mac-software-storage-cleanup
Use when auditing macOS app storage, cleaning priority caches, or recommending reclaimable disk space.
- Installs
- 68
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/yangsonhung/awesome-agent-skills --skill mac-software-storage-cleanup- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads mac-software-storage-cleanup automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Mac Software Storage Cleanup
Overview
Audit installed software and storage usage on macOS, produce prioritized cleanup recommendations, and execute low-risk cleanup only after confirmation. The skill separates app inventory, cache cleanup, simulator data, and medium-risk application data so destructive actions remain explicit and reversible where possible.
When to Use
Use this skill when the user:
- Wants to inspect software installed under
/Applications,~/Applications, Homebrew Formula, or Homebrew Cask - Wants storage usage ranked by size across apps and common cache locations
- Wants to clean low-risk paths such as
~/Library/Cachesand~/Library/Developer/CoreSimulator - Wants reclaim recommendations with low-risk and medium-risk cleanup separated clearly
Do not use
Do not use this skill when:
- The user wants to uninstall one specific app instead of doing storage governance
- The user asks to delete application data directly without explicit confirmation
- The environment is not macOS or the target paths do not apply
Instructions
- Run
scripts/report_sizes.shfirst to inventory install sources and major storage consumers. - Classify cleanup candidates by priority:
- Priority 1: caches and simulator data, generally low risk.
- Priority 2: application data directories, report only and never delete by default.
- Priority 3: low-yield small caches or logs.
- Reports must show category totals, counts, and Top N largest entries.
- To inspect priority-2 candidates, run
scripts/list_priority2_candidates.sh [target_dir] [TopN]. - Only after explicit user confirmation, run
scripts/cleanup_priority1.shor an equivalent low-risk cleanup action. - After cleanup, recompute usage and show a
before -> after -> reclaimedsummary.
Workflow
Inventory install sources and storage usage
-> identify high-value cleanup targets
-> present prioritized recommendations
-> wait for user confirmation
-> run low-risk cleanup
-> verify reclaimed space
Run commands
bash scripts/report_sizes.sh
bash scripts/list_priority2_candidates.sh ~/Library/Application\\ Support 20
bash scripts/cleanup_priority1.sh
Output requirements
- Show counts and total size for each path category
- List Top N largest consumers so the user can decide quickly
- Every cleanup action must include before-and-after comparison
- Do not delete priority-2 directories without explicit user approval
Boundaries
- Do not use destructive git commands
- Do not delete unconfirmed application data
- If a script fails, fall back to read-only inspection or the smallest safe cleanup scope
FAQ
What does the mac-software-storage-cleanup skill do?
Use when auditing macOS app storage, cleaning priority caches, or recommending reclaimable disk space.
How do I install mac-software-storage-cleanup?
Run npx skills add https://github.com/yangsonhung/awesome-agent-skills --skill mac-software-storage-cleanup in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/mac-software-storage-cleanup/ (personal) or .claude/skills/mac-software-storage-cleanup/ (project).
Which AI agents can use mac-software-storage-cleanup?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is mac-software-storage-cleanup safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains mac-software-storage-cleanup?
It is published by yangsonhung in yangsonhung/awesome-agent-skills. It has 68 recorded installs.
More from yangsonhung/awesome-agent-skills
novel-writer-cn
yangsonhung/awesome-agent-skills
当用户需要创作、续写、修改小说，或设计角色和世界观时使用。
novel-writer
yangsonhung/awesome-agent-skills
Use when writing, continuing, revising, or planning novels, characters, and fictional worlds.
topic-bookmarks-reorganizer-cn
yangsonhung/awesome-agent-skills
Open the skill to read its SKILL.md instructions.
conversation-json-to-md
yangsonhung/awesome-agent-skills
Open the skill to read its SKILL.md instructions.
topic-bookmarks-reorganizer
yangsonhung/awesome-agent-skills
Open the skill to read its SKILL.md instructions.
multi-lang-readme
yangsonhung/awesome-agent-skills
Open the skill to read its SKILL.md instructions.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available