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Found 1,434 Skills
Write technical blog posts, tutorials, and documentation in Flatiron School's engaging style. Use for explaining code patterns, debugging stories, or turning complex topics into clear narratives. Triggers on "write a blog post", "tutorial about", "explain how", "technical writing".
Evaluate and update Pollinations user tiers. Check balances, upgrade devs, batch process users. For finding users with errors, see model-debugging skill first.
Automatically discover software engineering practice skills when working with code review, documentation, pair programming, production debugging, performance profiling, deployment strategies, or software engineering practices. Activates for engineering development tasks.
Use when working on vLLM Studio backend architecture (controller runtime, Pi-mono agent loop, OpenAI-compatible endpoints, LiteLLM gateway, inference process, and debugging commands).
Conducts systematic root cause analysis using proven methodologies including Toyota's 5 Whys, Ishikawa fishbone diagrams, Pareto analysis, and fault tree analysis. Use when investigating bugs, debugging code, troubleshooting systems, diagnosing equipment failures, analyzing life problems, or identifying underlying causes of any issue across software engineering, hardware maintenance, process failures, or personal challenges.
Help with Stripe payment integration in Next.js projects. Use when implementing checkout flows, subscriptions, webhooks, customer portal, or debugging payment issues. Covers Stripe SDK usage, webhook verification, and subscription management.
Instrument applications with OpenTelemetry SDK and validate telemetry using Kopai. Use when setting up observability, adding tracing/logging/metrics, testing instrumentation, or debugging missing telemetry data.
TanStack Query v5 expert guidance - migration gotchas (v4→v5 breaking changes), performance pitfalls (infinite refetch loops, staleness traps), and decision frameworks (when NOT to use queries, SWR vs React Query trade-offs). Use when: (1) debugging v4→v5 migration errors (gcTime, isPending, throwOnError), (2) infinite refetch loops, (3) SSR hydration mismatches, (4) choosing between React Query vs SWR vs fetch, (5) optimistic update patterns not working. NOT for basic setup (see official docs). Focuses on non-obvious decisions and patterns that cause production issues. Triggers: React Query, TanStack Query, v5 migration, refetch loop, stale data, SSR hydration, query invalidation, optimistic updates debugging.
Up-to-date Zig programming language patterns for version 0.15.x. Use when writing, reviewing, or debugging Zig code, working with build.zig and build.zig.zon files, or using comptime metaprogramming. Critical for avoiding outdated patterns from training data - especially build system APIs (root_module instead of root_source_file), I/O APIs (buffered writer pattern), container initialization (.empty/.init), allocator selection (DebugAllocator), and removed language features (async/await, usingnamespace).
Gemini CLI - Google's AI-powered command-line interface for building, debugging, and deploying with AI. Use when working with Gemini CLI configuration, commands, tools, extensions, hooks, skills, or MCP servers. Keywords: gemini-cli, google-ai, terminal, code-generation, workflow-automation, cli-commands, gemini-md, authentication, configuration, sandboxing, headless-mode, custom-commands, agent-skills, extensions, hooks, mcp-servers, file-system-tools, shell-commands, web-search, ide-integration.
Nuxt 4 data management: composables, data fetching with useFetch/useAsyncData, and state management with useState and Pinia. Use when: creating custom composables, fetching data with useFetch or useAsyncData, managing global state with useState, integrating Pinia, debugging reactive data issues, or implementing SSR-safe state patterns. Keywords: useFetch, useAsyncData, $fetch, useState, composables, Pinia, data fetching, state management, reactive, shallow reactivity, reactive keys, transform, pending, error, refresh, dedupe, caching
AWS Step Functions workflow orchestration with state machines. Use when designing workflows, implementing error handling, configuring parallel execution, integrating with AWS services, or debugging executions.