All Skills

Use this skill when the user wants Hive from a terminal — "run a CLI command for…", "show me from the terminal", "pipe this into jq", "give me a shell script", "set up a daily briefing", cron jobs, or local diagnostics like hive doctor. Covers install, auth, domain subcommands, JSON/jq output, and scripting patterns. For agent-side tool calls use the MCP path instead; for app code use hive-build.

Master orchestrator for React 16/17 → 18.3.1 migration. Designed for class-component-heavy codebases. Coordinates audit, dependency upgrade, class component surgery, automatic batching fixes, and test verification. Uses memory to gate each phase and resume interrupted sessions. 18.3.1 is the target - it surface-exposes every deprecation that React 19 will remove, so the output is a codebase ready for the React 19 orchestra next.

Use this skill whenever the user asks whether a specific token is real, legit, liquid, well-held, enriched, investable, or worth researching — "is this token a scam", "run diligence on 0x…", "who holds this", "does it have real liquidity" — even if they never say "diligence". Investigates metadata, market context, holders, DEX liquidity, enrichment, and risk signals for an exact chain and contract. For pre-transaction risk checks (approvals, signing, swap simulation) use hive-security-risk; for pool-level depth and trade flow use hive-dex-pool-analysis; for Solana mints use hive-solana-analysis.

Auto-instrument Node.js applications with distributed tracing, metrics, and logs.

Build content moderation applications using the Azure AI Content Safety SDK for Java.

Apply modern CLI development toolchain patterns: Commander.js (default), oclif, Ink for Node.js command-line tools. Use when building CLI applications, choosing CLI frameworks, or discussing terminal UX.

Specialized in performance bottleneck detection, algorithmic efficiency analysis, and optimization opportunities

Use when an outage, production incident, or significant service degradation has occurred and the team needs to write a structured blameless post-mortem. Triggers on phrases like "write a post-mortem", "incident review", "what went wrong", "outage report", "root cause analysis", or "RCA". Covers timeline reconstruction, contributing factor analysis, impact quantification, and action item generation with owners.

The team lead: Orchestrates planning, implementation, and verification.

Update existing object-oriented component documentation following industry best practices and architectural documentation standards.

Crypto wallet management across 7 blockchains via EmblemAI Agent Hustle API. Balance checks, token swaps, portfolio analysis, and transaction execution for Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin.

Expert in secure mobile coding practices specializing in input validation, WebView security, and mobile-specific security patterns.

Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.

Build ASP.NET Core 8+ backend services with EF Core, auth, background jobs, and production API patterns.

Use Redis over HTTP from serverless and edge runtimes with @upstash/redis, and add rate limiting with @upstash/ratelimit. Use when the user mentions Upstash Redis, needs Redis from a Next.js route handler or middleware, Vercel, Cloudflare Workers, Deno, or Bun without TCP connection pooling, or wants cache-aside with TTLs, a session store, counters, or a 429 rate limiter using fixed window, sliding window, or token bucket. DO NOT use for self-hosted or TCP Redis clients (ioredis, node-redis), Redis Cluster administration, or vector similarity search.

Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.

Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.

Get best practices for developing applications with Spring Boot.

Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.

expo-ui-swift-ui

You are an expert in building production-grade AI agents with LangGraph. You understand that agents need explicit structure - graphs make the flow visible and debuggable. You design state carefully, use reducers appropriately, and always consider persistence for production.