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Found 2,506 Skills
Publishing, updating, and serving decentralized websites on Walrus Sites. Use when the user needs to deploy a frontend to Walrus Sites, run a local portal for testnet, debug site-builder errors, configure ws-resources.json, or manage site object lifecycle (update, destroy, extend blobs). Also use when the user asks about site-builder, walrus-sites, portal setup, or hosting a dApp on Walrus. For blob storage without the Sites framework (raw upload/download), see the `accessing-data` skill's walrus.md.
Deep reference for the Sui object model: ownership types, object abilities, dynamic fields, collections, versioning, transfer patterns, and derived objects. Use this skill whenever the user asks about Sui objects, object ownership (address-owned, shared, immutable, wrapped), how to transfer or share or freeze objects, dynamic fields vs dynamic object fields, Table vs Bag vs VecMap, object versioning, wrapping and unwrapping, the Receiving type, custom transfer rules, hot potato pattern, capability pattern, object deletion, Object Display, or how to model data (inventories, registries, nested items) in Sui Move. Also use when the user needs to choose between ownership types or storage patterns for their use case.
Financial Data Analysis Skill (based on `bl mcp` + Alibaba Cloud Bailian MCP Market `market-cmapi00073529`), covering financial instruments such as China A-shares, funds, and bonds. It supports stock screening, fund screening, fund manager screening, financial data query (net profit / revenue / ROE, etc.), macro and industry time-series data (GDP / CPI / production-sales-price), brokerage research report retrieval, and A-share listed company announcement retrieval. Be sure to activate when users ask about the following keywords: stock selection / stock screening, fund screening, fund manager screening, financial data / net profit / revenue / valuation, macroeconomy / GDP / CPI, industry production-sales-price, brokerage research report / industry research report, listed company announcement. Not applicable to: general programming issues, non-financial data, non-Chinese market instruments.
Comprehensive guide for building full-stack applications with Convex and TanStack Start. This skill should be used when working on projects that use Convex as the backend database with TanStack Start (React meta-framework). Covers schema design, queries, mutations, actions, authentication with Better Auth, routing, data fetching patterns, SSR, file storage, scheduling, AI agents, and frontend patterns. Use this when implementing features, debugging issues, or needing guidance on Convex + TanStack Start best practices.
Multi-source search and deduplication layer with intent-aware scoring. Integrates Brave Search (web_search), Exa, Tavily, and Grok to provide high-coverage, high-quality results. Automatically classifies query intent and adjusts search strategy, scoring weights, and result synthesis accordingly. Activated for "deep search", "multi-source search", or when high-quality research is needed.
Google Cloud Platform CLI (gcloud, gcloud storage, bq). Use when: managing GCP resources, deploying to Cloud Run/Cloud Functions/GKE/App Engine, working with Cloud Storage, BigQuery, IAM, Compute Engine, Cloud SQL, Pub/Sub, Secret Manager, Artifact Registry, Cloud Build, Cloud Scheduler, Cloud Tasks, Vertex AI, VPC/networking, DNS, logging/monitoring, or any GCP service. Also covers: authentication, project/config management, CI/CD integration, serverless deployments, container registry, docker push to GCP, managing secrets, Workload Identity Federation, and infrastructure automation.
bkend.ai database expert skill. Covers table creation, CRUD operations, 7 column types, constraints, filtering (AND/OR, 8 operators), sorting, pagination, relations, joins, indexing, and schema management via MCP and REST API. Triggers: table, column, CRUD, schema, index, filter, query, data model, 테이블, 컬럼, 스키마, 인덱스, 필터, 쿼리, 데이터 모델, テーブル, カラム, スキーマ, インデックス, フィルター, 数据表, 列, 模式, 索引, 过滤, 查询, tabla, columna, esquema, indice, filtro, consulta, tableau, colonne, schema, index, filtre, requete, Tabelle, Spalte, Schema, Index, Filter, Abfrage, tabella, colonna, schema, indice, filtro, query Do NOT use for: authentication (use bkend-auth), file storage (use bkend-storage), platform management (use bkend-quickstart).
Jotai状態管理ライブラリのエキスパートスキル。Reactアプリケーションでのatomベースの状態管理を実装する際に使用。以下の場合にこのスキルを使用: (1) Jotaiのatom設計・実装 (2) 派生atom、非同期atom、atomFamilyの実装 (3) Jotaiのベストプラクティスに基づくリファクタリング (4) パフォーマンス最適化（selectAtom、splitAtom等） (5) 永続化（localStorage/sessionStorage連携） (6) TypeScript型定義 (7) テスト実装 ユーザーが「Jotai」「atom」「状態管理」に関する質問や実装依頼をした場合に発動。
Create and modify Google Docs documents. Read document content and structure, manage formatting, paragraphs, and styles. Use when working with Google Docs document management.
Search, read, and extract attachments from Apple Mail's local storage. Query emails by sender, recipient, subject, body, date, mailbox, and flags. Read raw RFC822 messages and extract file attachments.
Propose concrete, high-leverage product/UX improvements to increase a software project's appeal and retention. Use when asked to generate product improvement proposals, UX ideas, onboarding/doc improvements, packaging/pricing positioning suggestions grounded in repo evidence, and prioritized MVP plans (ideation only; no implementation).
Ingest, QC, and map reads with reproducible outputs. Use for raw read processing and coverage stats.