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Found 1,667 Skills
Essential CloudBase (TCB, Tencent CloudBase, 云开发, 微信云开发) development guidelines. MUST read when working with CloudBase projects, developing web apps, mini programs, backend services, fullstack development, static deployment, cloud functions, mysql/nosql database, authentication, cloud storage, web search or AI(LLM streaming) using CloudBase platform. Great supabase alternative.
CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, or using {variable} interpolation.
Manual test planning, writing, reviewing, executing, and maintaining test cases. Use when: user asks to write test cases, create a test plan, run manual tests, review test coverage, update tests after feature changes, or asks 'how should I test this'. Also trigger after implementing features that change system behavior — per CLAUDE.md, updating the manual test plan is mandatory. Covers API/backend, frontend, pipeline/workflow, AI/LLM, and infrastructure testing patterns.
Diagnose why a listing is losing the Amazon Buy Box (Featured Offer) and build a plan to win it back. Covers seller-health signals, pricing relative to the competing offer, fulfillment method, stock, and account metrics. Use when a user asks why they lost the Buy Box, how to win the Featured Offer, why a reseller is beating them, or why their own listing shows another seller's offer. Trigger phrases: "buy box", "featured offer", "lost the buy box", "win the buy box", "buy box percentage", "another seller has my listing". Works with zero tools. the user describes the offer and account state.
Guides users through distributing Tauri applications to the iOS App Store, including Apple Developer enrollment, Xcode configuration, provisioning profiles, code signing, TestFlight beta testing, and App Store submission processes.
Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.
Use when running tests to validate implementations, collecting test evidence, or debugging failures. Load in TEST state. Covers unit tests (pytest/jest), API tests (curl), browser tests (Claude-in-Chrome), database verification. All results are code-verified, not LLM-judged.
Defend Amazon chargebacks and A-to-z claims within the 3-day A-to-z response window. Identifies the claim type, builds the evidence packet (tracking, signature, messaging history, fulfillment proof), and writes the response narrative Amazon's case reviewers read for. Use when a user asks about chargebacks, A-to-z claims, INR (item not received), SNAD (significantly not as described), payment disputes, or defending an order claim. Trigger phrases: "chargeback", "A-to-z claim", "INR", "SNAD", "dispute", "buyer claim", "order defense". Works with zero tools. the user pastes the claim text and order data.
Forecast cash flow under Amazon's DD+7 (Delivery-Date-Based Reserve) payout policy. Models when funds clear, sizes the working-capital buffer the seller needs, and stress-tests scenarios for slow shipping or refund spikes. Use when a user asks about DD+7, Delivery-Date-Based Reserve, payout delays, working capital, cash flow under the new reserve policy, or how much cash they need to keep on hand. Trigger phrases: "DD+7", "payout reserve", "delivery date reserve", "working capital", "cash flow", "Amazon holds my money". Works with zero tools. the user provides sales velocity, fulfillment mix, and seasonality.
Audit Amazon Payments report for fee errors. Finds incorrect FBA fulfillment fees (wrong size tier), missing referral fee credits on refunds, duplicate charges, and FBA storage discrepancies, and produces an FBA fee-discrepancy case packet per finding. Use when a user asks about Amazon fee errors, overcharged fees, wrong size tier, missing referral refunds, fee audit, or Payments report analysis. Trigger phrases: "fee audit", "overcharged", "wrong fee", "size tier error", "referral fee refund", "payments report", "FBA fee dispute". Works with zero tools. the user pastes Payments report rows.
Guide a seller through Amazon Brand Registry enrollment and turn the benefits into action. Covers trademark requirements, the enrollment steps, and how to use Brand Registry tools once approved (A+ Content, Stores, Sponsored Brands, Brand Analytics, Project Zero, Transparency, brand protection). Use when a user asks about Brand Registry, enrolling a brand, trademark requirements for Amazon, protecting a brand, or unlocking brand-only features. Trigger phrases: "brand registry", "enroll my brand", "trademark for amazon", "brand protection", "gated brand features". Works with zero tools.
Use when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration