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Several published examples contained APIs that no longer exist, code that does not run, or model versions that drifted from reality: - agents/performance-optimizer.md used the web-vitals v3 API (getCLS/getFID/getLCP/getFCP/getTTFB) and reported FID. web-vitals v4 renamed the imports to onCLS/onINP/onLCP/onFCP/onTTFB and FID was replaced by INP (target < 200ms) - rules/common/performance.md pinned stale model versions in the model-selection guidance; refresh to the versions the repo itself uses (agent.yaml pins claude-opus-4-6) and add the PowerShell variant for MAX_THINKING_TOKENS next to the bash export - skills/python-patterns/SKILL.md: both get_value examples referenced default_value without declaring the parameter (NameError); add default_value: Any = None to the EAFP and LBYL signatures - skills/frontend-patterns/SKILL.md: the custom useQuery example rebuilt refetch whenever callers passed inline fetchers/options, re-triggering the effect after every state update (infinite fetch loop). Keep the latest fetcher/options in refs so refetch stays referentially stable. The PASS-labelled useMemo example mutated its input with in-place sort; copy before sorting - skills/coding-standards/SKILL.md repeated the same PASS-labelled in-place-sort-in-useMemo example; same fix - rules/typescript/security.md used a vendor-specific OPENAI_API_KEY in generic guidance; switch to a neutral API_KEY Every hand-maintained copy of the affected content is synced in the same change: locale mirrors (ja-JP, ko-KR, pt-BR, tr, zh-CN, zh-TW - each only where it carries the affected file) and the .agents/.kiro/.cursor harness mirrors. Two structural divergences are left alone and noted here: .kiro/steering/performance.md has no extended-thinking control list to carry the PowerShell variant, and docs/zh-TW/rules/performance.md keeps an older condensed thinking section without the budget-cap line. rules/zh/performance.md is intentionally untouched - the rules/zh tree is being retired in a separate change
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description, alwaysApply
| description | alwaysApply |
|---|---|
| Performance: model selection, context management, build troubleshooting | true |
Performance Optimization
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 4.6 (Best coding model):
- Main development work
- Orchestrating multi-agent workflows
- Complex coding tasks
Opus 4.6 (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
Extended Thinking + Plan Mode
Extended thinking is enabled by default, reserving up to 31,999 tokens for internal reasoning.
Control extended thinking via:
- Toggle: Option+T (macOS) / Alt+T (Windows/Linux)
- Config: Set
alwaysThinkingEnabledin~/.claude/settings.json - Budget cap:
export MAX_THINKING_TOKENS=10000(bash) or$env:MAX_THINKING_TOKENS = "10000"(PowerShell) - Verbose mode: Ctrl+O to see thinking output
For complex tasks requiring deep reasoning:
- Ensure extended thinking is enabled (on by default)
- Enable Plan Mode for structured approach
- Use multiple critique rounds for thorough analysis
- Use split role sub-agents for diverse perspectives
Build Troubleshooting
If build fails:
- Use build-error-resolver agent
- Analyze error messages
- Fix incrementally
- Verify after each fix