Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
Audits installed Agent Skills for duplicates, unused candidates, loaded roots, oversized descriptions, and prompt cost.
$ npx skills add iurysza/module-graph --skill skill-cleaner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iurysza/module-graph skill-cleaner --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/iurysza/module-graph.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/skill-cleaner .claude/skills/skill-cleaner && 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 "skill-cleaner" agent skill from https://github.com/iurysza/module-graph/tree/main/.agents/skills/skill-cleaner into .claude/skills/skill-cleaner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-cleaner", 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/iurysza/module-graph/tree/main/.agents/skills/skill-cleanerType 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 iurysza/module-graph --skill skill-cleaner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iurysza/module-graph skill-cleaner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iurysza/module-graph.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/skill-cleaner .agents/skills/skill-cleaner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-cleaner" agent skill from https://github.com/iurysza/module-graph/tree/main/.agents/skills/skill-cleaner into .agents/skills/skill-cleaner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-cleaner", 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 iurysza/module-graph --skill skill-cleaner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iurysza/module-graph skill-cleaner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iurysza/module-graph.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/skill-cleaner .cursor/skills/skill-cleaner && 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 "skill-cleaner" agent skill from https://github.com/iurysza/module-graph/tree/main/.agents/skills/skill-cleaner into .cursor/skills/skill-cleaner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-cleaner", 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/iurysza/module-graph.git --path .agents/skills/skill-cleaner--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 iurysza/module-graph --skill skill-cleaner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iurysza/module-graph skill-cleaner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iurysza/module-graph.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/skill-cleaner .gemini/skills/skill-cleaner && 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 "skill-cleaner" agent skill from https://github.com/iurysza/module-graph/tree/main/.agents/skills/skill-cleaner into .gemini/skills/skill-cleaner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-cleaner", 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 iurysza/module-graph skill-cleanerInstalls 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 iurysza/module-graph --skill skill-cleaner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iurysza/module-graph.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/skill-cleaner .github/skills/skill-cleaner && 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 "skill-cleaner" agent skill from https://github.com/iurysza/module-graph/tree/main/.agents/skills/skill-cleaner into .github/skills/skill-cleaner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-cleaner", 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 iurysza/module-graph --skill skill-cleaner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iurysza/module-graph skill-cleaner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iurysza/module-graph.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/skill-cleaner .opencode/skills/skill-cleaner && 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 "skill-cleaner" agent skill from https://github.com/iurysza/module-graph/tree/main/.agents/skills/skill-cleaner into .opencode/skills/skill-cleaner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-cleaner", 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.
skill-cleanerAudits installed Agent Skills for duplicates, unused candidates, loaded roots, oversized descriptions, and prompt cost.
Skill Cleaner is an agent skill from iurysza/module-graph. Audits installed Agent Skills for duplicates, unused candidates, loaded roots, oversized descriptions, and prompt cost. Use when cleaning or debugging skill collections.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts. Compatibility notes: Requires Node.js 18 or newer. Usage-history analysis supports Codex and OpenClaw logs.
It sits in Development. The repository describes itself as: A Gradle Plugin for visualizing your project's structure, powered by mermaidjs. The licence is MIT.
Read from SKILL.md and the folder at commit 15b0135. 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.
Ships 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom 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.
Requires Node.js 18 or newer. Usage-history analysis supports Codex and OpenClaw logs.
From compatibility in the SKILL.md frontmatter.
Skill Cleaner loads about 1k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 448 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); the scripts in this folder are not scanned.
The full file from iurysza/module-graph at commit 15b0135, republished under its MIT licence (© iurysza). 448 words, ~1,042 tokens.
.claude/skills/skill-cleaner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this when trimming skill prompt budget, finding duplicate skills, auditing enabled/disabled skill roots, or deciding which skills/plugins to remove.
SKILL.md, then run its bundled analyzer:node ./scripts/skill-cleaner.mjs --no-logsUseful variants:
node ./scripts/skill-cleaner.mjs --months 3
node ./scripts/skill-cleaner.mjs --months 6 --max-log-mb 800 --deep-logs
node ./scripts/skill-cleaner.mjs --context-tokens 200000 --budget-percent 2 --no-logs
node ./scripts/skill-cleaner.mjs --root /path/to/another/skills-directory --no-logs
node ./scripts/skill-cleaner.mjs --json --no-logsSkill Budget: GPT-5.5 context size, 2% skills budget, Codex-budgeted usage, and pre-budget full-list pressure.Description candidates: long descriptions where relaxed grammar saves prompt budget.Duplicates: same skill name or near-identical description/body across Codex, plugin cache, repo siblings, and personal skill roots.Unused candidates: no recent $skill mention, SKILL.md read, or explicit skill-use trace in recent Codex/OpenClaw logs.Root summary: where skills came from and whether config marks them disabled.- name: description (file: path).name and description.core-skills/src/render.rs: 2% of raw context_window, token cost ceil(utf8_bytes / 4), then full descriptions -> equal description truncation -> omitted minimum lines.~/.codex/models_cache.json for the selected model's context_window; fallback is 200,000 tokens and 2%. Pass --context-tokens for an exact budget..agents, Pi, Codex, Claude Code, OpenCode, and OpenClaw, plus skill roots in the current project and its ancestors.--root <path> flags.~/.codex/history.jsonl and recent ~/.codex/sessions/**/*.jsonl by default. Add --deep-logs for archived sessions and common OpenClaw/Clawd log folders.$skill, Use $skill, and paths like skills/<name>/SKILL.md.--no-logs unless the user wants usage-history analysis.© iurysza, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in .agents/skills/skill-cleaner of iurysza/module-graph.
Open the folder on GitHubat commit 15b0135
Skill Cleaner 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 |
|---|---|---|---|---|---|---|
| Skill Cleaner this skilliurysza/module-graph | 419 | — | ~1k | Automated safety check: Pass | MIT | |
| Vercel Composition Patternssupabase/supabase | 111k | 59 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
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.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
iurysza/module-graph
Transcribes local audio into Markdown with Gemini 3.5 Transcribe, including speaker labels and provider timestamps.
iurysza/module-graph
Generates or edits raster images through OpenAI's Image API.
iurysza/module-graph
Generates spoken MP3 audio from text or Markdown with Gemini TTS.
iurysza/module-graph
Explores and validates a feature, component, workflow, or behavior change before implementation.
iurysza/module-graph
Maintains project domain language, context maps, diagrams, and architectural decisions under ai-artifacts.
iurysza/module-graph
Rewrites technical review replies as short, natural Slack or PR messages between engineers.
Categories
Audits installed Agent Skills for duplicates, unused candidates, loaded roots, oversized descriptions, and prompt cost. Skill Cleaner is an agent skill from iurysza/module-graph. Audits installed Agent Skills for duplicates, unused candidates, loaded roots, oversized descriptions, and prompt cost.
Skill Cleaner fits situations like: debugging skill collections.
Run `npx skills add iurysza/module-graph --skill skill-cleaner -a claude-code`. Or copy the skill folder (.agents/skills/skill-cleaner in iurysza/module-graph) into .claude/skills/skill-cleaner in your project. Claude Code loads it when a task matches its description.
Run `npx skills add iurysza/module-graph --skill skill-cleaner -a codex`. Or copy the skill folder (.agents/skills/skill-cleaner in iurysza/module-graph) into .agents/skills/skill-cleaner 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 iurysza/module-graph --skill skill-cleaner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-cleaner, .gemini/skills/skill-cleaner, .github/skills/skill-cleaner and .opencode/skills/skill-cleaner in your project.
Going by SKILL.md and its folder, Skill Cleaner needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js. Compatibility (from SKILL.md): Requires Node.js 18 or newer. Usage-history analysis supports Codex and OpenClaw logs..
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Skill Cleaner is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4.2k 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 Skill Cleaner: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
iurysza (a GitHub user) maintains it in iurysza/module-graph, which has 419 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 7, 2026.
Source: iurysza/module-graph on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.