macOS Performance Monitor

Vitals

by danielmiessler · MIT license · ★ 19,269 on GitHub · v1.0.0

Vitals cover

macOS system performance diagnostics — see how the machine is running and what's slowing it down: CPU/GPU/memory/energy hogs, thermal throttling, memory and swap pressure, disk usage, Spotlight indexing, launchd/startup load, via a…

---
name: Vitals
version: 1.0.0
description: "macOS system performance diagnostics — see how the machine is running and what's slowing it down: CPU/GPU/memory/energy hogs, thermal throttling, memory and swap pressure, disk usage, Spotlight indexing, launchd/startup load, via a deterministic read-only CLI with known-process interpretation (kernel_task, WindowServer, mds_stores). USE WHEN mac slow, system slow, what's slowing down my mac, computer is slow, what's eating CPU, CPU usage, GPU usage, what's using the GPU, memory pressure, RAM usage, swap, runaway process, fans loud, mac running hot, thermal throttling, system health, check my mac, how's my system running, top processes, energy hogs, activity monitor, startup items, launch agents load, system taxed. NOT FOR network/wifi diagnostics, website or deployed-app health monitoring, or security scanning."
---

# Vitals

Read-only macOS performance inspection: a deterministic CLI gathers the numbers, `Interpretation.md` turns them into a diagnosis instead of a data dump.

## Customization

**Before executing, check for user customizations at:**
`~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Vitals/`

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

## Voice Notification

Overview

Read-only macOS performance inspection: a deterministic CLI gathers the numbers, Interpretation.md turns them into a diagnosis instead of a data dump.

Manual install (npx, ZIP)
Claude Codenpx skills add danielmiessler/LifeOS --skill Vitals -g -a claude-code
Claude Code (degit)npx degit danielmiessler/LifeOS/LifeOS/install/skills/Vitals#main ~/.claude/skills/vitals
Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

  • SKILL.md4.8 KB
Read SKILL.md here
danielmiessler/main1 file shown
SKILL.md
Show the full text87 lines

Vitals

Read-only macOS performance inspection: a deterministic CLI gathers the numbers, Interpretation.md turns them into a diagnosis instead of a data dump.

Customization

Before executing, check for user customizations at: ~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Vitals/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

Voice Notification

When executing a workflow, do BOTH:

  1. Send voice notification:

    curl -s -X POST http://localhost:31337/notify \
      -H "Content-Type: application/json" \
      -d '{"message": "Running WORKFLOWNAME in Vitals"}' \
      > /dev/null 2>&1 &
    
  2. Output text notification: Running **WorkflowName** in **Vitals**...

Workflow Routing

Workflow Trigger File
HealthCheck "how's my system", "check my mac", "system health" Workflows/HealthCheck.md
FindCulprit "mac is slow", "what's eating CPU/GPU/memory", "fans loud" Workflows/FindCulprit.md
DeepDiagnosis "full diagnosis", "deep check", chronic/recurring slowness Workflows/DeepDiagnosis.md

Interpretation reference (load with any workflow): Interpretation.md — thresholds, known-process table, diagnosis shape.

Quick Reference

bun ~/.claude/skills/Vitals/Tools/Vitals.ts check     # fast snapshot (<1s)
bun ~/.claude/skills/Vitals/Tools/Vitals.ts hogs      # live per-process CPU/energy (~3s)
bun ~/.claude/skills/Vitals/Tools/Vitals.ts full      # everything (~4s)
# also: gpu · memory · disk · thermal · startup · --json · --top N

The tool is read-only by contract: it never kills, renices, unloads, or writes system state. Remediation is recommended to the operator, never executed by the skill.

Examples

Example 1: Something feels slow

User: "My Mac is dragging, what's going on?"
→ FindCulprit: run hogs + check + gpu
→ Cross-reference Interpretation.md (is the hog a known background process?)
→ Report: named culprit with two evidence classes, recommended action for approval

Example 2: Routine check

User: "How's my system doing?"
→ HealthCheck: run check
→ One-screen verdict: 🟢/🟡/🔴 per subsystem, abnormalities flagged against thresholds

Example 3: Fans blasting

User: "Why are my fans so loud?"
→ FindCulprit: thermal + hogs + gpu
→ If kernel_task is the top consumer: that IS the cooling response — report the thermal cause, not the process

Gotchas

  • top's first sample is garbage — CPU% is cumulative since boot. The tool always runs -l 2 and parses the SECOND sample; never "optimize" this away.
  • ps -m does not reliably sort by memory on modern macOS (observed mis-ordering by GB-scale RSS). The tool sorts in code; keep it that way.
  • kernel_task high CPU is the thermal system working, not a runaway process — it pins cores to force cooling. Never recommend killing it.
  • macOS "used" memory is not a problem signal. Free RAM is deliberately spent on cache; kern.memorystatus_vm_pressure_level (1 normal / 2 warning / 4 critical) and live swapouts are the real signals.
  • powermetrics requires sudo and runs forever without -n. It's the only accurate source of per-process energy and GPU power — keep it as the optional consent-gated leg in DeepDiagnosis.
  • top -l truncates command names (~16 chars) regardless of COLUMNS in logging mode. Use the PID to identify the full process (ps -p <pid> -o comm=).
  • GPU via ioreg -c IOAccelerator works without sudo on Apple Silicon (Device Utilization % in PerformanceStatistics) but is not guaranteed on every GPU — the tool degrades to an explicit unavailable-message, never a silent blank.
  • pmset -g therm may not report CPU_Speed_Limit on desktops — the tool treats a missing key as not-throttled rather than erroring.
1---
2name: Vitals
3version: 1.0.0
4description: "macOS system performance diagnostics — see how the machine is running and what's slowing it down: CPU/GPU/memory/energy hogs, thermal throttling, memory and swap pressure, disk usage, Spotlight indexing, launchd/startup load, via a deterministic read-only CLI with known-process interpretation (kernel_task, WindowServer, mds_stores). USE WHEN mac slow, system slow, what's slowing down my mac, computer is slow, what's eating CPU, CPU usage, GPU usage, what's using the GPU, memory pressure, RAM usage, swap, runaway process, fans loud, mac running hot, thermal throttling, system health, check my mac, how's my system running, top processes, energy hogs, activity monitor, startup items, launch agents load, system taxed. NOT FOR network/wifi diagnostics, website or deployed-app health monitoring, or security scanning."
5---
6 
7# Vitals
8 
9Read-only macOS performance inspection: a deterministic CLI gathers the numbers, `Interpretation.md` turns them into a diagnosis instead of a data dump.
10 
11## Customization
12 
13**Before executing, check for user customizations at:**
14`~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Vitals/`
15 
16If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
17 
18## Voice Notification
19 
20**When executing a workflow, do BOTH:**
21 
221. **Send voice notification**:
23 ```bash
24 curl -s -X POST http://localhost:31337/notify \
25 -H "Content-Type: application/json" \
26 -d '{"message": "Running WORKFLOWNAME in Vitals"}' \
27 > /dev/null 2>&1 &
28 ```
29 
302. **Output text notification**: `Running **WorkflowName** in **Vitals**...`
31 
32## Workflow Routing
33 
34| Workflow | Trigger | File |
35|----------|---------|------|
36| **HealthCheck** | "how's my system", "check my mac", "system health" | `Workflows/HealthCheck.md` |
37| **FindCulprit** | "mac is slow", "what's eating CPU/GPU/memory", "fans loud" | `Workflows/FindCulprit.md` |
38| **DeepDiagnosis** | "full diagnosis", "deep check", chronic/recurring slowness | `Workflows/DeepDiagnosis.md` |
39 
40**Interpretation reference (load with any workflow):** `Interpretation.md` — thresholds, known-process table, diagnosis shape.
41 
42## Quick Reference
43 
44```bash
45bun ~/.claude/skills/Vitals/Tools/Vitals.ts check # fast snapshot (<1s)
46bun ~/.claude/skills/Vitals/Tools/Vitals.ts hogs # live per-process CPU/energy (~3s)
47bun ~/.claude/skills/Vitals/Tools/Vitals.ts full # everything (~4s)
48# also: gpu · memory · disk · thermal · startup · --json · --top N
49```
50 
51The tool is read-only by contract: it never kills, renices, unloads, or writes system state. Remediation is recommended to the operator, never executed by the skill.
52 
53## Examples
54 
55**Example 1: Something feels slow**
56```
57User: "My Mac is dragging, what's going on?"
58→ FindCulprit: run hogs + check + gpu
59→ Cross-reference Interpretation.md (is the hog a known background process?)
60→ Report: named culprit with two evidence classes, recommended action for approval
61```
62 
63**Example 2: Routine check**
64```
65User: "How's my system doing?"
66→ HealthCheck: run check
67→ One-screen verdict: 🟢/🟡/🔴 per subsystem, abnormalities flagged against thresholds
68```
69 
70**Example 3: Fans blasting**
71```
72User: "Why are my fans so loud?"
73→ FindCulprit: thermal + hogs + gpu
74→ If kernel_task is the top consumer: that IS the cooling response — report the thermal cause, not the process
75```
76 
77## Gotchas
78 
79- **`top`'s first sample is garbage** — CPU% is cumulative since boot. The tool always runs `-l 2` and parses the SECOND sample; never "optimize" this away.
80- **`ps -m` does not reliably sort by memory** on modern macOS (observed mis-ordering by GB-scale RSS). The tool sorts in code; keep it that way.
81- **`kernel_task` high CPU is the thermal system working**, not a runaway process — it pins cores to force cooling. Never recommend killing it.
82- **macOS "used" memory is not a problem signal.** Free RAM is deliberately spent on cache; `kern.memorystatus_vm_pressure_level` (1 normal / 2 warning / 4 critical) and live swapouts are the real signals.
83- **`powermetrics` requires sudo and runs forever without `-n`.** It's the only accurate source of per-process energy and GPU power — keep it as the optional consent-gated leg in DeepDiagnosis.
84- **`top -l` truncates command names** (~16 chars) regardless of COLUMNS in logging mode. Use the PID to identify the full process (`ps -p <pid> -o comm=`).
85- **GPU via `ioreg -c IOAccelerator` works without sudo on Apple Silicon** (`Device Utilization %` in PerformanceStatistics) but is not guaranteed on every GPU — the tool degrades to an explicit unavailable-message, never a silent blank.
86- **`pmset -g therm` may not report `CPU_Speed_Limit` on desktops** — the tool treats a missing key as not-throttled rather than erroring.
87 
View all files on GitHub →

Details

Version
1.0.0
License
MIT
Stars on the repo
★ 19,269
Checked
Source
danielmiessler/LifeOS ↗
Creator
danielmiessler · 63 listings
View creator

Similar skills

See all →
SkillWiki Graph ExporterAr9av/obsidian-wiki · by Ar9avExport the Obsidian wiki's knowledge graph to structured formats for use in external tools. Use this skill when the user says "export wiki", "export graph", "export to JSON", "export to Gephi", export to Neo4j", "export to Postgres", "export to SQL", "graphml", "visualize wiki", knowledge graph export", "export to OKF", "OKF bundle", "open knowledge format", export as markdown bundle", or wants to use their wiki data in another tool. Outputs graph.json, graph.graphml, cypher.txt (Neo4j), postgres.sql (Postgres), and graph.html (interactive browser visualization) into a wiki-export/ directory at the vault root, plus an optional OKF (Open Knowledge Format) markdown bundle under wiki-export/okf/.★ 3.5k GitHub starsSkillWiki Page ImporterAr9av/obsidian-wiki · by Ar9avImport a wiki knowledge graph into the current vault — either from a graph.json export file (stubs) or from an OKF (Open Knowledge Format) markdown bundle (full page bodies). Use this skill when the user says "import wiki", "import from export", "load graph.json", import vault", "import OKF bundle", "import OKF", "load OKF", "import markdown bundle", /wiki-import", or wants to transfer pages from one vault to another using the output of wiki-export.★ 3.5k GitHub starsSkillTeam Knowledge Basecoreyhaines31/makerskills · by coreyhaines31Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so an agent can answer on your team's behalf. Team-scope sibling to second-brain. Modes — capture, compile (wiki pages + INDEX.md), query (trust-weighted, saved to outputs/), review (verify / deprecate / supersede stale captures), lint, connect, search. Structured raw dirs (people/, companies/, meetings/, sops/, decisions/, customer-language/, sales-objections/). Every capture stamps author, timestamp, and trust status. Optional sync from call transcripts, Slack/email exports, CRM. Vault at ${COMPANY_BRAIN_VAULT:-$HOME/Documents/CompanyBrain}/. Triggers on "/company-brain," "/cb," "capture this into the team brain," "log this meeting," "save this SOP," "compile the company wiki," "query the team brain," "what does the team know about X," "review the company brain," "lint the company brain," "who's the internal expert on X.★ 855 GitHub starsSkillObsidian Long-Term MemoryOotto-AI/claude-content-skills · by Ootto-AIGive Claude a permanent, searchable long-term memory using an Obsidian vault as the store. At the end of a session, summarize what mattered and save it as a Markdown note in your "AI Brain" vault; at the start of a session (or on demand), read back only the relevant past notes. Local markdown you own — connected via the Filesystem MCP. Trigger with "wrap up", "save this session", or "remember this".★ 139 GitHub starsSkillSession Memory SearchParcha-ai/parcha-skills · by Parcha-aiFind prior Claude Code and Codex sessions with an indexed local search engine, then continue the work, repeat it with fresh inputs, or distill it into a skill. Runs from Claude Code, Codex, or pi; the current index covers Claude Code and Codex transcripts. Use when the user names Recall, says "find that conversation where…", "what did we do last time about…", "continue what we did yesterday on X", "what did codex do on this branch", "turn what we did about Y into a skill", or "remember when you…". Not for searching code (use grep on the repo) or for facts already in MEMORY.md.★ 62 GitHub starsAgentPersistent Memory Servermodelcontextprotocol/servers · by modelcontextprotocolA basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across…★ 90.5k GitHub stars

More from danielmiessler

SkillScope Oscillation Analyzerdanielmiessler/LifeOS · by danielmiessler3-pass scope oscillation that holds a question constant while shifting zoom — narrow/tactical, wide/strategic, then synthesis — to surface design tensions, scope recommendations, and coherence assessments invisible at any single zoom level. USE WHEN aperture oscillation, oscillate scope, zoom in and out, tactical vs strategic, scope framing, design tension, system coherence check, local vs global design, wrong scope, scope negotiation. NOT FOR lens rotation across angles (use IterativeDepth).★ 19.3k GitHub starsSkillAphorism Library Managerdanielmiessler/LifeOS · by danielmiesslerCurated aphorism collection with CRUD — content-based matching, themed search, thinker research, DB maintenance. Quotes organized by author/theme/context/usage to prevent repetition. Four workflows: FindAphorism, AddAphorism, ResearchThinker, SearchAphorisms. Themes: Stoicism, Wisdom, Truth-seeking, Excellence, Resilience, Curiosity. USE WHEN aphorism, quote, find a quote, research thinker, add aphorism, quote for newsletter, what did X say about, quote bank. NOT FOR creative writing or social posts.★ 19.3k GitHub starsSkillSocial Platform Scraperdanielmiessler/LifeOS · by danielmiesslerScrapes social platforms, business data, and e-commerce via Apify actors — Instagram, LinkedIn, TikTok, YouTube, Facebook, Google Maps, Amazon, and web crawls — filtering in code. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Facebook, Google Maps leads, Amazon reviews, business intelligence, multi-platform social listening, competitive analysis, lead generation, social monitoring, Apify actors, web crawl, extract contacts. NOT FOR X/Twitter account operations like posting, threads, or bookmarks (those need a dedicated X API client), 4-tier progressive scraping with proxy escalation (use BrightData), or real-Chrome bot bypass and computer use (use Interceptor).★ 19.3k GitHub starsSkillVisual Content Generatordanielmiessler/LifeOS · by danielmiesslerStatic visual content across 20+ formats — diagrams, mermaid, infographics, D3 dashboards, comics, icons, wallpaper — via Nano Banana Pro (default), Nano Banana, and Flux. USE WHEN art, illustration, diagram, flowchart, infographic, header image, blog social thumbnail, visualize, generate image, mermaid, architecture diagram, comic, icon, blog art, framework diagram, D3 chart, remove background, wallpaper. NOT FOR locked house-style YouTube/channel/video thumbnails, video or animation (use Remotion), or web UI design and integrated frontend layout (use Webdesign).★ 19.3k GitHub starsSkillArXiv Paper Finderdanielmiessler/LifeOS · by danielmiesslerSearch and retrieve arXiv academic papers by topic, category, or paper ID — with AlphaXiv-enriched AI-generated overviews. Uses arXiv Atom API across cs.AI/cs.LG/cs.CL/cs.CR/cs.MA/cs.SE/cs.IR. Three workflows: Latest, Search, Paper. USE WHEN arxiv, papers, latest papers, research papers, recent ML papers, paper lookup, summarize paper, latest LLM papers, AI safety papers, cs.AI latest. NOT FOR general research (Research), URL parsing, or annual reports.★ 19.3k GitHub starsSkillFiller Removal Audio Editordanielmiessler/LifeOS · by danielmiesslerAI audio editing pipeline: Whisper word-level transcription → Claude segment classification (KEEP/CUT_FILLER/CUT_FALSE_START/CUT_STUTTER/CUT_DEAD_AIR) → ffmpeg with 40ms qsin crossfades and room-tone fill → optional Cleanvoice cloud polish; plus GateScan/GateRepair for noise-gate ticking artifacts. Modes: --preview, --aggressive, --polish. Workflow: Clean. USE WHEN clean audio, edit audio, remove filler words, clean podcast, remove ums, cut dead air, polish audio, trim recording, cut stutters, ticking audio, clicking audio, audio clicks, gate artifacts, popping audio. NOT FOR video composition (use Remotion).★ 19.3k GitHub stars