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fix: refresh stale technical content in agents, rules, and skills (#2168)
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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@@ -353,14 +353,14 @@ npx lighthouse https://your-app.com --only-categories=performance
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### Web Vitals 监控
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```typescript
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// Track Core Web Vitals
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import { getCLS, getFID, getLCP, getFCP, getTTFB } from 'web-vitals';
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// Track Core Web Vitals (web-vitals v4 API)
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import { onCLS, onINP, onLCP, onFCP, onTTFB } from 'web-vitals';
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getCLS(console.log); // Cumulative Layout Shift
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getFID(console.log); // First Input Delay
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getLCP(console.log); // Largest Contentful Paint
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getFCP(console.log); // First Contentful Paint
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getTTFB(console.log); // Time to First Byte
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onCLS(console.log); // Cumulative Layout Shift
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onINP(console.log); // Interaction to Next Paint
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onLCP(console.log); // Largest Contentful Paint
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onFCP(console.log); // First Contentful Paint
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onTTFB(console.log); // Time to First Byte
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```
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## 性能报告模板
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@@ -384,7 +384,7 @@ getTTFB(console.log); // Time to First Byte
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| 指标 | 当前值 | 目标值 | 状态 |
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|--------|---------|--------|--------|
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| LCP | X.X秒 | < 2.5秒 | 通过: |
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| FID | XX毫秒 | < 100毫秒 | 通过: |
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| INP | XX毫秒 | < 200毫秒 | 通过: |
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| CLS | X.XX | < 0.1 | 警告: |
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## 关键问题
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@@ -14,7 +14,7 @@
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* 编排多智能体工作流
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* 复杂的编码任务
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**Opus 4.5** (最深的推理能力):
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**Opus 4.6** (最深的推理能力):
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* 复杂的架构决策
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* 最高级别的推理需求
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@@ -43,7 +43,7 @@
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* **切换**:Option+T (macOS) / Alt+T (Windows/Linux)
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* **配置**:在 `~/.claude/settings.json` 中设置 `alwaysThinkingEnabled`
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* **预算上限**:`export MAX_THINKING_TOKENS=10000`
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* **预算上限**:`export MAX_THINKING_TOKENS=10000`(bash)或 `$env:MAX_THINKING_TOKENS = "10000"`(PowerShell)
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* **详细模式**:Ctrl+O 查看思考输出
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对于需要深度推理的复杂任务:
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@@ -17,10 +17,10 @@ paths:
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const apiKey = "sk-proj-xxxxx"
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// ALWAYS: Environment variables
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const apiKey = process.env.OPENAI_API_KEY
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const apiKey = process.env.API_KEY
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if (!apiKey) {
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throw new Error('OPENAI_API_KEY not configured')
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throw new Error('API_KEY not configured')
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}
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```
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@@ -400,8 +400,9 @@ export async function searchMarkets(
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import { useMemo, useCallback } from 'react'
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// PASS: GOOD: Memoize expensive computations
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// Copy before sorting - Array.prototype.sort mutates in place
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const sortedMarkets = useMemo(() => {
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return markets.sort((a, b) => b.volume - a.volume)
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return [...markets].sort((a, b) => b.volume - a.volume)
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}, [markets])
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// PASS: GOOD: Memoize callbacks
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@@ -169,28 +169,41 @@ export function useQuery<T>(
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const [error, setError] = useState<Error | null>(null)
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const [loading, setLoading] = useState(false)
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// Keep the latest fetcher/options in refs so refetch stays referentially
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// stable even when callers pass inline functions and object literals.
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// Without this, every render creates a new refetch, and the effect below
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// re-runs after each state update - an infinite fetch loop.
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const fetcherRef = useRef(fetcher)
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const optionsRef = useRef(options)
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useEffect(() => {
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fetcherRef.current = fetcher
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optionsRef.current = options
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})
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const refetch = useCallback(async () => {
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setLoading(true)
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setError(null)
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try {
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const result = await fetcher()
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const result = await fetcherRef.current()
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setData(result)
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options?.onSuccess?.(result)
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optionsRef.current?.onSuccess?.(result)
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} catch (err) {
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const error = err as Error
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setError(error)
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options?.onError?.(error)
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optionsRef.current?.onError?.(error)
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} finally {
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setLoading(false)
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}
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}, [fetcher, options])
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}, [])
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const enabled = options?.enabled !== false
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useEffect(() => {
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if (options?.enabled !== false) {
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if (enabled) {
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refetch()
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}
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}, [key, refetch, options?.enabled])
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}, [key, enabled, refetch])
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return { data, error, loading, refetch }
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}
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@@ -295,8 +308,9 @@ export function useMarkets() {
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```typescript
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// PASS: useMemo for expensive computations
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// Copy before sorting - Array.prototype.sort mutates in place
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const sortedMarkets = useMemo(() => {
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return markets.sort((a, b) => b.volume - a.volume)
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return [...markets].sort((a, b) => b.volume - a.volume)
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}, [markets])
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// PASS: useCallback for functions passed to children
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@@ -57,14 +57,14 @@ Python 倾向于使用异常处理而非检查条件。
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```python
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# Good: EAFP style
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def get_value(dictionary: dict, key: str) -> Any:
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def get_value(dictionary: dict, key: str, default_value: Any = None) -> Any:
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try:
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return dictionary[key]
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except KeyError:
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return default_value
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# Bad: LBYL (Look Before You Leap) style
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def get_value(dictionary: dict, key: str) -> Any:
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def get_value(dictionary: dict, key: str, default_value: Any = None) -> Any:
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if key in dictionary:
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return dictionary[key]
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else:
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