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Found 1,476 Skills
Inspect, operate, and troubleshoot ERDA runtimes through erda-cli-backed workflows. Use when users need help with runtime status, deployment behavior, logs, scaling, restarts, or environment-oriented ERDA troubleshooting.
Wave platform help — AI note-taker with mobile-first recording (iOS, Android, Mac, Windows, Apple Watch, Chrome, web), 76-language transcription, Voice ID speaker labeling, REST API with semantic search and webhooks, MCP server. Use when recording meetings on your phone and transcripts aren't accurate, setting up Wave API to pull session transcripts into your CRM, configuring Wave webhooks for real-time session notifications, phone call recording stops when another call comes in, Wave meeting bot not joining Zoom or Google Meet, comparing Wave pricing vs Fathom or Otter for a small team, searching across all your Wave recordings with the API, or exporting Wave summaries to Notion or Google Docs. Do NOT use for choosing between multiple note-takers (use /sales-note-taker) or reviewing a call for coaching (use /sales-call-review).
Scrape lokasi dari Google Maps — coffee shop, restoran, tempat wisata. Trigger: 'scrape google maps', 'cari coffee shop', 'cari tempat makan'
Smart-money and ownership-flow signals for a single stock via Longbridge Securities — SEC 13F institutional portfolios + position changes (US), funds and ETFs that hold the stock, SEC Form 4 insider trades (US-only), US short-interest history, and HK broker holdings (HK-only). Read-only. Markets vary by subcommand. Triggers: "13F", "机构持仓", "基金持仓", "ETF 持有", "持有这只股票的基金", "内部人交易", "高管买卖", "Form 4", "做空数据", "空头", "卖空", "经纪商持仓", "中央结算", "13F", "機構持倉", "基金持倉", "ETF 持有", "持有這隻股票的基金", "內部人交易", "高管買賣", "做空數據", "空頭", "賣空", "經紀商持倉", "中央結算", "13F holdings", "institutional holders", "fund holders", "ETF holders", "insider trades", "insider buying", "insider selling", "Form 4", "short interest", "days to cover", "short ratio", "broker holding", "CCASS", "AAPL insider sales", "TSLA short interest", "700.HK broker holding".
Corporate event-driven analysis via Longbridge Securities — captures and classifies events that create pricing dislocations: major-shareholder increases/decreases, equity incentives, private placements, rights issues, buybacks, M&A/restructuring, index rebalancing, and management changes. Combines filings, corporate actions, and shareholder data to produce event signals. Triggers: "公司事件", "事件驱动", "大股东增持", "大股东减持", "股权激励", "定增", "配股", "回购", "并购重组", "指数调整", "管理层变更", "公告分析", "公司事件", "事件驅動", "大股東增持", "大股東減持", "股權激勵", "定增", "配股", "回購", "並購重組", "指數調整", "corporate event", "event-driven", "share buyback", "equity incentive", "major shareholder increase", "rights issue", "M&A arbitrage", "index rebalancing", "insider buying", "corporate action analysis".
Draft, restructure, or plan Nature-style manuscript sections from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, results narrative, discussion, conclusion, title, or full manuscript argument rather than only polish finished prose.
Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based projects and supports research writing, product document collaboration, software project coordination, and broader cross-functional project continuity.
Write, review, and restructure useful documentation with Diataxis, audience-specific README patterns, and AI-writing trope cleanup. Use when creating docs, improving READMEs, reorganizing documentation, or editing prose for clarity.
Automate your return and refund process with configurable return windows, restocking fees, and rule-based approval logic for each product type
Implement strong encryption using AES, RSA, TLS, and proper key management. Use when securing data at rest, in transit, or implementing end-to-end encryption.
Backend development specialist covering API design, database integration, microservices architecture, and modern backend patterns. Use when user asks about API design, REST or GraphQL endpoints, server implementation, authentication, authorization, middleware, or backend service architecture. Do NOT use for database-specific schema design or query optimization (use moai-domain-database instead) or frontend implementation (use moai-domain-frontend instead).
Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality. Use when: (1) Building REST APIs with FastAPI, (2) Implementing JWT/OAuth2 authentication, (3) Setting up SQLAlchemy/async databases, (4) Integrating Redis/Upstash caching, (5) Refactoring AI-generated Python code (deslopification), (6) Designing API patterns, or (7) Optimizing backend performance.