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Found 67 Skills
Use when the user asks about chaos engineering, fault injection, resilience testing, or HA verification for a SPECIFIC AWS service (e.g., RDS, EKS, MSK, ElastiCache, DynamoDB, S3, Lambda, OpenSearch, etc.). Triggers on "chaos testing on [service]", "fault injection for [service]", "how to test HA of [service]", "FIS scenarios/actions for [service]", "[service] failover testing", "[service] resilience testing", "[service] 混沌测试", "[service] 故障注入", "[service] 高可用验证", "对 [service] 做混沌实验", "test my [service]", "verify my [service] is resilient". Use this skill even when the user phrases it casually like "test my RDS" or "how resilient is my MSK cluster".
Generate a fully working React + Vite app that explains a codebase's workflows, data types, and architecture through interactive visuals — click-to-step animated walkthroughs with auto-play, sequence diagrams, animated packet tracers, message inspectors that toggle between named-field view and raw JSON, and collapsible code peeks with file:line citations. Splits the repo into 4–6 domain clusters and dispatches one content agent per cluster to write the pages in parallel. The skill bundles its own reference pages (under references/examples/) so it works in any repo. Use this skill whenever the user asks for interactive docs, animated explainers, an "agent team" for docs, one page per domain, wants to visualize a system's request flow or wire protocol, or any visual documentation site. Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in .claude/settings.json.
Has SM been in this token for weeks, or did they just enter? Are they still buying?
This skill teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous threat detection across AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting finding severity levels, and building automated response workflows using EventBridge and Lambda.
This Skill summarizes common TypeScript issues and their solutions in Lynx development, mainly covering environment configuration, type extending, event handling, components, and ReactLynx advanced usages. Trigger Scenarios: - User inputs TypeScript error messages related to Lynx and seeks fix suggestions - LSP diagnoses Lynx-related TypeScript errors, proactively invoke query to get fix solutions - User asks about TypeScript best practices or common errors related to Lynx, proactively invoke query to provide guidance - User requests to configure the TypeScript environment of the current project to support Lynx development, proactively invoke query to provide configuration steps
Use when the user mentions DhanHQ, Dhan API, or wants to trade on Indian exchanges (NSE, BSE, MCX). Triggers for: place, modify, or cancel stock/F&O/commodity orders on Dhan; fetch portfolio holdings or positions; get live or historical market data; access option chains with Greeks; check fund limits or margin; build any trading automation for Indian markets; resolve NSE/BSE instrument IDs; stream live WebSocket market feeds or order updates. Also trigger for general questions about programmatic trading on Indian exchanges if Dhan is the user's broker.
Browse, filter, and download life sciences, biology, and medical preprints from bioRxiv and medRxiv. Supports fetching paper metadata by DOI, and browsing by date range with category and keyword filters. Keyword filtering is local, so date ranges MUST be narrow (1-4 weeks) with a category to prevent timeouts.
Turn long, messy AI chat conversations into clear, durable, and easily scannable reference documents that humans can reliably return to weeks or months later.
Perform blunt, high-intensity code review in Ukrainian with a colloquial style inspired by Oleksandr Povoroznyuk. Use when users explicitly ask for a harsh/rough tone, slang-heavy feedback, or review comments "in style of Поворознюк", including optional profanity. Keep findings technically precise, actionable, and evidence-based.
Custom training plans by goal (strength, cardio, flexibility). Progressive overload programming, rest day optimization, home vs gym adaptations, deload weeks.
A framework for classifying product decisions based on impact and reversibility. Use this when you feel like a bottleneck for your team, when you have a massive backlog of choices to make, or when you need to justify spending weeks of research on a single high-stakes problem.
Has SM been in this token for weeks, or did they just enter? Are they still buying?