Loading...
Loading...
Found 12,125 Skills
Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.
Constituent stocks of an index or ETF via Longbridge Securities — list members of HSI / SPX / DJI / IXIC / CSI300 / a sector ETF, sortable by change, price, turnover, capital inflow, turnover-rate, or market cap. Returns a ranked roster. Triggers: "标普500有哪些", "标普成分股", "恒生成分股", "纳斯达克成分", "道琼斯成分", "沪深300成分", "ETF 持仓", "ETF 成分股", "指数成分", "成分股涨幅榜", "標普500成分", "恒生成分股", "納斯達克成分", "道瓊成分", "滬深300成分", "ETF 持倉", "ETF 成分股", "指數成分", "成分股漲幅榜", "S&P 500 constituents", "Hang Seng constituents", "IXIC components", "Dow components", "CSI 300 members", "ETF holdings", "ETF constituents", "index members", "what's in SPX", "what's in HSI", "HSI.HK", "SPX.US", "IXIC.US", "DJI.US", "000300.SH".
Produce implementation-ready UX and UI specifications: user flows, states, component briefs, design tokens, accessibility constraints, and handoff guidance for frontend engineering agents. Use for new features, redesigns, or design-system work where implementation should follow a clear product and interaction spec.
Universal AI image generation supporting OpenAI DALL·E / gpt-image, Google Gemini Image / Imagen, Replicate (Flux / SDXL / any model), Stability AI, FAL, Ark (Seedream 4.5), Bailian (qwen-image / wanx), and SiliconFlow. Use this skill whenever the user asks to generate, create, draw, illustrate, render, or synthesize images from text prompts or reference images. Typical phrases include "draw a ...", "generate an image of ...", "画一张 ...", "给我来张图", "make a poster of ...", "create an illustration ...", or any mention of image-generation model families like DALL·E, gpt-image, Flux, SDXL, Seedream, Imagen, Gemini image, Kolors, or Wanx. Always use this skill even if the user does not name a specific model — pick a provider based on their EXTEND.md defaults or available API keys in the environment. Do NOT use this skill when the user explicitly mentions 即梦 / Dreamina / Jimeng — those go to happy-dreamina instead.
Use when the user asks to track technical changes, create change records, manage TC lifecycles, or hand off work between AI sessions. Covers init/create/update/status/resume/close/export workflows for structured code change documentation.
Use when the user wants Facebook research or workflow guidance for lead generation, influencer discovery, brand monitoring, competitor analysis, content analytics, trend research, or audience analysis, including page or profile audits, post, reel, photo, or comment extraction, group monitoring, transcript retrieval, and Facebook ad or advertiser analysis.
Comprehensive testing doctrine for software and AI systems — covers positive patterns, anti-patterns, gates for coding agents writing tests, CI discipline, and an LLM/agent evaluation primer. Use when authoring or reviewing tests, adding mocks, deciding test placement, generating tests via agents, debugging flaky CI, designing eval suites for LLM features, or rebuilding a brittle test suite. Contains 12 positive patterns (selector hierarchy, table-driven, builders, real-system gates), 25 anti-patterns across Brittleness, Flakiness, Mock-misuse, Process, and AI-specific families, 7 mandatory gates for agents writing tests, flaky-test taxonomy with quarantine workflow, contract / property / mutation testing patterns, and an oracle-ladder primer for LLM-as-judge and agent eval. Language-agnostic — pseudo-code only. Don't use for general code review, library-specific debugging unrelated to tests, non-testing CI pipeline design, or production observability.
Cross-market financial metrics batch query — revenue, net profit, ROE, debt ratio, free cash flow, gross margin for one or more symbols across HK / US / A-share / SG markets. Supports multi-symbol horizontal comparison, similar to natural-language financial screening. Triggers: "财务数据查询", "财务指标", "营收查询", "净利润查询", "ROE查询", "负债率", "现金流查询", "毛利率查询", "财务数据批量", "財務數據查詢", "財務指標", "營收查詢", "淨利潤查詢", "ROE查詢", "負債率", "現金流查詢", "毛利率查詢", "financial data query", "revenue query", "net profit query", "ROE query", "debt ratio", "free cash flow", "gross margin query", "financial metrics", "financial comparison", "batch financials".
Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a monitoring report with add / reduce / stop-loss recommendations. Triggers: "投后监控", "持仓监控", "定期复盘", "跟踪持仓", "持仓检视", "KPI跟踪", "业绩追踪", "投後監控", "持倉監控", "定期複盤", "追蹤持倉", "KPI追蹤", "post-investment monitoring", "position monitoring", "portfolio review", "KPI tracking", "performance tracking", "investment monitoring", "holding review".
Salesforce Data Cloud Retrieve phase. Use this skill when the user runs Data Cloud SQL, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. TRIGGER when: user runs Data Cloud SQL, describe, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. DO NOT TRIGGER when: the task is standard CRM SOQL (use querying-soql), segment creation or calculated insight design (use segmenting-datacloud), or STDM/session tracing/parquet analysis (use observing-agentforce).
Build, modify, debug, and deploy agents with Agentforce Agent Script. TRIGGER when: user creates, modifies, or asks about .agent files or aiAuthoringBundle metadata; changes agent behavior, responses, or conversation logic; designs agent actions, tools, subagents, or flow control; writes or reviews an Agent Spec; previews, debugs, deploys, publishes, or tests agents; uses Agent Script CLI commands (sf agent generate/preview/publish/test). DO NOT TRIGGER when: Apex development, Flow building, Prompt Template authoring, Experience Cloud configuration, or general Salesforce CLI tasks unrelated to Agent Script.
Analyze a batch of functional specs from a ***plain spec file to determine which pairs conflict. Replaces the pair-by-pair `analyze-2-func-specs` flow when a caller wants to check many specs at once (e.g. a new spec against every existing spec, or a freshly inserted batch against itself).