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Awesome-omni-skill performance-optimization

Agent and model performance (Haiku/Sonnet/Opus selection, context window, build troubleshooting). For code performance use vercel-react-best-practices and granular performance skills.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/performance-optimization-ihj04982" ~/.claude/skills/diegosouzapw-awesome-omni-skill-performance-optimization-afb17f && rm -rf "$T"
manifest: skills/development/performance-optimization-ihj04982/SKILL.md
source content

Performance Optimization (Agent & Model)

This skill covers AI agent and model performance (which model to use, context management, build fixes). For application/code performance (React, Next.js, bundles, rendering) use vercel-react-best-practices and the granular performance skills (e.g. cache-property-access-in-loops, dynamic-imports-for-heavy-components).

Model Selection Strategy

Haiku 4.5 (90% of Sonnet capability, 3x cost savings):

  • Lightweight agents with frequent invocation
  • Pair programming and code generation
  • Worker agents in multi-agent systems

Sonnet 4.5 (Best coding model):

  • Main development work
  • Orchestrating multi-agent workflows
  • Complex coding tasks

Opus 4.5 (Deepest reasoning):

  • Complex architectural decisions
  • Maximum reasoning requirements
  • Research and analysis tasks

Context Window Management

Avoid last 20% of context window for:

  • Large-scale refactoring
  • Feature implementation spanning multiple files
  • Debugging complex interactions

Lower context sensitivity tasks:

  • Single-file edits
  • Independent utility creation
  • Documentation updates
  • Simple bug fixes

Ultrathink + Plan Mode

For complex tasks requiring deep reasoning:

  1. Use 
    ultrathink
    for enhanced thinking
  2. Enable Plan Mode for structured approach
  3. "Rev the engine" with multiple critique rounds
  4. Use split role sub-agents for diverse analysis

Build Troubleshooting

If build fails:

  1. Use build-error-resolver agent
  2. Analyze error messages
  3. Fix incrementally
  4. Verify after each fix