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Found 1,056 Skills
ModelScope integration. Manage data, records, and automate workflows. Use when the user wants to interact with ModelScope data.
Wicked Reports integration. Manage data, records, and automate workflows. Use when the user wants to interact with Wicked Reports data.
Microsoft Excel integration. Manage data, records, and automate workflows. Use when the user wants to interact with Microsoft Excel data.
Scrapinghub integration. Manage data, records, and automate workflows. Use when the user wants to interact with Scrapinghub data.
QuestDB integration. Manage data, records, and automate workflows. Use when the user wants to interact with QuestDB data.
1Kosmos BlockID integration. Manage data, records, and automate workflows. Use when the user wants to interact with 1Kosmos BlockID data.
Primary Apex authoring skill for class generation, refactoring, and review. ALWAYS ACTIVATE when the user mentions Apex, .cls, triggers, or asks to create/refactor a class (service, selector, domain, batch, queueable, schedulable, invocable, DTO, utility, interface, abstract, exception, REST resource). Use this skill for requests involving SObject CRUD, mapping collections, fetching related records, scheduled jobs, batch jobs, trigger design, @AuraEnabled controllers, @RestResource endpoints, custom REST APIs, or code review of existing Apex.
Penneo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Penneo data.
Analyze production Agentforce agent behavior using session traces and Data Cloud. TRIGGER when: user queries STDM session data or Data Cloud trace records; investigates production agent failures, regressions, or performance issues; asks about session traces, conversation logs, or agent metrics; wants to reproduce a reported production issue in preview; runs findSessions or trace analysis queries. DO NOT TRIGGER when: user creates, modifies, or debugs .agent files during development (use developing-agentforce); writes or runs test specs (use testing-agentforce); uses sf agent preview for local development iteration; deploys or publishes agents.
Document the pitfalls encountered or good practices discovered during this work into searchable learning documents, which can be accessed by both AI and humans when similar tasks arise in the future. Two tracks: The pitfall track records experiences where "things should have worked but didn't" — including bugs, configuration traps, environment issues, and integration failures; The knowledge track records findings that "should be the default approach going forward" — including best practices, workflow improvements, and reusable patterns. Trigger scenarios: Proactively prompt at the end of feature-acceptance or issue-fix workflows, or when the user mentions phrases like "document knowledge", "learning", "document learnings", or "record this experience". Spec documents record what was done, while learning documents record what pitfalls were encountered / what was learned — they complement each other and are not interchangeable.
Document the finalized tech stack selections, architecture decisions, long-term constraints, and coding conventions in the project into searchable permanent records. No one will remember why X was chosen six months later, but with decision documents, at least the background can be understood before making changes next time. Four categories: tech-stack (which tools/libraries/frameworks to use), architecture (how the system is organized), constraint (what is not allowed), convention (what is uniformly done). Trigger scenarios: Proactively trigger after making important choices during feature-design or issue-analyze, or when the user says "record the decision", "archive tech selection", "ADR", "record this constraint", "write down the convention". Only archive finalized decisions; do not archive proposed solutions under discussion.
Smart Money analytics on OKX: leaderboard traders, position tracking, trade records, aggregated consensus signals, and signal history. Use this skill when the user asks about 聪明钱, smart money, 牛人榜, leaderboard, top traders, 带单员, lead traders, 交易员排行, trader ranking, trader positions, trader PnL, 交易员持仓, 交易员收益, smart money signal, 聪明钱信号, long/short ratio, 多空比, capital flow, 资金流向, position conviction, 仓位强度, entry price distribution, smart money overview, 聪明钱总览, signal history, 信号历史, trader search, 搜索交易员, who is trading BTC, 谁在交易BTC, recommend traders, 推荐交易员, best traders, top performers.