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Found 62 Skills
Web content fetching and URL retrieval via curl and WebFetch — replaces the Fetch MCP server (fetch_html, fetch_json, fetch_markdown, fetch_txt). Use this skill when a specific URL is provided and the user wants its content. Covers HTTP GET/POST, JSON API consumption with jq, HTML retrieval, markdown conversion, plain text extraction, authenticated requests, redirects, cookies, and timeouts. Trigger phrases: "fetch this URL", "get the page content", "download HTML", "call this API", "curl this endpoint", "grab the JSON", "fetch markdown from", "retrieve web content", "hit this endpoint", "scrape this page", "read this URL", "pull data from API", "make an HTTP request", "extract page content", "get article text". NOT for web searches without a URL — use tavily for that.
Use when optimizing application performance, reducing load times, improving database queries, meeting performance budgets, or diagnosing bottlenecks in web applications or APIs. Triggers: slow page loads, poor Web Vitals, database timeouts, large bundle size, user-reported sluggishness, scaling preparation.
Diagnoses and resolves Amazon EFS issues including mount failures, NFS timeouts, permission errors, throughput problems, and burst credit exhaustion. Use when the user has an EFS file system that is not mounting, returning errors, performing slowly, or showing access denied.
Implement a permanent cache-first strategy: check cache before hitting the DB, write to cache on first read, invalidate only when data changes. No TTL timeouts. Modeled on Play Framework's cache model. Use when asked to "add caching", "implement cache strategy", "cache DB results", or "reduce DB load".
Use when you need to apply Java exception handling best practices — including using specific exception types, managing resources with try-with-resources, securing exception messages, preserving error context via exception chaining, validating inputs early with fail-fast principles, handling thread interruption correctly, documenting exceptions with @throws, enforcing logging policy, translating exceptions at API boundaries, managing retries and idempotency, enforcing timeouts, attaching suppressed exceptions, and propagating failures in async/reactive code. This should trigger for requests such as Exception handling; Use try-with-resources in Java code; Create exception chaining in Java code; Apply fail-fast validation in Java code. Part of cursor-rules-java project
Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive allocation.
Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.
Use when Playwright scripts fail, tests are flaky, selectors stop working, or timeouts occur - provides systematic debugging approach for browser automation issues
Playbook for selecting Solana RPC providers and building resilient client access (fallbacks, timeouts, rate limits, caching, cost control). Use when designing infra or debugging RPC issues.
Debug distributed training failures (NeMo, Megatron, PyTorch) from worker stderr logs and optional AIStore daemon logs. Finds root cause across NCCL timeouts, data loading errors, and storage failures.
Systematically diagnoses and resolves common GKE issues including pod failures, networking problems, database connection errors, and Pub/Sub issues. Use when pods are stuck in Pending, CrashLoopBackOff, ImagePullBackOff, experiencing DNS failures, Cloud SQL connection timeouts, or Pub/Sub message processing problems. Provides systematic debugging workflows and solution patterns for Spring Boot applications.
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.