skill CX Codex

ios-memgraph-analysis — Claude Code skill: iOS memory leak analysis

Q: How do I install ios-memgraph-analysis in Claude Code?

Run `npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a claude-code`. The skill lands in `~/.claude/skills/ios-memgraph-analysis/SKILL.md`.

Q: What does ios-memgraph-analysis do?

It reads `.memgraph` files and Apple command-line output: it splits unreachable leaks from reachable growth, preserves raw `leaks`, `heap`, `vmmap` and `malloc_history` output, and re-checks the same ownership path after a fix.

Q: How is it different from debugging-instruments?

This skill covers `.memgraph` capture and command-line ownership analysis. The interactive Memory Graph Debugger, Instruments, generic retain-cycle inspection and LLDB work are handled by `debugging-instruments`.

A skill for reading iOS .memgraph files: it separates unreachable leaks from reachable heap growth and keeps the raw tool output.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓

npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a claude-code

Open on GitHub

What ios-memgraph-analysis does

This skill handles memory graphs from iOS apps and shows why an object outlives the point where it should have gone away. Unreachable leaks and reachable growth stay separate here, raw tool output is kept, and after a fix the same app-owned type and ownership path get checked again.

Two Python scripts do the work. scripts/capture_sim_memgraph.py grabs a graph from a running Simulator app: it takes --bundle-id, --output-dir and --pretty, shells out to leaks --outputGraph, and writes a manifest. scripts/summarize_memgraph.py parses the graph, drops raw artifacts into their own directory, and supports --app-image, --trace-limit, --group-by-type and --reference-tree. With several Simulators booted you need --udid; the script matches exactly one launchd label and one PID and errors out on zero or multiple hits. Capturing suspends the process, so latency numbers from a capture mean nothing.

The order matters. Name the object and the event that ends its useful life first, then run one fixed sequence of steps before and after the graph. Keep the build, the data and the Malloc Stack Logging setting identical between runs, or the comparison falls apart. Apple does not treat these text formats as stable schemas, so parser warnings are a reason to open the raw artifacts, not to soften the parser. Interactive Memory Graph Debugger, Instruments and LLDB work belong to the debugging-instruments skill.

What it helps with

prove an object survives past its expected lifetime boundary
tell an unreachable leak apart from reachable heap growth
capture a memory graph from a running Simulator app
locate the first app-owned strong edge in an ownership path
compare baseline and post-flow graphs from the same flow

Example prompts for the agent

Capture a memory graph from the running app by --bundle-id and keep the raw artifacts
Parse the .memgraph and show which app types still hold memory after the editor closes
leaks reports nothing but the heap keeps growing — diff the baseline and post-flow graphs

How to install ios-memgraph-analysis

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a claude-code

2Manually: put the files in place

~/.claude/skills/ios-memgraph-analysis/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/ios-memgraph-analysis/

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a codex

2Manually: put the files in place

.agents/skills/ios-memgraph-analysis/SKILL.md

For all projects use ~/.agents/skills/

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a cursor

2Manually: put the files in place

.cursor/skills/ios-memgraph-analysis/SKILL.md

Cursor also reads .agents/skills/ and .claude/skills/

1GitHub CLI

gh skill install dpearson2699/swift-ios-skills ios-memgraph-analysis

2Manually: put the files in place

.github/skills/ios-memgraph-analysis/SKILL.md

1Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a gemini-cli

2Platform CLI

gemini skills install https://github.com/dpearson2699/swift-ios-skills --path skills/ios-memgraph-analysis

Manually: put the files in place

.devin/skills/ios-memgraph-analysis/SKILL.md

The legacy .windsurf/skills/ path still works

Skills CLI (Vercel)

npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a opencode

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about ios-memgraph-analysis

How do I install ios-memgraph-analysis in Claude Code?

Run npx skills add dpearson2699/swift-ios-skills --skill ios-memgraph-analysis -a claude-code. The skill lands in ~/.claude/skills/ios-memgraph-analysis/SKILL.md.

What does ios-memgraph-analysis do?

It reads .memgraph files and Apple command-line output: it splits unreachable leaks from reachable growth, preserves raw leaks, heap, vmmap and malloc_history output, and re-checks the same ownership path after a fix.

How is it different from debugging-instruments?

This skill covers .memgraph capture and command-line ownership analysis. The interactive Memory Graph Debugger, Instruments, generic retain-cycle inspection and LLDB work are handled by debugging-instruments.

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