Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when writing any explanation, documentation, or response that will be read by someone else.
$ npx skills add aiming-lab/MetaClaw --skill audience-aware-communication -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw audience-aware-communication --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/aiming-lab/MetaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/memory_data/skills/audience-aware-communication .claude/skills/audience-aware-communication && 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 "audience-aware-communication" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/audience-aware-communication into .claude/skills/audience-aware-communication/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-aware-communication", 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/aiming-lab/MetaClaw/tree/main/memory_data/skills/audience-aware-communicationType 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 aiming-lab/MetaClaw --skill audience-aware-communication -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw audience-aware-communication --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/memory_data/skills/audience-aware-communication .agents/skills/audience-aware-communication && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "audience-aware-communication" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/audience-aware-communication into .agents/skills/audience-aware-communication/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-aware-communication", 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 aiming-lab/MetaClaw --skill audience-aware-communication -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw audience-aware-communication --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/memory_data/skills/audience-aware-communication .cursor/skills/audience-aware-communication && 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 "audience-aware-communication" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/audience-aware-communication into .cursor/skills/audience-aware-communication/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-aware-communication", 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/aiming-lab/MetaClaw.git --path memory_data/skills/audience-aware-communication--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 aiming-lab/MetaClaw --skill audience-aware-communication -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw audience-aware-communication --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/memory_data/skills/audience-aware-communication .gemini/skills/audience-aware-communication && 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 "audience-aware-communication" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/audience-aware-communication into .gemini/skills/audience-aware-communication/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-aware-communication", 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 aiming-lab/MetaClaw audience-aware-communicationInstalls 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 aiming-lab/MetaClaw --skill audience-aware-communication -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/memory_data/skills/audience-aware-communication .github/skills/audience-aware-communication && 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 "audience-aware-communication" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/audience-aware-communication into .github/skills/audience-aware-communication/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-aware-communication", 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 aiming-lab/MetaClaw --skill audience-aware-communication -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiming-lab/MetaClaw audience-aware-communication --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/memory_data/skills/audience-aware-communication .opencode/skills/audience-aware-communication && 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 "audience-aware-communication" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/audience-aware-communication into .opencode/skills/audience-aware-communication/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-aware-communication", 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.
audience-aware-communicationA skill your agent uses when writing any explanation, documentation, or response that will be read by someone else.
Audience Aware Communication is an agent skill from aiming-lab/MetaClaw. Use this skill when writing any explanation, documentation, or response that will be read by someone else. Match vocabulary, depth, and format to the audience's expertise level before writing.
Its SKILL.md is about 230 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: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.
Read from SKILL.md and the folder at commit 922caf3. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Audience Aware Communication loads about 227 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 87 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.
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.
The full file from aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 87 words, ~227 tokens.
.claude/skills/audience-aware-communication/SKILL.md (or your agent's skills folder).Before writing, consider who will read this.
Questions to ask:
Adaptation rules:
Anti-pattern: Writing at your own knowledge level without adjusting for the reader.
© aiming-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in memory_data/skills/audience-aware-communication of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Audience Aware Communication 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 |
|---|---|---|---|---|---|---|
| Audience Aware Communication this skillaiming-lab/MetaClaw | 3.5k | — | ~227 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 5 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 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
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.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
aiming-lab/MetaClaw
Use this skill before any data analysis, transformation, or modeling.
aiming-lab/MetaClaw
A skill your agent uses when implementing any endpoint, form handler, CLI tool, or function that accepts external input.
aiming-lab/MetaClaw
A skill your agent uses when writing shell scripts, Python automation, or any unattended batch job.
aiming-lab/MetaClaw
A skill your agent uses when building production services, pipelines, or automation that needs to be debugged, monitored, or audited.
aiming-lab/MetaClaw
A skill your agent uses when delegating a subtask to a sub-agent, spawning a parallel worker, or handing off work across sessions.
aiming-lab/MetaClaw
A skill your agent uses when writing messages in async channels (Slack, GitHub issues, email threads) where the reader may not have context and cannot ask follow-up questions immediately.
Categories
A skill your agent uses when writing any explanation, documentation, or response that will be read by someone else. Audience Aware Communication is an agent skill from aiming-lab/MetaClaw. Use this skill when writing any explanation, documentation, or response that will be read by someone else.
Audience Aware Communication fits situations like: writing any explanation; response that will be read by someone else.
Run `npx skills add aiming-lab/MetaClaw --skill audience-aware-communication -a claude-code`. Or copy the skill folder (memory_data/skills/audience-aware-communication in aiming-lab/MetaClaw) into .claude/skills/audience-aware-communication in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aiming-lab/MetaClaw --skill audience-aware-communication -a codex`. Or copy the skill folder (memory_data/skills/audience-aware-communication in aiming-lab/MetaClaw) into .agents/skills/audience-aware-communication in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiming-lab/MetaClaw --skill audience-aware-communication -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audience-aware-communication, .gemini/skills/audience-aware-communication, .github/skills/audience-aware-communication and .opencode/skills/audience-aware-communication in your project.
SKILL.md names no scripts, command-line tools or credentials: Audience Aware Communication is instructions for the agent only.
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.
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.
Audience Aware Communication is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 227 tokens (SKILL.md is roughly 908 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Audience Aware Communication: 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.
aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,459 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on June 7, 2026.
Source: aiming-lab/MetaClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.