Best for
- User asks about disk space, storage, or cleanup
- System is running low on free space
- User wants to find old/forgotten large files
terrylica/cc-skills/plugins/devops-tools/skills/disk-hygiene/SKILL.md
macOS disk cleanup, cache pruning, stale file detection, and Downloads triage. TRIGGERS - disk space, cleanup, disk usage
Decision brief
Audit disk usage, clean developer caches, find forgotten large files, and triage Downloads on macOS.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/terrylica/cc-skills --skill "plugins/devops-tools/skills/disk-hygiene"Inspect the Agent Skill "disk-hygiene" from https://github.com/terrylica/cc-skills/blob/05f53c5b24a445c1895e9b0590212e66cd70f39e/plugins/devops-tools/skills/disk-hygiene/SKILL.md at commit 05f53c5b24a445c1895e9b0590212e66cd70f39e. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Get the lay of the land before diving into specifics.
uv cache clean waits 300 s for an exclusive lock, then errors. Earlier revisions of this skill said "use --force". That advice is wrong when the lock holder is a long-running service, and it is the same class of mistake as the catgpt-gateway incident: mutating a cache underneath…
The single most-missed category — check it on EVERY audit. Compiler and dependency output lives inside your repos, not under /Library, so the Phase 1/2 scans never see it. A single active Rust repo's target/ routinely hits 10-35 GB; across a dev tree these artifacts can dwarf ev…
Find large files that have not been accessed in 180+ days.
Use AskUserQuestion with multi-select to let the user choose what to clean.
Permission review
The documentation asks the agent to read local files, directories, or repositories.
Scan in-repo build artifacts (Rust target/, .venv, node_modules — often the biggest, see Phase 2.5)The documentation asks the agent to read local files, directories, or repositories.
Scan home directory for large files not accessed in 180+ daysThe documentation asks the agent to run terminal commands or scripts.
npm cache clean --force 2>&1The documentation asks the agent to create, modify, or delete local files.
Run `pgrep -fl 'cargo build|rustc|zig build'` first — never delete artifacts for a repo whose build/test is **currently running**.The documentation asks the agent to create, modify, or delete local files.
If the user's shell environment has bash hooks that intercept tool calls (pueue, asciinema, etc.) and the heredoc pattern fails with cryptic parse errors, write the script to a temp file and invoke it:The documentation asks the agent to run terminal commands or scripts.
bash /tmp/<task>.shEvidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 93/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 61 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Audit disk usage, clean developer caches, find forgotten large files, and triage Downloads on macOS.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
Use this skill when:
1. Run disk overview (df -h /System/Volumes/Data && major directories)
2. Audit developer caches (uv, brew, pip, npm, cargo, rustup, Docker)
3. Scan in-repo build artifacts (Rust target/, .venv, node_modules — often the biggest, see Phase 2.5)
4. Scan for forgotten large files (>50MB, not accessed in 180+ days)
5. Present findings with AskUserQuestion for cleanup choices
6. Execute selected cleanups
7. Report space reclaimed
1. Measure current cache sizes
2. Run safe cache cleanups (brew, uv, pip, npm)
3. Report space reclaimed
1. List Downloads contents with dates and sizes
2. Categorize into groups (media, dev artifacts, personal docs, misc)
3. Present AskUserQuestion multi-select for deletion/move
4. Execute selected actions
1. Scan home directory for large files not accessed in 180+ days
2. Group by location and type (media, ISOs, dev artifacts, documents)
3. Present findings sorted by size
4. Offer cleanup options via AskUserQuestion
Get the lay of the land before diving into specifics.
/usr/bin/env bash << 'OVERVIEW_EOF'
echo "=== Disk Overview ==="
# MUST be /System/Volumes/Data, NOT `/`. On APFS (Catalina+) `/` is the SEALED
# READ-ONLY system volume and reports a fixed ~10GB used — it is not your disk.
# Verified 2026-07-31: `df -h /` said "10Gi used, 185Gi avail" on a machine that
# was actually 707GB used and 80% full. Reading `/` will make you conclude there
# is nothing to clean.
df -h /System/Volumes/Data
echo ""
echo "=== Major Directories ==="
du -sh ~/Library/Caches ~/Library/Logs ~/Library/Application\ Support \
~/.Trash ~/Downloads ~/Documents ~/Desktop ~/Movies ~/Music ~/Pictures \
2>/dev/null | sort -rh
echo ""
echo "=== Developer Tool Caches ==="
du -sh ~/.docker ~/.npm ~/.cargo ~/.rustup ~/.local ~/.cache \
~/.conda ~/.pyenv ~/.local/share/mise 2>/dev/null | sort -rh
OVERVIEW_EOF
| Cache | Location | Typical Size | Clean Command |
|---|---|---|---|
| uv | ~/Library/Caches/uv/ or ~/.cache/uv/ | 5-15 GB | uv cache clean |
| Homebrew | ~/Library/Caches/Homebrew/ | 3-10 GB | brew cleanup --prune=all |
| pip | ~/Library/Caches/pip/ | 0.5-2 GB | pip cache purge |
| npm | ~/.npm/_cacache/ | 0.5-2 GB | npm cache clean --force |
| cargo | ~/.cargo/registry/cache/ | 1-5 GB | cargo cache -a (needs cargo-cache) |
| rustup | ~/.rustup/toolchains/ | 2-10 GB | rustup toolchain uninstall <name> (list with rustup toolchain list) |
| mise | ~/.local/share/mise/installs/<tool>/<version>/ | 0.2-2 GB each | mise uninstall <tool>@<version> (list with mise ls) |
| Docker | Docker.app | 5-30 GB | docker system prune -a |
| Playwright | ~/Library/Caches/ms-playwright/ | 0.5-2 GB | npx playwright uninstall |
| sccache | ~/Library/Caches/Mozilla.sccache/ | 1-3 GB | rm -rf ~/Library/Caches/Mozilla.sccache |
| go-build | ~/Library/Caches/go-build/ | 5-25 GB | go clean -cache (or rm -rf if go not on PATH) |
| huggingface | ~/.cache/huggingface/ | 1-10 GB | rm -rf ~/.cache/huggingface/hub/<model> |
/usr/bin/env bash << 'CACHE_CLEAN_EOF'
set -euo pipefail
echo "=== Measuring current cache sizes ==="
echo "uv: $(du -sh ~/Library/Caches/uv/ 2>/dev/null | cut -f1 || echo 'N/A')"
echo "Homebrew: $(du -sh ~/Library/Caches/Homebrew/ 2>/dev/null | cut -f1 || echo 'N/A')"
echo "pip: $(du -sh ~/Library/Caches/pip/ 2>/dev/null | cut -f1 || echo 'N/A')"
echo "npm: $(du -sh ~/.npm/_cacache/ 2>/dev/null | cut -f1 || echo 'N/A')"
echo ""
echo "=== Cleaning ==="
brew cleanup --prune=all 2>&1 | tail -3
uv cache prune 2>&1 # prune, NOT `clean --force` — see "uv cache lock" below
pip cache purge 2>&1
npm cache clean --force 2>&1
CACHE_CLEAN_EOF
| Issue | Cause | Solution |
|---|---|---|
uv cache lock held | Identify the holder first | See "uv cache lock" below — --force can be actively dangerous |
brew cleanup skips formulae | Linked but not latest | Safe to ignore, or brew reinstall <pkg> |
pip cache purge permission denied | System pip vs user pip | Use python -m pip cache purge |
| Docker not running | Docker Desktop not started | Start Docker.app first, or skip |
--force before naming the holderuv cache clean waits 300 s for an exclusive lock, then errors. Earlier revisions
of this skill said "use --force". That advice is wrong when the lock holder is
a long-running service, and it is the same class of mistake as the
catgpt-gateway incident: mutating a cache underneath a live daemon.
Measured 2026-08-24: uv cache clean timed out, and the holders were
uv 1934 uv run python ~/eon/tasc/kernel/embed.py serve --model minishlab/potion-retrieval-32M
uv 2652 uv run python ~/eon/tasc/kernel/embed.py rerank --serve --model Xenova/ms-marco-MiniLM-L-6-v2
— both children of the launchd job com.tasc.serve, up 1 h 37 m. These are
persistent daemons, so the lock is never released and clean can never succeed
on its own. Always identify the holder before deciding:
lsof ~/.cache/uv/.lock 2>/dev/null # exact PIDs holding the lock
ps -o pid,ppid,lstart,command -p <PIDS> # how long, and whose child
launchctl list | grep -i <service> # is the parent a launchd job?
Then pick by holder:
| Holder | Action |
|---|---|
Transient (uv sync you just ran) | Wait for it, or --force — genuinely safe |
| Long-running launchd/daemon | Do NOT --force. Either skip, or launchctl bootout → clean → bootstrap → verify |
| Unknown / can't identify | Skip. The cache is never worth an outage |
Prefer uv cache prune over uv cache clean in routine hygiene. prune
removes only unused entries and leaves everything a live environment depends on,
so it is the correct periodic-maintenance verb; clean nukes everything and forces
a full re-download.
archive-v0 silently accumulates whole virtual environmentsThe uv cache's headline number is misleading, so classify before you judge it.
archive-v0 is documented as unpacked wheel bodies that get hardlinked into
each .venv — that part earns its keep. But it also accretes complete virtual
environments (build envs / tool envs) that are never garbage-collected, and those
are pure dead weight. Measured 2026-08-24 on a 69 GB uv cache:
| Entry shape | Count | Size |
|---|---|---|
Full venvs (contain pyvenv.cfg) | 210 | 39 GB |
| Genuine unpacked wheels | 1,577 | 10 GB |
So 78 % of archive-v0 was orphaned environments, not the dedup layer. Classify
it — the split changes both the diagnosis and the remedy (prune, not clean):
du -sk ~/.cache/uv/archive-v0/* 2>/dev/null > /tmp/uv-all.txt
while read -r kb path; do
[ -f "$path/pyvenv.cfg" ] && echo "VENV $((kb/1024))MB $path"
done < /tmp/uv-all.txt | sort -k2 -rn | head
Also check hardlink counts before promising a number. uv hardlinks cache files
into live .venvs, so deleting a cache entry with links>1 reclaims nothing:
stat -f 'links=%l size=%z %N' "$(find ~/.cache/uv/archive-v0 -type f -size +20M | head -1)"
# links=1 -> deleting truly reclaims; links>1 -> shared with a live venv, no gain
Don't let "Python is bloated" be the conclusion. In the same audit, Rust's
per-repo target/ dirs totalled 57 GB against ~7 GB of Python .venvs — 8×
more — because target/ is per-repo with no sharing while uv's archive is shared
across every project. Report the measured split, not the folk wisdom.
The single most-missed category — check it on EVERY audit. Compiler and dependency output lives inside your repos, not under ~/Library, so the Phase 1/2 scans never see it. A single active Rust repo's target/ routinely hits 10-35 GB; across a dev tree these artifacts can dwarf every cache combined (one real audit: 62 GB of target/ + 20 GB of .venv). All of it regenerates on the next build — the only cost is recompile / re-sync time.
| Artifact | Dir name | Typical size | Regenerated by |
|---|---|---|---|
| Rust build | target/ | 1-35 GB each | cargo build |
| Python venv | .venv/ | 0.1-2 GB each | uv sync / uv venv |
| Node modules | node_modules/ | 0.1-0.5 GB each | npm / bun install |
| Zig cache | .zig-cache/, zig-cache/ | 0.1-1 GB each | next zig build |
/usr/bin/env bash << 'ARTIFACT_SCAN_EOF'
ROOTS=(~/eon ~/own ~/src ~/code ~/projects)
for n in target .venv node_modules .zig-cache zig-cache; do
echo "=== $n (top 10 by size) ==="
find "${ROOTS[@]}" -maxdepth 5 -type d -name "$n" -prune 2>/dev/null \
-exec du -sh {} \; 2>/dev/null | sort -rh | head -10
done
ARTIFACT_SCAN_EOF
Rust target/ — guard against false matches. Only delete a target/ that has a sibling Cargo.toml, so you never nuke an unrelated folder literally named "target":
/usr/bin/env bash << 'TARGET_CLEAN_EOF'
ROOTS=(~/eon ~/own)
find "${ROOTS[@]}" -maxdepth 5 -type d -name target -prune 2>/dev/null | while read -r t; do
[ -f "$(dirname "$t")/Cargo.toml" ] && rm -rf "$t" && echo "cleaned: $t"
done
TARGET_CLEAN_EOF
.venv / node_modules are safe to bulk-delete by name (regenerated on next uv sync / install):
find ~/eon ~/own -maxdepth 5 -type d -name .venv -prune -exec rm -rf {} +
node_modules and .venv are only "safe to bulk-delete" for repos nobody is
running. On 2026-07-31 a bulk delete took out catgpt-gateway/node_modules;
its launchd watchdog then failed 95 times and, in trying to restart the gateway,
drove a Chrome launch that raised a macOS TCC prompt. The user reported it as a
mysterious permission pop-up, and the disk cleanup was two steps removed from the
symptom.
Build the exclusion list BEFORE deleting anything:
/usr/bin/env bash << 'DEPCHECK_EOF'
# Every repo backing a live launchd job — never delete artifacts inside these.
for p in "$HOME"/Library/LaunchAgents/*.plist; do
prog=$(plutil -extract ProgramArguments.0 raw "$p" 2>/dev/null) || continue
case "$prog" in "$HOME"/*) ;; *) continue ;; esac
d=$(dirname "$prog")
for _ in 1 2 3 4 5; do
{ [ -f "$d/package.json" ] || [ -f "$d/pyproject.toml" ]; } && break
d=$(dirname "$d"); [ "$d" = "$HOME" ] && break
done
[ "$d" = "$HOME" ] && continue # walked out; not a real repo match
echo "$d"
done | sort -u
DEPCHECK_EOF
Then SKIP any candidate path under one of those roots, and print the skip so
the operator can see the guard fired. After cleanup, re-run the same list and
assert each repo still has the manifest-matching directory (package.json →
node_modules, pyproject.toml → .venv).
⚠️ Check EVERY manifest in the repo, not just the one at the root. The version above walks up from the launchd program to the first
package.jsonorpyproject.tomland stops — so for a repo whose service code lives in a subdirectory it verifies the wrong thing. Measured 2026-08-03 on~/eon/tasc: the root haspyproject.toml(so the check reported.venv=okandnode_modules=—, i.e. "not applicable") while the service actually needsts/node_modules, which was missing. The guard reported the repo healthy while its launchd job had been crash-looping 11,593 times. Enumerate instead:find "$repo" -name package.json -not -path '*/node_modules/*' -maxdepth 3 \ | while read -r m; do d=$(dirname "$m"); [ -d "$d/node_modules" ] || echo "MISSING $d/node_modules"; done find "$repo" -name pyproject.toml -not -path '*/.venv/*' -maxdepth 3 \ | while read -r m; do d=$(dirname "$m"); [ -d "$d/.venv" ] || echo "MISSING $d/.venv"; doneAlso note a Python venv can be present and still incomplete:
uv syncinstalls only the default dependency group.tascdeclared its embedding deps under[dependency-groups] embed, so the venv existed, importedpymupdffine, and failed onimport numpyuntiluv sync --group embedwas run. A directory existing is not the same as the dependencies being installed — where a repo documents a group/extra, restore it.
Caveats:
pgrep -fl 'cargo build|rustc|zig build' first — never delete artifacts for a repo whose build/test is currently running.cargo clean (run per-repo) is the tool-native equivalent of rm -rf target if you prefer.Find large files that have not been accessed in 180+ days.
/usr/bin/env bash << 'STALE_EOF'
echo "=== Large forgotten files (>50MB, untouched 180+ days) ==="
echo ""
# Scan home directory (excluding Library, node_modules, .git, hidden dirs)
find "$HOME" -maxdepth 4 \
-not -path '*/\.*' \
-not -path '*/Library/*' \
-not -path '*/node_modules/*' \
-not -path '*/.git/*' \
-type f -atime +180 -size +50M 2>/dev/null | \
while read -r f; do
mod_date=$(stat -f '%Sm' -t '%Y-%m-%d' "$f" 2>/dev/null)
size=$(du -sh "$f" 2>/dev/null | cut -f1)
echo "${mod_date} ${size} ${f}"
done | sort
echo ""
echo "=== Documents & Desktop (>10MB, untouched 180+ days) ==="
find "$HOME/Documents" "$HOME/Desktop" \
-type f -atime +180 -size +10M 2>/dev/null | \
while read -r f; do
mod_date=$(stat -f '%Sm' -t '%Y-%m-%d' "$f" 2>/dev/null)
size=$(du -sh "$f" 2>/dev/null | cut -f1)
echo "${mod_date} ${size} ${f}"
done | sort
STALE_EOF
1. Apparent size ≠ allocated size (sparse files). ls -l and find -size
report the file's logical extent; du reports blocks actually on disk. A
corrupted index or a database with a runaway seek produces a sparse file where
these differ by orders of magnitude. Measured 2026-08-03 on a ChromaDB HNSW file:
ls -l link_lists.bin -> 2831.5 GB (apparent — impossible on a 926 GB disk)
du -h link_lists.bin -> 174 GB (actual)
Always size candidates with du. If ls -l reports more than the disk holds,
you have found a sparse file — and usually a bug worth reporting upstream, not
just disk to reclaim. Never cp such a file (a naive copy expands the holes).
2. Applications quarantine their own wreckage — look for self-labelled dirs. Well-behaved data stores rename a damaged collection rather than deleting it, and the new name states the diagnosis. Grep the biggest directory for these markers:
find "$BIG_DIR" -maxdepth 2 -name '*corrupt*' -o -name '*.drift-*' \
-o -name '*.pre-rebuild-*' -o -name '*.bak-*' -o -name '*.quarantine*'
Before deleting one, prove it is unreferenced and superseded:
lsof -p <pid> | grep <dir> returns 0;Real case: ~/.mempalace had grown to 190 GB, of which 175 GB was one
directory named <uuid>.corrupt-20260802-160712.drift-20260802-160712 — the app
had already diagnosed and set aside the damage from a 3-day crash loop, and a
healthy 882 MB collection had replaced it. Deleting it took the volume from 82 %
to 60 % full in one command.
| Type | Typical Location | Example |
|---|---|---|
| Windows/Linux ISOs | Documents, Downloads | .iso files from VM setup |
| CapCut/iMovie exports | Movies/ | Large .mp4 renders |
| Phone video transfers | Pictures/, DCIM/ | .MOV files from iPhone |
| Old Zoom recordings | Documents/ | .aac, .mp4 from meetings |
| Orphaned downloads | Documents/ | CFNetworkDownload_*.mp4 |
| Screen recordings | Documents/, Desktop/ | Capto/QuickTime .mov |
| TTS debug WAV | ~/.local/share/tts-debug-wav/, ~/.local/share/kokoro-debug*/ | Debug-mode TTS audio captures — can grow 1-2 GB/day if debug mode left on. Safe to rm -rf the contents. Root cause for ~/.local/share/tts-debug-wav (claude-tts-companion): retention is gated by a compile-time #if DEBUG in AfplayPlayer.swift — there is NO runtime env/config toggle. A RELEASE build deletes each WAV after playback via PlaybackDelegate. The permanent fix is reinstalling the companion as a release build (make in the plugin dir, which runs swift build -c release), not a pruner script. For other TTS tools, look for a tts-prune mise task or tighter retention config |
Use AskUserQuestion with multi-select to let the user choose what to clean.
~/Downloads with dates and sizes/usr/bin/env bash << 'DL_LIST_EOF'
echo "=== Downloads by date and size ==="
find "$HOME/Downloads" -maxdepth 1 \( -type f -o -type d \) ! -path "$HOME/Downloads" | \
while read -r f; do
mod_date=$(stat -f '%Sm' -t '%Y-%m-%d' "$f" 2>/dev/null)
size=$(du -sh "$f" 2>/dev/null | cut -f1)
echo "${mod_date} ${size} $(basename "$f")"
done | sort
DL_LIST_EOF
When presenting Downloads cleanup options, use this pattern:
| Tool | Wall Time | CPU Usage | Interactive Delete | Install |
|---|---|---|---|---|
| dust | 20.4s | 637% (parallel) | No (view only) | brew install dust |
| gdu-go | 28.8s | 845% (very parallel) | Yes (TUI) | brew install gdu |
| dua-cli | 37.1s | 237% (moderate) | Yes (staged safe delete) | brew install dua-cli |
| ncdu | 96.6s | 43% (single-thread) | Yes (TUI) | brew install ncdu |
dust for quick "where is my space going?" - fastest scanner, tree outputdua i or gdu-go for interactive exploration with deletion# dust - instant tree overview
dust -d 2 ~ # depth 2
dust -r ~/Library # reverse sort (smallest first)
# dua - interactive TUI with safe deletion
dua i ~ # navigate, mark, delete with confirmation
# gdu-go - ncdu-like TUI, fast on SSDs
gdu-go ~ # full TUI with delete support
gdu-go -n ~ # non-interactive (for scripting/benchmarks)
brew install dust dua-cli gdu
Note: gdu installs as gdu-go to avoid conflict with coreutils.
Ordered by typical space reclaimed (highest first):
| Action | Typical Savings | Risk | Command |
|---|---|---|---|
Rust target/ dirs (Phase 2.5) | 10-60 GB+ | None (cold rebuild on next cargo build) | find ROOTS -type d -name target + Cargo.toml-sibling guard |
Python .venv dirs (Phase 2.5) | 5-20 GB | None (re-sync via uv sync) | find ROOTS -type d -name .venv -prune -exec rm -rf {} + |
go clean -cache | 5-25 GB | None (re-downloads) | go clean -cache |
uv cache prune | 5-40 GB | None (drops only unused entries) | uv cache prune (check lsof ~/.cache/uv/.lock first) |
brew cleanup --prune=all | 3-10 GB | None (re-downloads) | brew cleanup --prune=all |
| Delete movie files in Downloads | 2-10 GB | Check first | Manual after AskUserQuestion |
| Prune old rustup toolchains | 2-5 GB | Keep current | rustup toolchain list then rustup toolchain uninstall <name> |
| Prune stale mise toolchains | 0.5-3 GB | Cross-check .mise.toml pins first | mise ls, then mise uninstall <tool>@<version> |
npm cache clean --force | 0.5-2 GB | None (re-downloads) | npm cache clean --force |
pip cache purge | 0.5-2 GB | None (re-downloads) | pip cache purge |
| Docker system prune | 5-30 GB | Removes stopped containers | docker system prune -a |
| Empty Trash | Variable | Irreversible | find ~/.Trash -mindepth 1 -delete (NOT rm -rf ~/.Trash/*) |
After modifying this skill:
/usr/bin/env bash << 'EOF' wrapper$HOME)| Issue | Cause | Solution |
|---|---|---|
uv cache clean hangs / times out after 300 s | Lock held by a uv process — often a persistent launchd daemon, so it never releases | lsof ~/.cache/uv/.lock to name the holder, THEN choose. Never blind --force. Prefer uv cache prune. See "uv cache lock" in Phase 2 |
rm -rf ~/.Trash/* aborts with no matches found and exits 1 | The shell is zsh, whose default nomatch makes an unmatched glob a fatal error — so rm never runs, and the non-zero status can abort a set -e script or be misread as a failed delete | Use find ~/.Trash -mindepth 1 -delete, which is glob-free, handles spaces/brackets in the movie-release filenames, and is a no-op on an empty Trash |
brew cleanup frees 0 bytes | Already clean or formulae linked | Run brew cleanup --prune=all |
find reports permission denied | System Integrity Protection | Add 2>/dev/null to suppress |
gdu command not found | Installed as gdu-go | Use gdu-go (coreutils conflict) |
dust shows different size than df | Counting method differs | Normal - df includes filesystem overhead |
| Stale file scan is slow | Deep directory tree | Limit -maxdepth or exclude more paths |
| Docker not accessible | Desktop app not running | Start Docker.app or skip Docker cleanup |
parse error near TASK_ID=$(pueue add ...) from heredoc with spaced paths | A user shell hook (e.g. pueue submission) re-parses the command string and breaks on ${var}/Path With Spaces/* globs inside heredocs | Write multi-line scripts to /tmp/<name>.sh first via Write tool, then invoke as bash /tmp/<name>.sh — bypasses the inline heredoc → hook re-quote path entirely |
| Removing a mise toolchain triggers immediate auto-reinstall | A project's .mise.toml pins the version you just removed; mise restores it on next invocation from that project | Before mise uninstall <tool>@<version>, grep all reachable .mise.toml and mise.toml files for the version. If pinned, leave it alone or update the pin first. Same applies to rustup toolchains vs. rust-toolchain.toml files in projects. |
If the user's shell environment has bash hooks that intercept tool calls (pueue, asciinema, etc.) and the heredoc pattern fails with cryptic parse errors, write the script to a temp file and invoke it:
# Instead of: bash << 'EOF' ... EOF
# Use: Write tool → /tmp/<task>.sh, then:
bash /tmp/<task>.sh
Single-line bash invocations like du -sh "$HOME/Library/Application Support"/Google/* 2>/dev/null | sort -rh | head work fine even with hooks installed — only multi-line heredocs containing spaced-path globs are problematic.
After this skill completes, reflect before closing the task:
Do NOT defer. The next invocation inherits whatever you leave behind.
Frequently asked questions
Audit disk usage, clean developer caches, find forgotten large files, and triage Downloads on macOS.
The source record exposes this install command: npx skills add https://github.com/terrylica/cc-skills --skill "plugins/devops-tools/skills/disk-hygiene". Inspect the command and pinned source before running it.
Static rules flagged read-files, exec-script, write-files in the source; the page lists the matching lines and excerpts.
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App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklist
equinor/neqsim
Engineering deliverable quality — the nine analytical-depth moves (contributor ranking, adjudicating the source document, quantitative rule-outs, robustness crossover, conservatism direction, discriminating test), results.json schema, figure→discussion→linked_results traceability, evidence matrices, assumptions/gaps registers, citation conventions, KaTeX math formatting, units consistency, executive-summary structure, AACE class declaration. USE WHEN: producing a task report, a PEPR/M1/root-caus
JasonColapietro/suede-creator-skills
Suede-owned experimentation discipline for hypotheses, sample sizing, test duration, significance, and repeatable experiment programs. Use when comparing variants, deciding whether a result is reliable, or building an experiment backlog and cadence. NOT FOR: analytics instrumentation (use suede-analytics), post-click conversion diagnosis (use suede-site-alchemy), or writing the variant copy itself (use suede-copy).