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c

code-review (代码审查)

免费 AI智能

Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.

147 0 admin ClawHub
b

Manages client onboarding workflows — welcome sequences, document collection, intake forms, kickoff scheduling, and progress tracking. Supports multiple tracks (e.g., SMB vs Enterprise). Generates onboarding checklists and reminds about stalled accounts.

124 0 admin ClawHub
b

Long-term memory systems for AI agents. Implements vector memory, entity tracking, conversation summarization, and persistent context across sessions.

141 0 admin ClawHub
b

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142 0 admin ClawHub
b

Discover the best Shopify stores with PPSPY by filtering stores by traffic, revenue, language, region, theme, and single-product characteristics.

139 0 admin ClawHub
b

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116 0 admin ClawHub
b

Benchmark and rank AI providers/models against a user-specific prompt suite derived from the user's purpose, domain, and usage frequency. Use when users ask which model is smarter, cheaper, deeper, faster, worth using daily, better as local vs service, or when building repeatable benchmark specs, reranking old runs, generating markdown/HTML/PDF benchmark reports.

144 0 admin ClawHub
b

bellink (Bellink连接)

免费 AI智能

Connect your AI to 30+ business tools — Gmail, Calendar, Sheets, Mindbody, Meta Ads, Linear, Airtable, Notion, Stripe, and more. One URL, every app.

138 0 admin ClawHub
b

belgium (比利时助手)

免费 AI智能

Country information assistant for Belgium 比利时. Get travel info, economy data, culture, visa policies, and news.

120 0 admin ClawHub
b

Track configured Beijing Housing Commission new-home projects from bjjs.zjw.beijing.gov.cn project-detail URLs, read project signed-unit counts, signed area, and average price, crawl building tables including “查看更多” and paginated lists, treat both “已签约” and “网上联机备案” as signed units, estimate the implied average price per m² of newly signed rooms from changes between the previous and current project summaries, cache unsold room metadata locally, persist rows into a Feishu spreadsheet as the singl

163 0 admin ClawHub

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