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Found 9,295 Skills
Audit viral growth: social sharing, OG images, referrals, distribution. Outputs structured findings. Use log-virality-issues to create issues. Invoke for: shareability audit, referral review, distribution analysis.
Guide for theming .NET MAUI apps—light/dark mode support, AppThemeBinding, dynamic resources, ResourceDictionary theme switching, and system theme detection. USE FOR: "dark mode", "light mode", "theming", "AppThemeBinding", "theme switching", "ResourceDictionary theme", "dynamic resources", "system theme detection", "color scheme", "app theme". DO NOT USE FOR: localization or language switching (use maui-localization), accessibility visual adjustments (use maui-accessibility), or app icons (use maui-app-icons-splash).
Build, validate, and deploy LLM-as-Judge evaluators for automated quality assessment of LLM pipeline outputs. Use this skill whenever the user wants to: create an automated evaluator for subjective or nuanced failure modes, write a judge prompt for Pass/Fail assessment, split labeled data for judge development, measure judge alignment (TPR/TNR), estimate true success rates with bias correction, or set up CI evaluation pipelines. Also trigger when the user mentions "judge prompt", "automated eval", "LLM evaluator", "grading prompt", "alignment metrics", "true positive rate", or wants to move from manual trace review to automated evaluation. This skill covers the full lifecycle: prompt design → data splitting → iterative refinement → success rate estimation.
Galaxy project development conventions and skill routing guide. ALWAYS load this skill when working in a Galaxy codebase. Routes to appropriate skills: use /galaxy-db-migration for database/Alembic/schema changes, /galaxy-api-endpoint for creating REST API endpoints/FastAPI routers, /galaxy-testing for running or writing tests, /galaxy-linting for code formatting/linting/type checking. Use galaxy-explorer agent for codebase architecture questions.
When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.
Current Ethereum development tools, frameworks, libraries, RPCs, and block explorers. What actually works today for building on Ethereum. Includes tool discovery for AI agents — MCPs, abi.ninja, Foundry, Scaffold-ETH 2, Hardhat, and more. Use when setting up a dev environment, choosing tools, or when an agent needs to discover what's available.
Load PROACTIVELY when task involves payments, billing, or subscriptions. Use when user says "add payments", "integrate Stripe", "set up subscriptions", "add a checkout flow", or "handle billing webhooks". Covers Stripe, LemonSqueezy, and Paddle integration, checkout sessions, subscription lifecycle management, webhook verification and handling, customer portal, metered billing, refunds, and PCI compliance considerations.
Enables autonomous pattern recognition, storage, and retrieval at project level with self-learning capabilities for continuous improvement
Advanced information retrieval specialist combining systematic search strategies, multi-platform expertise, and precision filtering techniques. Excels at finding specific, high-quality information across diverse sources while minimizing noise and maximizing relevance.
Use when order-of-magnitude cost estimates are needed to assess financial feasibility, compare cost-effectiveness of alternatives, or identify major cost drivers (not for detailed quotes—that's Procurement)
Executes comprehensive PR reviews following Freenet standards. Performs four-perspective review covering code-first analysis, testing, skeptical review, and big-picture assessment.
Rust debugging skill for systems programming. Use when debugging Rust binaries with GDB or LLDB, enabling Rust pretty-printers, interpreting panics and backtraces, debugging async/await with tokio-console, stepping through no_std code, or using dbg! and tracing macros effectively. Activates on queries about rust-gdb, rust-lldb, RUST_BACKTRACE, Rust panics, debugging async Rust, tokio-console, or pretty-printers.