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Found 2,512 Skills
Jungle Scout ASIN Sales Estimate Query: Returns daily estimated sales volume and the latest known price for a specified ASIN over a period on a daily basis, covering 10 marketplaces including the US, UK, Germany, Japan, etc. This skill is triggered when users mention terms such as ASIN sales estimate, ASIN daily sales, sales estimate, competitor sales monitoring, average daily sales, sales trend, product sales tracking, Jungle Scout sales data, sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales. Even if users do not explicitly mention "Jungle Scout", this skill should be triggered as long as their needs involve viewing daily sales estimate data for a specific Amazon ASIN over a period of time.
Design data architecture at enterprise and solution levels. Cover data mesh, lakehouse, governance, domain-driven design, conceptual/logical/physical data modeling, platform selection, and compliance frameworks. Produce ADRs, data model diagrams, platform comparison matrices, and governance policy templates. Triggers on "design data platform", "choose data warehouse", "data mesh", "lakehouse architecture", "data governance", "data modeling", "platform selection", "data architecture decision", "compliance framework", or "data strategy". For applied AI solution architecture (RAG data plane, embeddings, vector stores in commercial or enterprise products), use applied-ai-architect-commercial-enterprise. For dbt analytics layers and mart delivery, use analytics-data-engineer—not data-architect.
Alibaba Cloud EMAS APM (mobile Application Performance Monitoring) issue troubleshooting skill. Covers the 4 read-only OpenAPIs exposed by the `aliyun emas-appmonitor` plugin: `get-issues` / `get-issue` / `get-errors` / `get-error`. Capabilities: Top-N aggregation, sample stack drill-down and dimension breakdowns for 6 issue types (crash / anr / lag / custom / memory_leak / memory_alloc), combined with the user's source code (Java / Kotlin / Objective-C / Swift / ArkTS / Dart / C# / JS) to produce root cause analysis and fix suggestions. Client coverage: native Android / iOS / HarmonyOS, Flutter, Unity (bundled to android / iphoneos / harmony; H5 is out of scope). Triggers: analyze app crash, troubleshoot ANR, APM crash investigation, list top issues, "what is this digestHash", iOS ANR Top 5, Android memory leak analysis, Flutter custom exception stacks, pull lag samples, emas appmonitor usage, sort issues by error rate, map stack to source, appKey problem, EMAS APM issue analysis, analyze APM issues.
Build and maintain project-specific review policy for `agentic-review` by combining repository docs (`AGENTS.md`, `ENGINEERING.md`, `CONTEXT.md`/`CONTEXT-MAP.md`, ADRs), repository-mined conventions, and structured user input, then writing machine-usable policy files under `<docs-dir>/review/policies/`, including audit-governance metadata consumed by `agentic-review`. Use when the user wants architecture integrity checks (onion/clean/hexagonal), module-specific review rules, dependency-direction policy, naming/inheritance convention enforcement, stricter project/domain review standards, or explicit auditability requirements for specialist review coverage.
Manages environment variables and secrets securely with encryption, rotation, and provider integration. Use when users request "secrets management", "environment variables", "API keys", "credentials storage", or "secret rotation".
The entry point for building any Salesforce native mobile app on iOS or Android. TRIGGER when the user says: "build a Salesforce iOS app", "add Salesforce login to my Android app", "set up Mobile SDK", "add MobileSync / SmartStore offline storage", "embed an Agentforce agent in my mobile app", "add Agentforce chat to iOS/Android", or otherwise asks to create, extend, or integrate a Salesforce mobile experience in Swift or Kotlin (MSDK, Agentforce SDK, or both). SKIP when the user is building a non-Salesforce mobile app, using React Native / Flutter / Ionic without Salesforce integration, asking about generic mobile UI design, or working on a Salesforce-adjacent web/desktop surface (LWC, Experience Cloud, Mobile Publisher branding-only).
Auto-activate for polyfactory, ModelFactory, DataclassFactory, MsgspecFactory, AttrsFactory, Use, register_fixture, pytest plugin, __random_seed__, or coverage(). Not for production seeding.
Run Rivet entirely inside your own perimeter: single-binary or Docker Compose install, file system storage with no database infrastructure, and no outbound telemetry by default.
Build sophisticated React animations with Motion (formerly Framer Motion) - declarative animations, gestures (drag, hover, tap), scroll effects, spring physics, layout animations, and SVG manipulation. Optimize bundle size with LazyMotion (4.6 KB) or useAnimate mini (2.3 KB). Use when: adding drag-and-drop interactions, creating scroll-triggered animations, implementing modal dialogs with transitions, building carousels with momentum, animating page/route transitions, creating parallax hero sections, implementing accordions with smooth expand/collapse, or optimizing animation bundle sizes. For simple list animations, use auto-animate skill instead (3.28 KB vs 34 KB). Troubleshoot: AnimatePresence exit not working, large list performance issues, Tailwind transition conflicts, Next.js "use client" errors, scrollable container layout issues, or Cloudflare Workers build errors (resolved Dec 2024).
Consult an advisory council of three AI personas — Cato (skeptic), Ada (optimist), Marcus (pragmatist) — backed by different frontier LLM agents (Gemini, Claude, Codex). Each persona runs as a separate agent process with full repo context and returns independent feedback. Use when the user says "/council", asks for a second opinion, wants feedback on code changes, needs a premortem, wants to pressure-test a decision, or asks "what do you think about this approach?" Claude may also proactively suggest consulting the council before major architectural decisions, risky deploys, or ambiguous trade-offs (but should ask for user approval first).
Analyze disk images and file systems for forensic investigation. Use when investigating data theft, insider threats, malware persistence, deleted file recovery, or any incident requiring analysis of storage media. Supports NTFS, FAT, EXT, HFS+, and APFS file systems.
Use when implementing draft/publish workflows, version history, content rollback, or audit trails. Covers versioning strategies, snapshot storage, diff generation, and version comparison APIs for headless CMS.