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Argent React Native Optimization

  • 9.8k installs
  • 1.9k repo stars
  • Updated August 4, 2026
  • software-mansion/argent

argent-react-native-optimization is an agent skill for Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app

About

Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement. --- name: argent-react-native-optimization description: Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup. Delegates to argent-react-native-profiler for measurement. --- ## Rules - Do not apply shotgun optimizations. Measure first, define what "good enough" looks like (target metric + threshold), fix the top offender, re-measure honestly. - **Quick scan** - `react-profiler-renders` for a live render count table. Identifies hot components instantly. - **Deep measure** - load `argent-react-native-profiler` skill. `react-profiler-start` → interact → `react-profiler-stop` → `react-profiler-analyze`. - **Inspect** - `react-profiler-component-source` per finding.

  • Do not apply shotgun optimizations. Measure first, define what "good enough" looks like (target metric + threshold), fix
  • **Quick scan** - `react-profiler-renders` for a live render count table. Identifies hot components instantly.
  • **Deep measure** - load `argent-react-native-profiler` skill. `react-profiler-start` → interact → `react-profiler-stop
  • **Inspect** - `react-profiler-component-source` per finding. `react-profiler-fiber-tree` to trace component ancestry a
  • **Verify correctness** - before fixing, recollect information from steps above and make a logical conclusion whether the

Argent React Native Optimization by the numbers

  • 9,836 all-time installs (skills.sh)
  • +1,084 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #99 of 2,153 Testing & QA skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

argent-react-native-optimization capabilities & compatibility

Capabilities
do not apply shotgun optimizations. measure firs · **quick scan** — `react profiler renders` for a · **deep measure** — load `argent react native pro · **inspect** — `react profiler component source` · **verify correctness** before fixing, recollec
Use cases
documentation
From the docs

What argent-react-native-optimization says it does

--- name: argent-react-native-optimization description: Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues.
SKILL.md
Use when the app feels slow, user asks to optimize, fix re-renders, reduce jank, or improve startup.
SKILL.md
Delegates to argent-react-native-profiler for measurement.
SKILL.md
npx skills add https://github.com/software-mansion/argent --skill argent-react-native-optimization

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Listed on Skillselion
Installs9.8k
repo stars1.9k
Security audit3 / 3 scanners passed
Last updatedAugust 4, 2026
Repositorysoftware-mansion/argent

When should developers use argent-react-native-optimization and what problem does it solve?

Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize,

Who is it for?

Developers working with argent-react-native-optimization patterns described in the skill documentation.

Skip if: Skip when cached docs are empty or the task is outside the skill's documented scope.

When should I use this skill?

Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize,

What you get

Grounded guidance and workflows from SKILL.md for argent-react-native-optimization.

  • fix recommendation per finding
  • React.memo patch guidance
  • prioritized optimization checklist

Files

SKILL.mdMarkdownGitHub ↗

Rules

  • Do not apply shotgun optimizations. Measure first, define what "good enough" looks like (target metric + threshold), fix the top offender, re-measure honestly.
  • Quick scanreact-profiler-renders for a live render count table. Identifies hot components instantly.
  • Deep measure — load argent-react-native-profiler skill. react-profiler-start → interact → react-profiler-stopreact-profiler-analyze.
  • Inspectreact-profiler-component-source per finding. react-profiler-fiber-tree to trace component ancestry and render cost.
  • Verify correctness - before fixing, recollect information from steps above and make a logical conclusion whether the approach is worth undertaking.
  • Fix — apply one fix. Validate with debugger-evaluate before committing.
  • Re-measure — report whether the target metric improved, regressed, or stayed flat. Check for regressions in other areas. If no net benefit or unacceptable tradeoffs, revert.
  • Profile for discovery, not only verification. Use the profiler to find issues static analysis missed, not only to confirm fixes.
  • One fix per cycle for architectural changes. Mechanical batch fixes (inline styles, index keys) can be grouped — re-profile once after the batch. When the measurement involves device interaction, record it as a flow (argent-create-flow skill) before the first run so all subsequent cycles replay identical steps.
  • React Compiler: if react-profiler-analyze reports reactCompilerEnabled: true, do NOT propose useCallback/useMemo/React.memo unless you confirmed compiler bail-out via react-profiler-fiber-tree (absent useMemoCache).
  • Sub-agents: Phases 1–2 dispatch sub-agents — one per file for lint results, one per checklist item for semantic. Sub-agents CANNOT touch the device - all profiling and E2E verification must happen in the main agent.

Pipeline

Lint and semantic sweeps catch deterministic issues cheaply. Profiling finds runtime bottlenecks that static analysis misses. Do both.

Copy this checklist into your TODO list:

Optimization Progress:
- [ ] Phase 1: Lint sweep (deterministic — catch mechanical issues without a running app)
- [ ] Phase 2: Semantic sweep (judgment — memoization, lists, animations, etc.)
- [ ] Phase 3: Baseline profile (find real bottlenecks, fix top offenders)
- [ ] Phase 4: Verify no regressions (crashes, errors, red screens)

Phase 1: Lint sweep

Run ESLint once at the project root with a comprehensive RN performance ruleset. Dispatch sub-agents to fix results — one per file. See references/lint-rules.md for ruleset and procedure.

Phase 2: Semantic sweep

Review each area requiring judgment — memoization, list rendering, animations, async patterns, effect cleanup, state hygiene, context architecture. Dispatch one sub-agent per checklist item. See references/semantic-checklist.md for full checklist.

Phase 3: Visual profiling

1. Load argent-react-native-profiler skill, start dual profiling 2. Exercise key user flows (navigate screens the user specified, or all major flows) 3. Analyze with react-profiler-analyze + native-profiler-analyze + profiler-combined-report 4. Cross-reference profiling results with Phase 1–2 findings 5. Fix highest-impact issues. Re-profile after architectural changes; batch mechanical fixes. If a recorded flow breaks after a fix (e.g., UI layout changed), follow argent-create-flow skill to repair the flow rather than silently discarding it.

Phase 4: Verify no regressions

Navigate every screen and UI flow within scope, confirm each renders without errors. If no scope was specified, verify the entire app — cover all reachable screens via argent-device-interact. Use debugger-log-registry to check for runtime errors and take screenshots to check for red/yellow error screens. Check for regressions introduced by fixes (e.g., fewer re-renders but higher CPU, or new jank in a different screen). Main agent only.

App-wide optimization

1. Phase 1: run lint centrally (one command), dispatch sub-agents to fix per-file in parallel 2. Phase 2: one sub-agent per checklist item for semantic sweep 3. Phase 3: main agent profiles top offending screens; fixes architectural issues top-down 4. Phase 4: main agent navigates all screens to verify nothing crashes

After the entire run, run lint again to verify no new issues were introduced with your changes. This also helps ensure you haven't missed any issues which could've been fixed.

Related skills

FAQ

What does argent-react-native-optimization do?

Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, red

When should I invoke argent-react-native-optimization?

Optimizes a React Native app by profiling first to find real bottlenecks, then sweeping for mechanical issues. Entry-point for all performance work. Use when the app feels slow, user asks to optimize, fix re-renders, red

Where is the source documentation?

Ground claims in SKILL.md excerpts and linked reference files from the cached docs.

Is Argent React Native Optimization safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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