && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/prompt-engineering into .github/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NeverSight/learn-skills.dev prompt-engineering --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NeverSight/learn-skills.dev.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data/skills-md/101-skills/skills/prompt-engineering .opencode/skills/prompt-engineering && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/101-skills/skills/prompt-engineering into .opencode/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prompt-engineering- GitHub stars
- 216
- Used in
- 1 other repo
- Token cost
- ~2.4k tokens
- SKILL.md length
- 202 words
- Files
- 13
- Skills in repo
- 43
- Repo updated
- First seen
- Licence
- None found
At a glance
Master prompt engineering for AI models: LLMs, image generators, video models.
- : better AI outputs
- SKILL.md covers Quick Start, LLM Prompting, Image Generation Prompting and Video Prompting, plus 2 more sections
- Calls npx
- Consistent results
What it does
Prompt Engineering is an agent skill from NeverSight/learn-skills.dev. Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts. Models: Claude, GPT-4, Gemini, FLUX, Veo, Stable Diffusion prompting. Use for: better AI outputs, consistent results, complex tasks, optimization. Triggers: prompt engineering, how to prompt, better prompts, prompt tips, prompting guide, llm prompting, image prompt, ai prompting, prompt optimization, prompt template, prompt structure, effective prompts, prompt…
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files (for example `stats.json`).
It sits in AI & LLM Engineering, covering Prompt engineering. It works with Stable Diffusion. The repository describes itself as: Curated high-quality AI Agent Skills. Search, install, copy and share. Works with Claude Code, Cursor, OpenClaw, and other AI coding tools.
When your agent uses it
- : better AI outputs
- Consistent results
Example prompts
- “/prompt-engineering”
Requirements
- Python 3
- Node.js
- Pre-approved tools (allowed-tools): Bash(belt *)
What it can do on your machine
Read from SKILL.md and the folder at commit 08f9d22. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(belt *)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
inference.shcloud.inference.shraw.githubusercontent.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prompt Engineering loads about 2.4k tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 202 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 202 words (~2,439 tokens).
“Master prompt engineering for AI models via inference.sh CLI.”
- name
- prompt-engineering
- allowed-tools
- Bash(belt *)
Files
SKILL.md and 12 other files in data/skills-md/101-skills/skills/prompt-engineering of NeverSight/learn-skills.dev.
- SKILL.md
- description_ar.txt
- description_cn.txt
- description_de.txt
- description_en.txt
- description_es.txt
- description_fr.txt
- description_it.txt
- description_ja.txt
- description_ko.txt
- description_ru.txt
- description_tw.txt
- stats.json
Open the folder on GitHubat commit 08f9d22
Used in 1 other repository
We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in NeverSight/learn-skills.dev, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Prompt Engineering next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prompt Engineering this skillNeverSight/learn-skills.dev | 216 | 1 repos | ~2.4k | Automated safety check: Pass | None | |
| Prompt EngineAgriciDaniel/claude-prompts | 110 | — | ~1.2k | Automated safety check: Pass | MIT | |
| AI Image Prompts SkillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Prompt Engineering Patternsynulihao/AgentSkillOS | 617 | 14 repos | ~1.7k | Automated safety check: Pass | None | |
| Patch CreationPiebald-AI/tweakcc | 2.5k | — | ~1.6k | Automated safety check: Pass | MIT |
Similar skills
AI Image Prompts Skill
LeoYeAI/openclaw-master-skills
Recommend curated prompts from a 10,000+ real-world image generation prompt library.
Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
Prompt Engineering Patterns
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Patch Creation
Piebald-AI/tweakcc
Create and register new patches for tweakcc. An agent skill from Piebald-AI/tweakcc.
LLM Application Dev
MoizIbnYousaf/ai-agent-skills
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration.
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Related
Works with
Categories
Questions about Prompt Engineering
What does Prompt Engineering do?
Master prompt engineering for AI models: LLMs, image generators, video models. dev. Master prompt engineering for AI models: LLMs, image generators, video models.
When should I use Prompt Engineering?
Prompt Engineering fits situations like: : better AI outputs; consistent results.
How do I install Prompt Engineering in Claude Code?
Run `npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a claude-code`. Or copy the skill folder (data/skills-md/101-skills/skills/prompt-engineering in NeverSight/learn-skills.dev) into .claude/skills/prompt-engineering in your project. Claude Code loads it when a task matches its description.
How do I install Prompt Engineering in Codex?
Run `npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a codex`. Or copy the skill folder (data/skills-md/101-skills/skills/prompt-engineering in NeverSight/learn-skills.dev) into .agents/skills/prompt-engineering in your project. Codex loads it when a task matches its description.
Can I use Prompt Engineering in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NeverSight/learn-skills.dev --skill prompt-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-engineering, .gemini/skills/prompt-engineering, .github/skills/prompt-engineering and .opencode/skills/prompt-engineering in your project.
What does Prompt Engineering need to run?
Going by SKILL.md and its folder, Prompt Engineering needs the command-line tools its instructions call (npx). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Bash(belt *).
Does Prompt Engineering access the network?
SKILL.md names 3 domains. As links in the text: inference.sh, cloud.inference.sh and raw.githubusercontent.com. This is read from the text; nothing was executed.
Is Prompt Engineering safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prompt Engineering use?
No licence was found for Prompt Engineering or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Prompt Engineering use?
About 2.4k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prompt Engineering?
Skills that share tags, products or a category with Prompt Engineering: Prompt Engine (AgriciDaniel/claude-prompts, 110 stars), AI Image Prompts Skill (LeoYeAI/openclaw-master-skills, 2.2k stars), Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars) and Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prompt Engineering?
NeverSight (a GitHub organization) maintains it in NeverSight/learn-skills.dev, which has 216 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 6, 2026.
Source: NeverSight/learn-skills.dev on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.