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Found 6,717 Skills
Query Google NotebookLM notebooks for source-grounded, citation-backed answers from user-uploaded documents. Manages notebook library, handles Google authentication, and supports smart discovery. Works standalone via /blog notebooklm or internally from blog-write and blog-researcher for Tier 1 research data. Falls back gracefully when not configured. Use when user says "notebooklm", "notebook", "query notebook", "ask notebook", "notebook research", "source grounded research", "document query", "notebook library".
Leverage the market statistics capability of SellerSprite to output a market statistics dashboard by category node, including metrics such as average rating, average price, BSR, sales volume, number of sellers, and new product-related indicators for top Listings. It is suitable for quickly judging the market quality and competitive landscape of a certain category. This skill is triggered when the user mentions category market statistics, market selection dashboard, market foundation assessment, node market quality, top product statistics, SellerSprite market statistics, or category statistics. Even if the user does not explicitly mention "SellerSprite", this skill should be triggered as long as the requirement is to view aggregated statistical results by category node.
Categorize invoices and receipts by vendor, expense category, and tax bucket, detect duplicates, and produce a tax-ready monthly summary. Use during bookkeeping, tax prep, expense reimbursement, or when the user mentions receipts, invoices, expenses, bookkeeping, or tax categorization.
Search Google Scholar via Chrome DevTools MCP, let the user select a paper, and retrieve its BibTeX entry. 通过 Chrome DevTools MCP 在 Google Scholar 搜索论文并获取 BibTeX 引用。
This skill should be used when the user asks to draft or structure STR reports, suspicious transaction reports, SAR, suspicious activity reports, draft STR, STR narrative, file suspicious activity, AML STR, goAML, FinCEN SAR, suspicion narrative, or MLRO report. Guides jurisdiction-agnostic STR/SAR drafting—narrative structure (who, what, when, where, why suspicious), red flags and typologies, transaction aggregation and chronology, subject identification fields, supporting documentation checklists, quality review before filing, and escalation to MLRO/compliance—not TM rule building (aml-compliance), full LE case management, legal filing duty determination (commercial-counsel), or deep blockchain tracing (blockint skills). Complements aml-compliance, aml-cft, auditor, compliance-engineer, and commercial-counsel.
Perform language and framework specific security best-practice reviews and suggest improvements. Use when the user explicitly requests security best practices guidance, a security review or report, or secure-by-default coding help. Supports Python, JavaScript/TypeScript, and Go. Do NOT use for general code review, debugging, threat modeling (use security-threat-model), or non-security tasks.
Manim CE animations: 3Blue1Brown math/algo videos.
Use when writing or debugging OAS geometry — points, polygons, line segments, arcs, circles, spirals, fillets, units, or coordinate conventions. Load before any geometry-heavy edit.
Use quando o usuário esqueceu algo, quer adicionar, remover, corrigir ou mudar um pedido em uma spec existente que já foi definida, planejada, está sendo implementada ou foi concluída. Use também quando uma transição automática detectar mudança tardia de comportamento, escopo, aceite, dados, segurança ou plano. Atualiza a fonte normativa, invalida somente os gates afetados e coordena a retomada; para criar a spec inicial use specsfy-03-specify, para decidir uma ambiguidade use specsfy-02-backlog e para implementar use specsfy-07-implement.
Help users build strategic partnerships and business development deals. Use when someone is pursuing a partnership, negotiating a BD deal, working with platforms like Google or Facebook, or trying to build distribution through partners.
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.