Agent skill

Profile Memory

Profile memory usage in sidecar using Go pprof, system tools, and heap analysis.

MITAuto-check passedDevelopment

Install Profile Memory

skills CLI

$ npx skills add marcus/sidecar --skill profile-memory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install marcus/sidecar profile-memory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/marcus/sidecar.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/profile-memory .claude/skills/profile-memory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "profile-memory" agent skill from https://github.com/marcus/sidecar/tree/main/.claude/skills/profile-memory into .claude/skills/profile-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profile-memory", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/marcus/sidecar/tree/main/.claude/skills/profile-memory

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add marcus/sidecar --skill profile-memory -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install marcus/sidecar profile-memory --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/marcus/sidecar.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/profile-memory .agents/skills/profile-memory && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "profile-memory" agent skill from https://github.com/marcus/sidecar/tree/main/.claude/skills/profile-memory into .agents/skills/profile-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profile-memory", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add marcus/sidecar --skill profile-memory -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install marcus/sidecar profile-memory --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/marcus/sidecar.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/profile-memory .cursor/skills/profile-memory && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "profile-memory" agent skill from https://github.com/marcus/sidecar/tree/main/.claude/skills/profile-memory into .cursor/skills/profile-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profile-memory", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/marcus/sidecar.git --path .claude/skills/profile-memory

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add marcus/sidecar --skill profile-memory -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install marcus/sidecar profile-memory --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/marcus/sidecar.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/profile-memory .gemini/skills/profile-memory && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "profile-memory" agent skill from https://github.com/marcus/sidecar/tree/main/.claude/skills/profile-memory into .gemini/skills/profile-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profile-memory", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install marcus/sidecar profile-memory

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add marcus/sidecar --skill profile-memory -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/marcus/sidecar.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/profile-memory .github/skills/profile-memory && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "profile-memory" agent skill from https://github.com/marcus/sidecar/tree/main/.claude/skills/profile-memory into .github/skills/profile-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profile-memory", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add marcus/sidecar --skill profile-memory -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install marcus/sidecar profile-memory --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/marcus/sidecar.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/profile-memory .opencode/skills/profile-memory && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "profile-memory" agent skill from https://github.com/marcus/sidecar/tree/main/.claude/skills/profile-memory into .opencode/skills/profile-memory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profile-memory", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: profile-memory
GitHub stars: 1.1k
Token cost: ~1.9k tokens
SKILL.md length: 540 words
Files: 1
Skills in repo: 19
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Profile memory usage in sidecar using Go pprof, system tools, and heap analysis.

Works in 4 steps: Check goroutines for blocked operations → Check SQLite locks: lsof -p | grep '.db' → Check stuck tea.Cmd goroutines → …
Investigating memory issues
SKILL.md covers Quick Triage, System-Level Profiling (No…, Go pprof (Runtime Profiling) and What to Look For, plus 5 more sections
Calls curl, go and brew

What it does

Profile Memory is an agent skill from marcus/sidecar. Profile memory usage in sidecar using Go pprof, system tools, and heap analysis. Covers identifying memory leaks, goroutine leaks, file descriptor accumulation, and CPU profiling. Use when investigating memory issues, profiling performance, debugging memory leaks, or diagnosing unresponsive plugins.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Async programming and Performance optimization. It works with SQLite. The repository describes itself as: Use sidecar next to CLI agents for diffs, file trees, conversation history, and task management with td. The licence is MIT.

When your agent uses it

Investigating memory issues
Profiling performance
Debugging memory leaks
Diagnosing unresponsive plugins

Example prompts

“/profile-memory”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Check goroutines for blocked operations
Check SQLite locks: lsof -p | grep '.db'
Check stuck tea.Cmd goroutines
Check for swap pressure: vmmap --summary | grep -E 'Physical|Swapped'

What it can do on your machine

Read from SKILL.md and the folder at commit 3792a4e. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- curl
- go
- brew
- apt
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Profile Memory loads about 1.9k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 540 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~79
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from marcus/sidecar at commit 3792a4e, republished under its MIT licence (© marcus). 540 words, ~1,851 tokens.

Download SKILL.mdSave it as .claude/skills/profile-memory/SKILL.md (or your agent's skills folder).

name: profile-memory
description: Profile memory usage in sidecar using Go pprof, system tools, and heap analysis. Covers identifying memory leaks, goroutine leaks, file descriptor accumulation, and CPU profiling. Use when investigating memory issues, profiling performance, debugging memory leaks, or diagnosing unresponsive plugins.
disable-model-invocation: true

Memory Profiling for Sidecar

Quick Triage

Symptom	Tool	Action
High RSS / memory growth	vmmap, pprof heap	Check system memory, then heap profile
Too many open files	lsof	Check FD count and breakdown
High CPU	pprof cpu, ps	Capture CPU profile
Goroutine leak	pprof goroutines	Check goroutine count and stacks
Plugin unresponsive	lsof + goroutines	Check SQLite locks, blocked goroutines

Triage flow: Is RSS high? -> Check FD count -> Check vmmap -> Check heap profile

System-Level Profiling (No pprof Required)

Find the Process

bash

pgrep -f sidecar
ps aux | grep sidecar

Basic Stats

bash

# RSS, VSZ, CPU%, thread count
ps -o pid,rss,vsz,%cpu,nlwp -p <PID>

# Human-readable RSS
ps -o pid,rss -p <PID> | awk 'NR>1{printf "%d MB\n", $2/1024}'

# Watch over time
while true; do ps -o rss,%cpu -p <PID> | tail -1; sleep 5; done

System Memory

macOS (vmmap):

bash

vmmap --summary <PID>

Key sections: VM_ALLOCATE (Go heap), MALLOC (C heap/SQLite), Physical footprint, Swapped.

Red flags:

RESIDENT SIZE >500MB for idle sidecar
REGION COUNT in thousands for VM_ALLOCATE = mmap leak
SWAPPED SIZE growing = memory pressure

Linux:

bash

cat /proc/<PID>/status | grep -E 'VmRSS|VmSize|Threads'
pmap -x <PID> | tail -5
ls /proc/<PID>/fd | wc -l

File Descriptor Analysis

bash

# Count and breakdown
lsof -p <PID> | wc -l
lsof -p <PID> | awk '{print $5}' | sort | uniq -c | sort -rn

# Find leaked files
lsof -p <PID> | grep REG | awk '{print $9}' | sort | uniq -c | sort -rn | head -20

# Check session file leaks
lsof -p <PID> | grep -c '\.claude/projects'
lsof -p <PID> | grep -c '\.codex/sessions'

# Watch FD count
while true; do echo "$(date): $(lsof -p <PID> 2>/dev/null | wc -l) FDs"; sleep 30; done

Healthy baselines: Total FDs 50-150, REG files 10-30, PIPEs 10-30, DIRs 5-15.

Red flags: 1000+ total FDs, same file opened 4+ times, growing count over time.

Thread Count

bash

# macOS
ps -M -p <PID> | wc -l
# Linux
ls /proc/<PID>/task | wc -l
# Expected: 20-60 threads. 100+ = goroutine leak likely

Go pprof (Runtime Profiling)

Enable pprof

bash

SIDECAR_PPROF=1 sidecar        # Default port 6060
SIDECAR_PPROF=6061 sidecar     # Custom port

Heap Profile (Current Allocations)

bash

curl http://localhost:6060/debug/pprof/heap > heap.prof
go tool pprof -top heap.prof
go tool pprof heap.prof   # Interactive: top20, list <func>, web

Allocs Profile (All Allocations Since Start)

bash

curl http://localhost:6060/debug/pprof/allocs > allocs.prof
go tool pprof -top allocs.prof

Goroutine Profile

bash

# Count
curl -s http://localhost:6060/debug/pprof/goroutine?debug=1 | head -1

# Full stacks
curl http://localhost:6060/debug/pprof/goroutine?debug=2 > goroutines.txt

# Find stuck goroutines
grep -A5 'runtime.chanrecv' goroutines.txt

Memory Stats

bash

curl http://localhost:6060/debug/pprof/heap?debug=1 | head -30

Compare Snapshots (Best for Finding Leaks)

bash

curl http://localhost:6060/debug/pprof/heap > heap1.prof
# Wait (1 hour or overnight)
curl http://localhost:6060/debug/pprof/heap > heap2.prof
go tool pprof -base heap1.prof heap2.prof
# Then: top20

Continuous Monitoring

bash

./scripts/mem-monitor.sh         # Default: port 6060, 60s interval
./scripts/mem-monitor.sh 6061 30 # Custom port and interval

Output: CSV time,heap_alloc_bytes,heap_inuse_bytes,goroutines,rss_mb to mem-YYYYMMDD-HHMMSS.log.

CPU Profile

bash

curl http://localhost:6060/debug/pprof/profile?seconds=30 > cpu.prof
go tool pprof -top cpu.prof
go tool pprof cpu.prof   # Interactive: top20, list <func>, web

Web UI

bash

go tool pprof -http=:8080 http://localhost:6060/debug/pprof/heap

Requires Graphviz (brew install graphviz / apt install graphviz) for flame graphs.

What to Look For

Goroutine leaks: Count should stabilize at 20-50 after startup. Steady growth = leak. Search for runtime.chanrecv1, runtime.chansend1, time.Sleep.

Heap growth: HeapAlloc should stabilize after loading sessions. Consistent upward trend = leak.

Common pprof signatures: bufio.Scanner (buffer not returned), json.Unmarshal (large objects retained), append in loops (slice growing), channel operations (blocked senders/receivers).

Diagnosing Unresponsive Plugins

Check goroutines for blocked operations:

bash

curl -s http://localhost:6060/debug/pprof/goroutine?debug=2 | grep -A10 'monitor\|td'

Check SQLite locks: lsof -p <PID> | grep '\.db'

Check stuck tea.Cmd goroutines:

bash

curl -s http://localhost:6060/debug/pprof/goroutine?debug=2 | grep -B2 'fetchData\|FetchData'

Check for swap pressure: vmmap --summary <PID> | grep -E 'Physical|Swapped'

Common causes: SQLite locked by concurrent td CLI, memory pressure causing swap thrashing, goroutine blocked on unread channel, accumulating fetchData() goroutines.

Known Leak Patterns

File Descriptor Accumulation (Adapter/Watcher Layer)

Files: internal/adapter/claudecode/watcher.go etc. Uses fsnotify to watch directories.

Symptoms: RSS grows to 5-15GB overnight, lsof shows 1000+ session files open.

bash

lsof -p <PID> | grep '\.claude/projects' | wc -l
lsof -p <PID> | grep '\.codex/sessions' | wc -l

Show full SKILL.md (220 more words)Show less

OutputBuffer Substring Retention

OutputBuffer.Update() uses strings.Split() creating substrings sharing backing array. NOT a leak if Update() keeps being called. Only retains if polling stops.

Poll Chain Duplication

Entering interactive mode without incrementing generation counter creates parallel poll chains. Doubles CPU but no memory leak. Fix: increment shellPollGeneration or pollGeneration on entry.

Go MADV_FREE (macOS)

Go runtime uses MADV_FREE marking pages reusable without returning to OS. RSS appears high but memory is available. NOT a leak. Use vmmap --summary and compare "Physical footprint (peak)" vs current.

Investigation Workflow

ps -o pid,rss,%cpu -p <PID> -- establish baseline
lsof -p <PID> | wc -l -- if >200, focus on FD leak
lsof -p <PID> | grep REG | awk '{print $9}' | sort | uniq -c | sort -rn | head -20
vmmap --summary <PID> -- RESIDENT vs VIRTUAL, region count
If pprof available: heap snapshot comparison over time
If pprof unavailable: restart with SIDECAR_PPROF=1, reproduce the leak

Overnight Test Procedure

Start: SIDECAR_PPROF=1 sidecar
Baseline: curl .../heap > baseline.prof
Note goroutine count
Leave overnight (caffeinate -i on macOS)
Morning: capture new profiles
Compare: go tool pprof -base baseline.prof morning.prof
Check goroutines for stuck ones

Notes

pprof adds ~1-2MB overhead, no TUI performance impact
HTTP server runs in separate goroutine, localhost only
On macOS, vmmap/lsof need no special permissions for own processes

Files

Just SKILL.md in .claude/skills/profile-memory of marcus/sidecar.

Open the folder on GitHubat commit 3792a4e

Compare with similar skills

Profile Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Profile Memory compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Profile Memory this skillmarcus/sidecar	1.1k	—	~1.9k	Automated safety check: Pass	MIT	2 days ago
Swift Concurrencysupabitapp/supaterm	172	—	~3.3k	Automated safety check: Pass	Custom licence	13 days ago
Swift ConcurrencyAFK-surf/OpenBridge	430	—	~2.8k	Automated safety check: Pass	MIT	3 mo ago
Golang Prodavila7/claude-code-templates	32k	8 repos	~1.9k	Automated safety check: Pass	MIT	today
Python Prodavila7/claude-code-templates	32k	8 repos	~1.8k	Automated safety check: Pass	MIT	today
Python ExpertRightNow-AI/openfang	18k	—	~765	Automated safety check: Pass	Apache-2.0	3 mo ago

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Questions about Profile Memory

What does Profile Memory do?

Profile memory usage in sidecar using Go pprof, system tools, and heap analysis. Profile Memory is an agent skill from marcus/sidecar. Profile memory usage in sidecar using Go pprof, system tools, and heap analysis.

When should I use Profile Memory?

Profile Memory fits situations like: investigating memory issues; profiling performance; debugging memory leaks; diagnosing unresponsive plugins.

How do I install Profile Memory in Claude Code?

Run `npx skills add marcus/sidecar --skill profile-memory -a claude-code`. Or copy the skill folder (.claude/skills/profile-memory in marcus/sidecar) into .claude/skills/profile-memory in your project. Claude Code loads it when a task matches its description.

How do I install Profile Memory in Codex?

Run `npx skills add marcus/sidecar --skill profile-memory -a codex`. Or copy the skill folder (.claude/skills/profile-memory in marcus/sidecar) into .agents/skills/profile-memory in your project. Codex loads it when a task matches its description.

Can I use Profile Memory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marcus/sidecar --skill profile-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/profile-memory, .gemini/skills/profile-memory, .github/skills/profile-memory and .opencode/skills/profile-memory in your project.

What does Profile Memory need to run?

Going by SKILL.md and its folder, Profile Memory needs the command-line tools its instructions call (curl, go, brew and apt).

Does Profile Memory access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Profile Memory safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Profile Memory use?

Profile Memory is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Profile Memory use?

About 1.9k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Profile Memory?

Skills that share tags, products or a category with Profile Memory: Swift Concurrency (supabitapp/supaterm, 172 stars), Swift Concurrency (AFK-surf/OpenBridge, 430 stars), Golang Pro (davila7/claude-code-templates, 32k stars) and Python Pro (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Profile Memory?

marcus (a GitHub user) maintains it in marcus/sidecar, which has 1,085 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 5, 2026.

Source: marcus/sidecar on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Profile Memory

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Memory Profiling for Sidecar

Quick Triage

System-Level Profiling (No pprof Required)

Find the Process

Basic Stats

System Memory

File Descriptor Analysis

Thread Count

Go pprof (Runtime Profiling)

Enable pprof

Heap Profile (Current Allocations)

Allocs Profile (All Allocations Since Start)

Goroutine Profile

Memory Stats

Compare Snapshots (Best for Finding Leaks)

Continuous Monitoring

CPU Profile

Web UI

What to Look For

Diagnosing Unresponsive Plugins

Known Leak Patterns

File Descriptor Accumulation (Adapter/Watcher Layer)

OutputBuffer Substring Retention

Poll Chain Duplication

Go MADV_FREE (macOS)

Investigation Workflow

Overnight Test Procedure

Notes

Files

Compare with similar skills

Similar skills

More from marcus/sidecar

Related

Questions about Profile Memory