maintaining-windows-health

name

maintaining-windows-health

description

Hands-on playbook for Windows 11 disk cleanup, dev-machine optimization, and proactive health alerting. Use when the PC is full or slow, when a BSOD / Kernel-Power 41 / crash dump / commit-memory pressure happened, when the user asks to free disk space, audit storage, set up disk/memory alerts, or restore the same monitoring on a new PC. Built around native Microsoft-supported tooling (Storage Sense, cleanmgr, DISM, pnputil, vssadmin, wevtutil, powercfg) as the safety floor, a drift-protected HTML cleanup UI, and a Task Scheduler + BurntToast alerter. Covers dev machines with heavy AI/Docker/WSL workloads. Not for general Windows support, hardware diagnostics, GPU/driver troubleshooting, antivirus/malware removal, Windows Update repair, networking, or app-specific performance problems unrelated to disk or memory pressure.

Maintaining Windows 11 Health

Recovery and prevention playbook for Windows 11 disk and memory crises. A Windows port of the maintaining-macos-health skill: same three layers (triage → tiered recovery → automation/alerting) and the same safety invariant — scan → JSON → user picks in a UI → apply deletes only what was picked — but with Windows-native tooling and Windows-specific "never touch" rules. The same playbook works for routine cleanup or first-time setup on a new machine.

Table of contents

• When to use
• Skill layout
• Core mental model
• Standard workflows
  • A. "Free space NOW" (incident response)
  • B. "Set up alerting" (new machine or first time)
  • C. Alerter stopped working / making noise
  • D. "Uninstall an app cleanly"
• Safety rules (non-negotiable)
• Domain quirks captured
• Outcomes scale

When to use

Trigger on any of:

• Disk free < 20 % or user complains about being out of space
• BSOD / unexpected reboot / Kernel-Power 41 / WHEA error / a new crash dump in C:\Windows\Minidump
• "PC is slow", commit pressure high (% Committed Bytes In Use > 85), pagefile growing
• User wants to set up monitoring/alerting from scratch
• Migration to a new Windows PC → restore the same alerter
• General "clean my PC" / "audit storage" / "free space" requests

Skill layout

File	Use for
references/triage.md	First 5 minutes — which signal fired (disk / commit-memory / BSOD-crash / "feels slow"), read-only snapshot
references/cleanup-tiers.md	Tiered cleanup playbook (10 tiers, low-risk → discuss-first), copy-paste-safe PowerShell blocks
references/never-touch.md	Categories that must not be deleted even elevated (hard-protected prefixes synced with the validator + Windows-only dangers)
references/native-tools.md	The safety floor: native Microsoft tooling, project-artifact purge marker→target map, the apply-script validator rules, third-party caveats
references/alerting.md	Full alerter design: 3 CRITICAL-only triggers, hysteresis, calibration, Task Scheduler interactive session, BurntToast + ntfy, S0ix/battery
assets/win-health-check.ps1	Production PowerShell monitor (PS 5.1 compatible)
assets/win-health-check.config.ps1	Default thresholds
assets/Install-WinHealthCheck.ps1	Registers the scheduled task in the interactive user session; -Test / -Uninstall
assets/Audit-WinHealth.ps1	Read-only preflight inventory (drives, Component Store, shadow storage, profiles, drivers, CFA, KFM, BitLocker, reparse points, dumps)
assets/render-cleanup-plan.py	Interactive HTML cleanup-plan UI. Renders categorised checkboxes from a JSON of scan findings, serves on 127.0.0.1:18347, opens the browser, waits for the user's selection, writes it to %TEMP%\cleanup-selection-<ts>.json. Used by Workflow A. Requires Python 3.
assets/apply-cleanup-selection.py	The only sanctioned way to apply a cleanup selection. Reads selected_items from a selection JSON and executes each item's command via PowerShell. Windows-rewritten validator (NTFS canonicalization, deny/allow longest-prefix, provider/UNC/ADS/8.3/chaining refusal, two-tier wrappers) + operations log. Supports --dry-run.
assets/test_validate_command.py	Adversarial unit tests for the validator — the safety-core gate. Runs on any OS.

Read the relevant reference before acting. Do NOT operate from memory of these files — the details are calibrated to Windows-specific failure modes and small changes break safety.

Core mental model

1. Native tooling is the safety floor. Unlike macOS (Mole), Windows has no mature community safety tool — so Storage Sense / Cleanup recommendations / cleanmgr / DISM do the heavy lifting, and the apply-script validator is the only line behind project-artifact purge. Use the supported command for anything the OS maintains itself.
2. Clean with commands, not by deleting folders. WinSxS → DISM; Driver Store → pnputil; shadow copies → vssadmin; Event Logs → wevtutil; hiberfil → powercfg. Hand-deleting these corrupts the OS.
3. Commit %, not "available MB", is the memory signal. Available MBytes includes reclaimable standby/cache; commit-limit exhaustion is the real Windows OOM.
4. Drift protection via the selection JSON. The HTML UI writes exactly what the user picked; apply-cleanup-selection.py deletes only selected_items. Never hand-roll Remove-Item in the apply phase.
5. Escalate conservatively. Start zero-risk (Storage Sense, caches, Recycle Bin), only reach project artifacts, Docker/WSL VHDX, Component Store, and elevated/discuss-first tiers if needed.

Standard workflows

A. "Free space NOW" (incident response)

1. Triage — read references/triage.md, identify which signal fired and how urgent. Run assets/Audit-WinHealth.ps1 (read-only) for the preflight inventory (drives, Component Store, shadow storage, drivers, CFA / OneDrive KFM / BitLocker / reparse points).
2. Snapshot baseline — record free GB on the target drive.
3. Run all scans, don't delete yet — work the tiers in references/cleanup-tiers.md in inventory mode (list candidates, sizes, ages), including the large-file visibility pass. Capture everything before opening the browser; deletion comes only after the user picks via the UI. The cleanup UI should be a single final questionnaire containing safe cleanup candidates, protected/discuss-first items, and large suspicious user/workload files together, not a sequence of separate UI rounds.
4. Python gate — the cleanup UI needs Python 3. Check for a real interpreter (py -3 --version, or a python.exe that isn't the Microsoft Store alias). If Python is missing, ask the user for permission to install it (winget install Python.Python.3.12), then continue. Do not silently skip the UI.
5. Resolve unknown items before building JSON — for every candidate > 500 MB you cannot explain in one sentence (unfamiliar app/folder, vendor cache, VM/VHDX, model weights), research it first: check references/never-touch.md, then delegate a quick lookup to the web-searcher subagent ("what is <path> on Windows 11, safe to delete in 2026"). Write a concrete description (1–3 sentences in the user's language) into the item. Never show vague placeholders like "unknown".
6. Show large-but-not-safe items too — any explainable item > 500 MB that is user-owned or workload-owned but not a safe cache must still appear in the same final UI, normally protected: true, default_selected: false, with a concrete warning. Examples: old .7z/.zip/.iso archives, .gguf/.safetensors model weights, project/game assets, app diagnostic dumps, profiler snapshots, synced-folder media, and VHDX files. Visibility is required because only the user can know whether these are still needed. Do not include hard-protected system internals as bare-delete candidates; show them only through supported tools, or omit deletion entirely if no supported action exists.
7. Build one data JSON — every candidate becomes a structured item (id, label, path, size_bytes, age_days, kind, PowerShell command, mandatory description, optional protected + warning). Use the schema in assets/render-cleanup-plan.py. Irreversible-tool commands (DISM /ResetBase, vssadmin delete, wevtutil cl, pnputil /delete-driver, powercfg /h off) should be marked protected: true. Do not open the UI until this unified JSON contains both safe default-selected items and protected unchecked items.
8. Render and open the cleanup UI:

   python3 <skill>\assets\render-cleanup-plan.py %TEMP%\cleanup-data-<ts>.json
   

   It serves on 127.0.0.1:18347, opens the browser, and blocks until Submit/Cancel. On submit it writes %TEMP%\cleanup-selection-<ts>.json. Tell the user out loud: "браузер открыт — поставь галочки, нажми Submit, потом пингани меня." Then stop and wait.
9. After the user pings — read the selection JSON, render their choices back in chat (categories, item list, total GB, any protected overrides flagged), and ask one explicit confirmation before deleting.
10. Apply via the helper — never hand-rolled Remove-Item:

python3 <skill>\assets\apply-cleanup-selection.py %TEMP%\cleanup-selection-<ts>.json
#   add --scan-root D:\projects to allow bare deletes on an external dev drive

It reads selected_items, validates each command (NTFS canonicalization, deny/allow longest-prefix, provider/UNC/ADS/8.3/chaining refusal), skips protected items not in protected_overrides, runs each via powershell.exe, and logs to %LOCALAPPDATA%\win-health\operations.log. --dry-run previews. The selection JSON is the single source of truth. 11. Post-check — report the free-space delta, then Dism /Online /Cleanup-Image /CheckHealth + sfc /scannow to confirm nothing was broken. Stop at the goal.

Hard-protected items (per references/never-touch.md) must always appear in the UI with "protected": true + a concrete warning — the UI dims them and requires a per-item confirm before they can be checked. Never omit a protected item user data depends on; visibility teaches the surrounding risk.

B. "Set up alerting" (new machine or first time)

Run a non-elevated PowerShell as the user who should receive alerts (interactive session — required for toasts):

cd <skill>\assets
.\Install-WinHealthCheck.ps1     # installs BurntToast, copies script+config, registers the task, runs once

Then read references/alerting.md for tuning. The task is registered in the interactive user session (NOT SYSTEM — that silently swallows toasts), every 5 minutes, -StartWhenAvailable, battery-friendly. The first 7-day calibration window is silent (logs only). Verify with .\Install-WinHealthCheck.ps1 -Test.

C. Alerter stopped working / making noise

Read references/alerting.md § Troubleshooting. Common causes:

• Task running as SYSTEM / "whether user is logged on or not" → toasts silently never render. Re-run the installer (interactive principal).
• BurntToast not installed → toast attributed to "PowerShell" or absent. Install-Module BurntToast -Scope CurrentUser.
• Laptop never checks → was AC-only / paused in sleep. Re-run installer (battery flags + -StartWhenAvailable).
• Constant alerts during heavy work → create %LOCALAPPDATA%\win-health\silent, raise thresholds, or increase hysteresis.

D. "Uninstall an app cleanly"

Prefer winget uninstall --id <App.Id> (clean, supported). For apps with stubborn leftovers, BCUninstaller (review the leftover list) is the dev-friendly option. Never hand-delete Program Files install dirs or registry keys to "remove" an app — that orphans the MSI/uninstall state. Always confirm before removing user data folders.

Safety rules (non-negotiable)

1. Never delete without dry-run + user confirmation for any tier ≥ 5 or any elevated operation.
2. Never bypass references/never-touch.md — even if the user explicitly asks. Push back, explain the consequence.
3. Clean with commands, not folders. WinSxS via DISM, Driver Store via pnputil, shadows via vssadmin, logs via wevtutil (export before clear), hiberfil via powercfg. Never Remove-Item these.
4. The registry is never a cleanup target. No registry cleaners (Microsoft-unsupported). The validator refuses registry-provider deletes.
5. Apply phase reads only the selection JSON. Never hand-roll Remove-Item or hard-code paths from the earlier scan when applying — that's how you delete items the user unchecked. Use assets/apply-cleanup-selection.py, which iterates selected_items only.
6. Remove-Item is permanent (no Recycle Bin) and recursive deletes can escape through junctions — always -LiteralPath, never recurse a reparse point. Prefer move-to-quarantine when the user is unsure.
7. No auto-cleanup tied to alerts. Alerts notify; the human decides.
8. Keep crash dumps until triaged — they're forensic evidence, not cleanup.

Domain quirks captured

• SYSTEM session can't show toasts. A scheduled task as SYSTEM executes but its toasts silently no-op (Session 0 has no desktop). Register the task in the interactive user session — the Windows analog of the macOS "osascript → Script Editor" trap.
• Remove-Item -Recurse follows junctions and can delete the target's contents — the classic data-loss bug. Dev trees are full of junctions (npm/pnpm store, Docker, WSL). Use -LiteralPath; never recurse a FILE_ATTRIBUTE_REPARSE_POINT.
• Remove-Item bypasses the Recycle Bin — deletion is immediate and permanent, unlike dragging to the bin.
• OneDrive KFM redirects Desktop/Documents/Pictures into OneDrive — deleting there propagates to all devices. Files On-Demand placeholders (RECALL_ON_DATA_ACCESS/OFFLINE) are cloud originals; deleting the stub deletes the cloud file.
• Controlled Folder Access blocks deletes in Documents/Pictures/Desktop with Access Denied from Defender — distinguish from a real error.
• Available MBytes includes standby/cache — high "available" doesn't mean healthy; commit-limit exhaustion is the real OOM signal.
• pagefile.sys and swapfile.sys are two different files; C:\Windows\Installer + Package Cache break MSI repair if deleted; Prefetch should not be cleaned (myth).
• Modern Standby (S0ix) makes wake timers unreliable and hides S3 — normal, not a fault. The task pauses in sleep and catches up on wake via -StartWhenAvailable.
• General rule: if you can't describe a folder in one sentence (especially > 500 MB), don't guess — delegate a web-searcher lookup before writing the item's description. If you can describe it but it may be user data, still show it in the single final cleanup UI as protected and unchecked by default.

Outcomes scale

A representative recovery on a dev machine that hit ~8 % free under heavy AI/Docker/WSL load:

• Largest single contribution: project build artifacts (node_modules, bin/obj, target, .next) via Tier 7 purge.
• WSL2 / Docker *.vhdx compaction (not deletion): often 10–40 GB reclaimed.
• Component Store cleanup via DISM after many cumulative updates: a few GB.
• Package-manager caches (npm/pnpm/NuGet/pip/cargo/gradle): a few GB.
• Downloads review (old installers, ISOs): variable, often 10–20 GB.
• Elevated tier (Windows.old after rollback check, Delivery Optimization, exported+cleared logs): variable.

Active alerter installed with a 7-day calibration window; verified via the synthetic disk-trigger test before going live. Numbers scale with workload and disk size — light users see less; heavy AI/Docker/WSL/IDE users see more.