AgentSkillsCN

suggest-optimizations

挖掘性能优化的潜在机会，助力提升代码的运行效率与资源利用率。

SKILL.md
--- frontmatter
name: suggest-optimizations
description: "Identify performance optimization opportunities. Use when improving code efficiency."
mcp_fallback: none
category: analysis
tier: 2

Suggest Optimizations

Analyze code and profile data to recommend optimization strategies for improving performance and resource usage.

When to Use

  • •Performance-critical code paths identified in profiling
  • •Reducing execution time for hot functions
  • •Lowering memory usage
  • •Planning SIMD or vectorization strategies

Quick Reference

bash
# Identify optimization opportunities
# 1. Profile to find bottlenecks
# 2. Analyze algorithmic complexity
# 3. Check for unnecessary operations
# 4. Evaluate data structure choices
# 5. Consider SIMD/vectorization

# Profile Python code
python3 -m cProfile -s cumulative script.py | head -20

Workflow

  1. •Profile critical paths: Identify functions consuming most time/memory
  2. •Analyze algorithms: Check time/space complexity, look for inefficiencies
  3. •Examine data structures: Verify optimal data structure choices
  4. •Consider caching: Identify repeated computations
  5. •Propose optimizations: List specific changes with expected impact

Output Format

Optimization recommendation:

  • •Bottleneck identified (function, line number)
  • •Current performance (time/memory)
  • •Root cause analysis
  • •Recommended optimization technique
  • •Expected improvement (percentage or time estimate)
  • •Implementation difficulty (low/medium/high)

References

  • •See benchmark-functions skill for measuring improvements
  • •See profile-code skill for detailed profiling
  • •See CLAUDE.md > Mojo for SIMD optimization patterns