ios-ettrace-performance

por openai

Capture e interprete perfis ETTrace para aplicativos do simulador iOS, incluindo gráficos de chama simbolizados de inicialização e tempo de execução. Use quando solicitado a criar perfil de um aplicativo iOS…

npx skills add https://github.com/openai/plugins --skill ios-ettrace-performance

iOS ETTrace Performance

Use this skill to capture a focused, symbolicated ETTrace profile from an iOS simulator app. Pair it with ../ios-debugger-agent/SKILL.md when the task also needs simulator build, install, launch, UI driving, logs, or screenshots.

Core Workflow

  1. Pick one focused flow and write down the expected start and stop points.
  2. Build the exact simulator app that will be installed and profiled.
  3. Temporarily link ETTrace into that app target for simulator/debug profiling.
  4. Collect UUID-matched dSYMs for the app executable and embedded dynamic frameworks.
  5. Capture one launch or runtime trace.
  6. Preserve the processed flamegraph JSON immediately after the run.
  7. Analyze only the processed JSON and report the flow, artifacts, hotspots, and caveats.

Avoid broad "use the app for a while" captures. One trace should correspond to one user-visible flow.

Setup

Use a writable run folder for each profiling session:

if [ -z "${RUN_DIR:-}" ]; then
  RUN_DIR="$(mktemp -d "${TMPDIR:-/tmp}/codex-ios-ettrace.XXXXXX")"
fi
mkdir -p "$RUN_DIR"

Install the ETTrace runner CLI if it is not already available:

brew install emergetools/homebrew-tap/ettrace

ettrace is the host-side macOS runner. The app must also link an ETTrace.xcframework for the iOS Simulator architecture. This workflow is validated for ETTrace v1.1.0 processed output_<thread>.json files with top-level nodes.

Link ETTrace Into The App

Wire ETTrace into the exact app target being profiled. Keep the integration in a clearly temporary patch and remove it when the profiling task is done unless the user explicitly asks to keep it.

Preferred options:

  • Reuse an existing simulator-compatible ETTrace.xcframework if the repo already vendors one.
  • If none exists, build a simulator-only copy into RUN_DIR from the upstream ETTrace package.
  • Link the framework directly into the app target, not only into tests, resources, data files, or a nested launcher target.
  • Confirm launch logs print Starting ETTrace.
  • Profile only one ETTrace-instrumented simulator app at a time because simulator mode listens on a fixed localhost port.

Build a simulator framework when needed:

ETTRACE_TAG="${ETTRACE_TAG:-v1.1.0}" # Override to match the installed runner when Homebrew updates.
ETTRACE_SRC="$RUN_DIR/ETTrace-src"
if [ ! -d "$ETTRACE_SRC" ]; then
  git clone --depth 1 --branch "$ETTRACE_TAG" https://github.com/EmergeTools/ETTrace "$ETTRACE_SRC"
fi

rm -rf "$RUN_DIR/ETTrace-iphonesimulator.xcarchive" "$RUN_DIR/ETTrace.xcframework"
pushd "$ETTRACE_SRC" >/dev/null
xcodebuild archive \
  -scheme ETTrace \
  -archivePath "$RUN_DIR/ETTrace-iphonesimulator.xcarchive" \
  -sdk iphonesimulator \
  -destination 'generic/platform=iOS Simulator' \
  BUILD_LIBRARY_FOR_DISTRIBUTION=YES \
  INSTALL_PATH='Library/Frameworks' \
  SKIP_INSTALL=NO \
  CLANG_CXX_LANGUAGE_STANDARD=c++17

xcodebuild -create-xcframework \
  -framework "$RUN_DIR/ETTrace-iphonesimulator.xcarchive/Products/Library/Frameworks/ETTrace.framework" \
  -output "$RUN_DIR/ETTrace.xcframework"
popd >/dev/null

For Bazel apps, a temporary import usually looks like:

load("@rules_apple//apple:apple.bzl", "apple_dynamic_xcframework_import")

package(default_visibility = ["//visibility:public"])

apple_dynamic_xcframework_import(
    name = "ETTrace",
    xcframework_imports = glob(["ETTrace.xcframework/**"]),
)

For Xcode projects, temporarily add the simulator ETTrace.xcframework to the app target's Link Binary With Libraries / Embed Frameworks phases for the debug simulator build you are profiling, then remove that wiring after profiling.

Symbolication Gate

Do not draw conclusions from an unsymbolicated flamegraph. Before every capture, prepare a dSYM folder that includes the app dSYM and any embedded first-party dynamic framework dSYMs.

Collect dSYMs after the final build that produced the installed app:

SKILL_DIR="<absolute path to this loaded skill folder>"
APP="<path-to-built-simulator-App.app>"
DSYMS="$RUN_DIR/dsyms"

"$SKILL_DIR/scripts/collect_ios_dsyms.sh" \
  --app "$APP" \
  --out-dir "$DSYMS" \
  --search-root "$(dirname "$APP")" \
  --search-root "$PWD" \
  --extra-dsym "$RUN_DIR/ETTrace-iphonesimulator.xcarchive/dSYMs/ETTrace.framework.dSYM"

Add --require-framework <FrameworkName> for app-owned dynamic frameworks that must symbolicate; use --require-all-frameworks only when every embedded framework is app-owned or expected to have symbols. If the helper reports a missing required app or framework dSYM, rebuild the exact simulator app with dSYM generation before tracing, or add the build output directory that contains those dSYMs as another --search-root.

Verify important UUIDs before tracing when the report looks suspicious:

dwarfdump --uuid "$APP/$(/usr/libexec/PlistBuddy -c 'Print :CFBundleExecutable' "$APP/Info.plist")"
find "$DSYMS" -maxdepth 1 -type d -name '*.dSYM' -print -exec dwarfdump --uuid {} \;

After ETTrace exits, read its symbolication summary. Treat meaningful first-party "have library but no symbol" lines as a failed trace unless they are tiny noise. Unsymbolicated system-framework or ETTrace internal buckets are usually acceptable.

Capture

For launch traces:

cd "$RUN_DIR"
CAPTURE_MARKER="$RUN_DIR/.ettrace-capture-start"
: > "$CAPTURE_MARKER"
find "$RUN_DIR" -maxdepth 1 \( -name 'output.json' -o -name 'output_*.json' \) -delete
ettrace --simulator --launch --verbose --dsyms "$DSYMS"

Use --launch only when measuring startup or first render. The first launch connection can force quit the app; relaunch from the simulator home screen rather than Xcode if prompted. For first-launch-after-install traces, temporarily set ETTraceRunAtStartup=YES in the app Info.plist, then run ettrace --simulator and launch from the home screen.

For runtime flow traces:

cd "$RUN_DIR"
CAPTURE_MARKER="$RUN_DIR/.ettrace-capture-start"
: > "$CAPTURE_MARKER"
find "$RUN_DIR" -maxdepth 1 \( -name 'output.json' -o -name 'output_*.json' \) -delete
ettrace --simulator --verbose --dsyms "$DSYMS"

Start from a stable screen, start ETTrace, perform exactly one focused flow, wait until visible work is complete, then stop the runner. For wider attribution, add --multi-thread; otherwise start with the main thread.

In Codex, run ettrace with a TTY and answer prompts with write_stdin. Without a TTY, the runner can exit without a useful trace.

Preserve Outputs

The next ETTrace run can overwrite processed flamegraph files, so preserve fresh output_<thread-id>.json files immediately. Do not analyze a saved output.json; ETTrace also serves a viewer route with that name, and raw emerge-output/output.json files are not the processed flamegraph artifacts this workflow expects.

PRESERVED_DIR="$(mktemp -d "$RUN_DIR/run-$(date +%Y%m%d-%H%M%S).XXXXXX")"
: > "$PRESERVED_DIR/summary.txt"
if [ ! -e "$CAPTURE_MARKER" ]; then
  echo "error: capture marker missing; start a fresh ETTrace capture before preserving outputs" >&2
  exit 1
fi
find "$RUN_DIR" -maxdepth 1 -name 'output_*.json' -newer "$CAPTURE_MARKER" -print | while IFS= read -r json; do
  preserved="$PRESERVED_DIR/${json##*/}"
  cp "$json" "$preserved"
  {
    echo "## ${preserved##*/}"
    python3 "$SKILL_DIR/scripts/analyze_flamegraph_json.py" "$preserved"
  } >> "$PRESERVED_DIR/summary.txt"
done
if [ ! -s "$PRESERVED_DIR/summary.txt" ]; then
  echo "error: no fresh processed ETTrace output JSON found in $RUN_DIR" >&2
  exit 1
fi

Analyze only processed output_*.json files in RUN_DIR. Ignore output.json and raw emerge-output/output.json files unless debugging ETTrace itself. If the analyzer rejects the JSON shape, capture again with the Homebrew ETTrace runner and matching app-side ETTrace.xcframework tag instead of trying to interpret the rejected file.

Read The Profile

Start from run-*/summary.txt, then inspect processed JSON directly if needed.

Report:

  • exact flow, app build, simulator model/runtime, and run count
  • processed flamegraph JSON paths
  • top active leaves and inclusive first-party stacks with sample weights or percentages
  • whether symbols were complete for app-owned binaries
  • caveats such as first-run setup, simulator-only cost, network variance, or low sample count
  • before/after deltas only when the same flow was captured with comparable setup

Cleanup

Remove temporary ETTrace app wiring when profiling is complete unless the user asked to keep it. Keep or discard run artifacts based on the active task.

Mais skills de openai

user-context
openai
Carregar ou gerenciar as preferências de roteamento de origem duráveis, a lógica de integração, o progresso de configuração e o registro da camada semântica do plugin Data Analytics.
official
notion-research-documentation
openai
Pesquise conteúdo do Notion e sintetize em briefs estruturados, relatórios ou comparações com citações. Pesquise e busque páginas do Notion usando consultas direcionadas, depois organize os achados por tema com citações inline das fontes e uma seção de referências. Escolha entre quatro formatos de saída (brief rápido, resumo de pesquisa, comparação, relatório abrangente) com base no escopo e no objetivo do usuário. Crie e atualize páginas do Notion usando modelos integrados; vincule fontes diretamente e acompanhe alterações à medida que novas informações chegam...
official
rcsb-pdb-skill
openai
Enviar solicitações compactas do RCSB PDB para metadados principais, consultas da API de busca e downloads FASTA. Use quando um usuário desejar resumos concisos do RCSB; salve JSON bruto ou…
official
pdf
openai
We need to translate the given text from English to Brazilian Portuguese. The text describes a skill related to PDF handling. The name "pdf" is to be preserved, but it appears in the text as "PDF" (uppercase). The instruction says "Do not include the name unless it appears in the source text." Since "PDF" appears multiple times, we should keep it as is. Also preserve technical terms like "Poppler", "pdftoppm", "reportlab", "pdfplumber", "pypdf", "ASCII". The translation should be natural in Brazilian Portuguese. Let's break down the text: "PDF reading, creation, and validation with visual rendering and programmatic generation. Render PDF pages to PNG for visual inspection of layout, spacing, and typography before delivery using Poppler ( pdftoppm ) Generate PDFs programmatically with reportlab for reliable formatting; extract text and metadata with pdfplumber or pypdf Enforce quality standards: no clipped text, overlapping elements, broken tables, or rendering artifacts; ASCII hyphens only, human
official
test-coverage-improver
openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose…
official
playwright
openai
Automação de navegador via terminal com snapshots de elementos e fluxos de UI interativos. Opera através do script wrapper playwright-cli (requer npx); suporta modos headless e headed para depuração visual. Fluxo principal: abrir página, capturar snapshot para referências estáveis de elementos, interagir usando referências, recapturar snapshot após navegação ou mudanças no DOM. Inclui preenchimento de formulários, cliques, digitação, gerenciamento de múltiplas abas, captura de screenshot/PDF e gravação de trace para depuração de fluxos. Referências de elementos (ex.: e3, e15)...
official
ukb-topmed-phewas-skill
openai
Busque resumos compactos de PheWAS UKB-TOPMed para variantes únicas, aceitando entrada rsID, GRCh37 ou GRCh38 e resolvendo para a consulta GRCh38 necessária. Use quando um…
official
code-review-context
openai
Contexto visível do modelo
official