Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Rewrite prompts using prompt-engineering best practices for precise and complete results.
Install Meta Prompt
$ npx skills add LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended meta-prompt --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/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-specs/skills/meta-prompt .claude/skills/meta-prompt && 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 "meta-prompt" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/meta-prompt into .claude/skills/meta-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-prompt", 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/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/meta-promptType 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 LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended meta-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai-specs/skills/meta-prompt .agents/skills/meta-prompt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meta-prompt" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/meta-prompt into .agents/skills/meta-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-prompt", 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 LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended meta-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai-specs/skills/meta-prompt .cursor/skills/meta-prompt && 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 "meta-prompt" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/meta-prompt into .cursor/skills/meta-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-prompt", 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/LIDR-academy/AI4Devs-LTI-extended.git --path ai-specs/skills/meta-prompt--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 LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended meta-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai-specs/skills/meta-prompt .gemini/skills/meta-prompt && 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 "meta-prompt" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/meta-prompt into .gemini/skills/meta-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-prompt", 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 LIDR-academy/AI4Devs-LTI-extended meta-promptInstalls 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 LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai-specs/skills/meta-prompt .github/skills/meta-prompt && 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 "meta-prompt" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/meta-prompt into .github/skills/meta-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-prompt", 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 LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LIDR-academy/AI4Devs-LTI-extended meta-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LIDR-academy/AI4Devs-LTI-extended.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai-specs/skills/meta-prompt .opencode/skills/meta-prompt && 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 "meta-prompt" agent skill from https://github.com/LIDR-academy/AI4Devs-LTI-extended/tree/main/ai-specs/skills/meta-prompt into .opencode/skills/meta-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meta-prompt", 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
meta-prompt- GitHub stars
- 278
- Token cost
- ~158 tokens
- SKILL.md length
- 70 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Rewrite prompts using prompt-engineering best practices for precise and complete results.
- AI & LLM Engineering work in your project
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Meta Prompt is an agent skill from LIDR-academy/AI4Devs-LTI-extended. Rewrite prompts using prompt-engineering best practices for precise and complete results.
Its SKILL.md is about 160 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: Repository with several experiments from live sessions. The licence is MIT.
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “/meta-prompt”
What it can do on your machine
Read from SKILL.md and the folder at commit 9ff9a80. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Meta Prompt loads about 158 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 70 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
The full file from LIDR-academy/AI4Devs-LTI-extended at commit 9ff9a80, republished under its MIT licence (© LIDR-academy). 70 words, ~158 tokens.
Download SKILL.mdSave it as
.claude/skills/meta-prompt/SKILL.md (or your agent's skills folder).- name
- meta-prompt
- description
- Rewrite prompts using prompt-engineering best practices for precise and complete results.
- author
- LIDR.co
- version
- 1.0.0
meta-prompt Skill
Use it when this workflow is required in the project.
Instructions
Instructions
You are an expert in prompt engineering. Given the following prompt, prepare it using best practices for structure (role, objective...) and format to achieve a precise and exhaustive result. Stick only to the requested objective by carefully analyzing what is asked in the original prompt
Original prompt:
[The prompt that the user introduces in the command]
© LIDR-academy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ai-specs/skills/meta-prompt of LIDR-academy/AI4Devs-LTI-extended.
Open the folder on GitHubat commit 9ff9a80
Compare with similar skills
Meta Prompt 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 |
|---|---|---|---|---|---|---|
| Meta Prompt this skillLIDR-academy/AI4Devs-LTI-extended | 278 | — | ~158 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
1password
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Planning With Files
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Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
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Categories
Questions about Meta Prompt
What does Meta Prompt do?
Rewrite prompts using prompt-engineering best practices for precise and complete results. Meta Prompt is an agent skill from LIDR-academy/AI4Devs-LTI-extended. Rewrite prompts using prompt-engineering best practices for precise and complete results.
When should I use Meta Prompt?
Meta Prompt fits situations like: AI & LLM Engineering work in your project.
How do I install Meta Prompt in Claude Code?
Run `npx skills add LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a claude-code`. Or copy the skill folder (ai-specs/skills/meta-prompt in LIDR-academy/AI4Devs-LTI-extended) into .claude/skills/meta-prompt in your project. Claude Code loads it when a task matches its description.
How do I install Meta Prompt in Codex?
Run `npx skills add LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a codex`. Or copy the skill folder (ai-specs/skills/meta-prompt in LIDR-academy/AI4Devs-LTI-extended) into .agents/skills/meta-prompt in your project. Codex loads it when a task matches its description.
Can I use Meta Prompt 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 LIDR-academy/AI4Devs-LTI-extended --skill meta-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-prompt, .gemini/skills/meta-prompt, .github/skills/meta-prompt and .opencode/skills/meta-prompt in your project.
What does Meta Prompt need to run?
SKILL.md names no scripts, command-line tools or credentials: Meta Prompt is instructions for the agent only.
Does Meta Prompt access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Meta Prompt 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 Meta Prompt use?
Meta Prompt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Meta Prompt use?
About 158 tokens (SKILL.md is roughly 632 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 Meta Prompt?
Skills that share tags, products or a category with Meta Prompt: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meta Prompt?
LIDR-academy (a GitHub organization) maintains it in LIDR-academy/AI4Devs-LTI-extended, which has 278 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on June 9, 2026.
Source: LIDR-academy/AI4Devs-LTI-extended on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.