cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
Expert patterns for Algolia search implementation, indexing
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill algolia-search --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/algolia-searchContext preview
The summary Claude sees to decide when to auto-load this skill.
Expert patterns for Algolia search implementation, indexing
name: algolia-search description: Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning risk: unknown source: vibeship-spawner-skills (Apache 2.0) date_added: 2026-02-27
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning
Modern React InstantSearch setup using hooks for type-ahead search.
Uses react-instantsearch-hooks-web package with algoliasearch client. Widgets are components that can be customized with classnames.
Key hooks:
// lib/algolia.ts import algoliasearch from 'algoliasearch/lite';
export const searchClient = algoliasearch( process.env.NEXT_PUBLIC_ALGOLIA_APP_ID!, process.env.NEXT_PUBLIC_ALGOLIA_SEARCH_KEY! // Search-only key! );
export const INDEX_NAME = 'products';
// components/Search.tsx 'use client'; import { InstantSearch, SearchBox, Hits, Configure } from 'react-instantsearch'; import { searchClient, INDEX_NAME } from '@/lib/algolia';
function Hit({ hit }: { hit: ProductHit }) { return ( <article> <h3>{hit.name}</h3> <p>{hit.description}</p> <span>${hit.price}</span> </article> ); }
export function ProductSearch() { return ( <InstantSearch searchClient={searchClient} indexName={INDEX_NAME}> <Configure hitsPerPage={20} /> <SearchBox placeholder="Search products..." classNames={{ root: 'relative', input: 'w-full px-4 py-2 border rounded', }} /> <Hits hitComponent={Hit} /> </InstantSearch> ); }
// Custom hook usage import { useSearchBox, useHits, useInstantSearch } from 'react-instantsearch';
function CustomSearch() { const { query, refine } = useSearchBox(); const { hits } = useHits<ProductHit>(); const { status } = useInstantSearch();
return ( <div> <input value={query} onChange={(e) => refine(e.target.value)} placeholder="Search..." /> {status === 'loading' && <p>Loading...</p>} <ul> {hits.map((hit) => ( <li key={hit.objectID}>{hit.name}</li> ))} </ul> </div> ); }
SSR integration for Next.js with react-instantsearch-nextjs package.
Use <InstantSearchNext> instead of <InstantSearch> for SSR. Supports both Pages Router and App Router (experimental).
Key considerations:
// app/search/page.tsx import { InstantSearchNext } from 'react-instantsearch-nextjs'; import { searchClient, INDEX_NAME } from '@/lib/algolia'; import { SearchBox, Hits, RefinementList } from 'react-instantsearch';
// Force dynamic rendering for fresh search results export const dynamic = 'force-dynamic';
export default function SearchPage() { return ( <InstantSearchNext searchClient={searchClient} indexName={INDEX_NAME} routing={{ router: { cleanUrlOnDispose: false, }, }} > <div className="flex gap-8"> <aside className="w-64"> <h3>Categories</h3> <RefinementList attribute="category" /> <h3>Brand</h3> <RefinementList attribute="brand" /> </aside> <main className="flex-1"> <SearchBox placeholder="Search products..." /> <Hits hitComponent={ProductHit} /> </main> </div> </InstantSearchNext> ); }
// For custom routing (URL synchronization) import { history } from 'instantsearch.js/es/lib/routers'; import { simple } from 'instantsearch.js/es/lib/stateMappings';
<InstantSearchNext searchClient={searchClient} indexName={INDEX_NAME} routing={{ router: history({ getLocation: () => typeof window === 'undefined' ? new URL(url) as unknown as Location : window.location, }), stateMapping: simple(), }} > {/* widgets */} </InstantSearchNext>
Indexing strategies for keeping Algolia in sync with your data.
Three main approaches: 1. Full Reindexing - Replace entire index (expensive) 2. Full Record Updates - Replace individual records 3. Partial Updates - Update specific attributes only
Best practices:
// lib/algolia-admin.ts (SERVER ONLY) import algoliasearch from 'algoliasearch';
// Admin client - NEVER expose to frontend const adminClient = algoliasearch( p
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Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…