Coding Agent
mastra-ai/mastra
Authoring playbook for building agents that write, edit, review, or refactor code.
Explains a pasted code snippet in plain English, returning the detected language, a one-sentence summary, how it works and one practical tip.
Install Code Explainer
$ npx skills add mergisi/awesome-openclaw-agents --skill code-explainer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mergisi/awesome-openclaw-agents code-explainer --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/mergisi/awesome-openclaw-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gemma/code-explainer .claude/skills/code-explainer && 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 "code-explainer" agent skill from https://github.com/mergisi/awesome-openclaw-agents/tree/main/skills/gemma/code-explainer into .claude/skills/code-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-explainer", 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/mergisi/awesome-openclaw-agents/tree/main/skills/gemma/code-explainerType 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 mergisi/awesome-openclaw-agents --skill code-explainer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mergisi/awesome-openclaw-agents code-explainer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mergisi/awesome-openclaw-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gemma/code-explainer .agents/skills/code-explainer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-explainer" agent skill from https://github.com/mergisi/awesome-openclaw-agents/tree/main/skills/gemma/code-explainer into .agents/skills/code-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-explainer", 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 mergisi/awesome-openclaw-agents --skill code-explainer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mergisi/awesome-openclaw-agents code-explainer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mergisi/awesome-openclaw-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gemma/code-explainer .cursor/skills/code-explainer && 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 "code-explainer" agent skill from https://github.com/mergisi/awesome-openclaw-agents/tree/main/skills/gemma/code-explainer into .cursor/skills/code-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-explainer", 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/mergisi/awesome-openclaw-agents.git --path skills/gemma/code-explainer--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 mergisi/awesome-openclaw-agents --skill code-explainer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mergisi/awesome-openclaw-agents code-explainer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mergisi/awesome-openclaw-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gemma/code-explainer .gemini/skills/code-explainer && 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 "code-explainer" agent skill from https://github.com/mergisi/awesome-openclaw-agents/tree/main/skills/gemma/code-explainer into .gemini/skills/code-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-explainer", 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 mergisi/awesome-openclaw-agents code-explainerInstalls 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 mergisi/awesome-openclaw-agents --skill code-explainer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mergisi/awesome-openclaw-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gemma/code-explainer .github/skills/code-explainer && 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 "code-explainer" agent skill from https://github.com/mergisi/awesome-openclaw-agents/tree/main/skills/gemma/code-explainer into .github/skills/code-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-explainer", 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 mergisi/awesome-openclaw-agents --skill code-explainer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mergisi/awesome-openclaw-agents code-explainer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mergisi/awesome-openclaw-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gemma/code-explainer .opencode/skills/code-explainer && 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 "code-explainer" agent skill from https://github.com/mergisi/awesome-openclaw-agents/tree/main/skills/gemma/code-explainer into .opencode/skills/code-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-explainer", 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
code-explainer- GitHub stars
- 4k
- Token cost
- ~283 tokens
- SKILL.md length
- 142 words
- Files
- 3 (incl. scripts, assets)
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- MIT
At a glance
Explains a pasted code snippet in plain English, returning the detected language, a one-sentence summary, how it works and one practical tip.
- Understanding an unfamiliar function found in a codebase
- SKILL.md covers Examples and Instructions
- Decoding a SQL query or shell one-liner you did not write
- Getting a quick gotcha or improvement hint for a snippet
What it does
This skill takes a code snippet from the user and answers with a short plain-English explanation. It names Python, JavaScript, SQL, Bash, TypeScript and Go as examples of languages it handles, and its sample requests include a recursive Fibonacci function, an array reduce call, an SQL query over error logs and a find command that deletes old log files.
The agent has to hand its result to a run_js tool as a JSON string with five fields: the detected language, the snippet (cut to its first 100 characters when longer), a one-sentence summary of what the code does, a one-sentence account of the mechanism, and one practical tip, gotcha or improvement. The folder also bundles webview.html and index.html files.
When your agent uses it
- Understanding an unfamiliar function found in a codebase
- Decoding a SQL query or shell one-liner you did not write
- Getting a quick gotcha or improvement hint for a snippet
Example prompts
- “Explain this SQL query: SELECT name FROM users WHERE active = 1 ORDER BY created_at.”
- “What does reduce do in this line: total = items.reduce((a, b) => a + b.price, 0)?”
- “Walk me through this bash script that deletes old log files.”
Requirements
- An agent environment that provides a run_js tool
What it can do on your machine
Read from SKILL.md and the folder at commit 05820c5. 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
Ships 1 file in scripts/, which the agent can run.
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
Code Explainer loads about 283 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 142 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); the scripts in this folder are not scanned.
SKILL.md
The full file from mergisi/awesome-openclaw-agents at commit 05820c5, republished under its MIT licence (© mergisi). 142 words, ~283 tokens.
Download SKILL.mdSave it as
.claude/skills/code-explainer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- code-explainer
- description
- Paste any code snippet and get a plain English explanation of what it does and how it works.
Code Explainer
Understand any code instantly. Works with Python, JavaScript, SQL, Bash, TypeScript, Go, and more.
Examples
- "Explain this Python: def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2)"
- "What does this do: arr.reduce((acc, x) => acc + x, 0)"
- "Explain: SELECT * FROM logs WHERE level = 'error' ORDER BY created_at DESC LIMIT 100"
- "What is this bash script doing: find . -name '*.log' -mtime +7 -delete"
Instructions
You MUST use the run_js tool with the following exact parameters:
- data: A JSON string with the following fields:
- language: String - the programming language detected (e.g. Python, JavaScript, SQL, Bash)
- snippet: String - the code snippet, truncated to first 100 characters if longer
- summary: String - one sentence plain English explanation of what the code does overall
- how: String - one sentence explaining how it works (the mechanism)
- tip: String - one practical tip, gotcha, or improvement suggestion for this code
© mergisi, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts, assets) in skills/gemma/code-explainer of mergisi/awesome-openclaw-agents.
- SKILL.md
- assets/webview.html
- scripts/index.html
Open the folder on GitHubat commit 05820c5
Compare with similar skills
Code Explainer 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 |
|---|---|---|---|---|---|---|
| Code Explainer this skillmergisi/awesome-openclaw-agents | 4k | — | ~283 | Automated safety check: Pass | MIT | |
| Coding Agentmastra-ai/mastra | 29k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| LSP Symbol Navigation Guideweave-os/router | 5.6k | — | ~794 | Automated safety check: Pass | Apache-2.0 | |
| CodeScope Codebase Graph AnalysisQwenLM/qwen-code | 28k | 1 repos | ~9.3k | Automated safety check: Pass | Apache-2.0 | |
| Codegraph QAQwenLM/qwen-code-examples | 143 | — | ~4.3k | Automated safety check: Pass | None | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
Similar skills
LSP Symbol Navigation Guide
weave-os/router
Shows when to answer a code question through a real language server instead of grep, covering definitions, references, hover, outlines, and errors.
CodeScope Codebase Graph Analysis
QwenLM/qwen-code
Answers questions about code structure, history, bugs and PR risk using a CodeScope knowledge graph and semantic index built from the repository.
Codegraph QA
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Use CodeScope to analyze any indexed codebase via its graph database (neug) and vector index (zvec).
Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
jscpd Code Migration Tracker
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Measures a code port between languages or frameworks with jscpd's function-level comparison, porting tests before code and tracking what is left unmatched.
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Questions about Code Explainer
What does Code Explainer do?
Explains a pasted code snippet in plain English, returning the detected language, a one-sentence summary, how it works and one practical tip. This skill takes a code snippet from the user and answers with a short plain-English explanation. It names Python, JavaScript, SQL, Bash, TypeScript and Go as examples of languages it handles, and its sample requests include a recursive Fibonacci function, an array reduce call, an SQL query over error logs and a find command that deletes old log files.
When should I use Code Explainer?
Code Explainer fits situations like: understanding an unfamiliar function found in a codebase; decoding a SQL query or shell one-liner you did not write; getting a quick gotcha or improvement hint for a snippet.
How do I install Code Explainer in Claude Code?
Run `npx skills add mergisi/awesome-openclaw-agents --skill code-explainer -a claude-code`. Or copy the skill folder (skills/gemma/code-explainer in mergisi/awesome-openclaw-agents) into .claude/skills/code-explainer in your project. Claude Code loads it when a task matches its description.
How do I install Code Explainer in Codex?
Run `npx skills add mergisi/awesome-openclaw-agents --skill code-explainer -a codex`. Or copy the skill folder (skills/gemma/code-explainer in mergisi/awesome-openclaw-agents) into .agents/skills/code-explainer in your project. Codex loads it when a task matches its description.
Can I use Code Explainer 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 mergisi/awesome-openclaw-agents --skill code-explainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-explainer, .gemini/skills/code-explainer, .github/skills/code-explainer and .opencode/skills/code-explainer in your project.
What does Code Explainer need to run?
SKILL.md names no scripts, command-line tools or credentials: Code Explainer is instructions for the agent only. Our summary lists: An agent environment that provides a run_js tool.
Does Code Explainer 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 Code Explainer 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Code Explainer use?
Code Explainer 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 Code Explainer use?
About 283 tokens (SKILL.md is roughly 1.1k 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 Code Explainer?
Skills that share tags, products or a category with Code Explainer: Coding Agent (mastra-ai/mastra, 29k stars), LSP Symbol Navigation Guide (weave-os/router, 5.6k stars), CodeScope Codebase Graph Analysis (QwenLM/qwen-code, 28k stars) and Codegraph QA (QwenLM/qwen-code-examples, 143 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Code Explainer?
mergisi (a GitHub user) maintains it in mergisi/awesome-openclaw-agents, which has 3,995 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 26, 2026.
Source: mergisi/awesome-openclaw-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.