Ops Speedup

Runtime Context

Before scanning, load:

1. Preferences: cat ${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.json — read timezone for timestamps

OPS > SPEEDUP — System Optimizer

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

Architecture

The bin/ops-speedup binary is the single source of truth for probes AND actions. This skill's job is to:

1. Call the binary with the right flags based on user intent
2. Parse the JSON
3. Present a health score + cleanup report
4. Confirm destructive actions per plugin Rule 5
5. Invoke the binary's clean/deep/aggressive modes to execute

CLI Reference — bin/ops-speedup

All modes:

• Auto-detect OS (macOS / Linux / WSL / Windows) and dispatch OS-specific ops
• Idempotent — skip DerivedData/Metro/journal if last run was <1h ago
• Write telemetry to ~/.ops-speedup/history.jsonl
• Only raise kernel tuning parameters, never lower
• Protected processes list blocks killing of shells, IDEs, daemons

OS-specific capabilities

Phase 1 — Visual header

${CLAUDE_PLUGIN_ROOT}/bin/ops-speedup 2>/dev/null || echo "SCAN_FAILED"

Phase 2 — Full diagnostic scan (parallel, all probes)

${CLAUDE_PLUGIN_ROOT}/bin/ops-speedup --scan 2>/dev/null || echo '{}'

The binary already runs all probes in parallel. Do NOT add additional serial probe calls from this skill — they will duplicate work that's already in the JSON output.

Phase 3 — Health score + cleanup report

Parse the JSON and render:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS > SYSTEM SPEEDUP — [os] [os_version] [chip]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

 HEALTH SCORE: [health.score] / 100  [runtime-first: health.model]

 RUNTIME
 ────────────────────────────────────────────────────
 CPU idle:     [runtime.cpu_idle_pct]%  user/sys: [runtime.cpu_user_pct]/[runtime.cpu_sys_pct]%
 Load:         [runtime.load1] / [runtime.load5] / [runtime.load15]
 Processes:    [runtime.processes] total, [runtime.running] running, [runtime.stuck] uninterruptible, [runtime.zombies] zombies

 GPU
 ────────────────────────────────────────────────────
 Device:       [gpu.device_util_pct]%   Renderer: [gpu.renderer_util_pct]%   Tiler: [gpu.tiler_util_pct]%
 GPU memory:   [gpu.mem_in_use_mb] MB in use / [gpu.mem_allocated_mb] MB allocated

 PID AUDIT
 ────────────────────────────────────────────────────
 Current CPU hogs:       [len(cpu_hogs)] (two samples >30%, not one spike)
 Power hogs:             [len(power_hogs)]
 Long-lived heavy PIDs:  [runtime.long_lived_hogs] actionable / [runtime.long_lived_hogs_total] total (>=3h and high average/current CPU)
 Health factors:         [health.factors or none]

 MEMORY
 ────────────────────────────────────────────────────
 Pressure:    [memory.pressure_pct]% free    Swap: [memory.swap_mb] MB    Free: [memory.free_mb] MB

 NETWORK / TCP
 ────────────────────────────────────────────────────
 Interface:   [network.iface]      DNS: [network.dns_ms]ms
 TCP states:  CLOSE_WAIT [runtime.tcp_close_wait]      TIME_WAIT [runtime.tcp_time_wait]

 DISK (secondary signal; cache size alone does not lower health)
 ────────────────────────────────────────────────────
 brew cache          [N] MB              ✓ safe
 npm cache           [N] MB              ✓ safe
 pnpm cache          [N] MB              ✓ safe
 Xcode DerivedData   [N] MB              ✓ safe
 Xcode DeviceSupport [N] MB              ✓ safe
 Docker reclaimable  [N] MB              ⚠ only prune after checking live containers
 Metal shader cache  [N] MB              ✓ safe
 Trash               [N] MB              ✓ safe
 Logs                [N] MB              ✓ safe
 Downloads           [N] MB              ⚠ review
 Caches (general)    [N] MB              ⚠ review
 /tmp                [N] MB              ✓ safe
 apt/journal         [N] MB              ✓ safe (linux)
 ────────────────────────────────────────────────────
 TOTAL RECLAIMABLE:  [N] GB

 STARTUP (informational)
 ────────────────────────────────────────────────────
 Login items:   [N]              (macOS)
 Launch agents: [N]              (macOS; raw count is not a health penalty)
 Failed units:  [N]              (Linux)
 Enabled units: [N]              (Linux)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Health score contract:

Use health.score from the binary. Do not recalculate it in the skill and do not lower health merely because caches, Trash, Downloads, or launch-agent counts are large. The runtime-first model penalizes only evidence of current pressure or actual risk:

• sustained low CPU idle / high runnable or uninterruptible process pressure
• memory pressure below 40%, swap over 1 GB, or zombie accumulation
• GPU utilization above 75/90%
• DNS over 100/500 ms, CLOSE_WAIT floods, or high TIME_WAIT accumulation
• long-lived heavy PIDs (alive at least 3h and high average/current CPU)
• disk only when it is genuinely scarce (90/97% used), never because cleanup is possible
• failed startup units, not the mere number of intentional launch agents

Phase 4 — Present cleanup choice (max 4 options per AskUserQuestion)

AskUserQuestion call 1 — Cleanup scope:

  [Quick — caches, tmp, logs, DNS flush (~[N] GB)]
  [Deep — + Trash, DerivedData, simulators, animation cuts (~[N] GB)]
  [Aggressive — + launch-agent unload, stale node_modules, docker volumes (~[N] GB)]
  [More options...]

AskUserQuestion call 2 (only if "More options..."):

  [Custom — pick categories]
  [Memory — kill top RAM hogs]
  [Startup / Network / Skip...]

AskUserQuestion call 3 (only if "Startup / Network / Skip..."):

  [Startup — review & disable launch agents / systemd units]
  [Network — flush DNS, tune TCP, BBR (aggressive)]
  [Skip — just show the report]

Phase 5 — Confirm destructive actions per Rule 5

Per plugin Rule 5, destructive actions require explicit per-action confirmation. Before running --aggressive:

About to run AGGRESSIVE cleanup. Each item is destructive:

  • Unload launch agents: [list]
  • Docker volume prune (may delete unmounted volumes): [N] MB
  • Stale node_modules (>14 days): [list of paths]
  • TCP congestion control → BBR (Linux only)

  [Proceed with all]  [Pick categories]  [Cancel]

If "Pick categories", batch per Rule 1 (max 4 options per AskUserQuestion).

Phase 6 — Execute

Invoke the binary directly — it handles OS detection and dispatch:

# Quick clean
${CLAUDE_PLUGIN_ROOT}/bin/ops-speedup --clean

# Deep clean
${CLAUDE_PLUGIN_ROOT}/bin/ops-speedup --deep

# Aggressive (after confirmation)
${CLAUDE_PLUGIN_ROOT}/bin/ops-speedup --aggressive

Memory hog killing (option 5 from Phase 4):

Top processes are already in the scan JSON (cpu_hogs / power_hogs). Present them in paginated AskUserQuestion calls (max 3 processes + [More...] per page, final page has [Kill selected] + [Skip]).

NEVER kill: kernel_task, launchd, WindowServer, loginwindow, Finder, Dock, systemd, init, shells (bash/zsh/fish), tmux, IDE processes (Cursor/Comet/Code), Claude, node, python, Xcode. The binary's PROTECTED_RE regex blocks these automatically.

Phase 7 — Results

After cleanup, re-scan and diff:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 OPS > CLEANUP COMPLETE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 Reclaimed:  [N] GB
 Disk free:  [before] GB → [after] GB
 RAM free:   [before] MB → [after] MB
 Swap:       [before] MB → [after] MB
 Health:     [before]/100 → [after]/100
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

History: ~/.ops-speedup/history.jsonl

If user came from /ops:dash, offer b) Back to dashboard.

Mode shortcuts

If $ARGUMENTS is:

• scan or empty — Phase 1-3 only (report, no cleanup)
• clean — run ops-speedup --clean automatically (safe)
• deep — run ops-speedup --deep automatically (after 1 confirmation)
• auto — run ops-speedup --clean automatically, print results
• aggressive — run ops-speedup --aggressive after per-item confirmations

Trend analysis

~/.ops-speedup/history.jsonl is append-only. For trend questions ("is my disk filling up?", "is swap growing over time?"), read + graph:

tail -30 ~/.ops-speedup/history.jsonl | jq -r '[.ts, .ram_free_mb, .swap_mb, .disk_pct] | @tsv'