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Found 2,800 Skills
Diagnose, compare, and optimize Apache Spark applications and SQL queries using Spark History Server data. Use this skill whenever the user wants to understand why a Spark app is slow, compare two benchmark runs or TPC-DS results, find performance bottlenecks (skew, GC pressure, shuffle spill, straggler tasks), get tuning recommendations, or optimize Spark/Gluten configurations. Also trigger when the user mentions 'diagnose', 'compare runs', 'why is this query slow', 'tune my Spark job', 'benchmark comparison', 'performance regression', or asks about executor skew, shuffle overhead, AQE effectiveness, or Gluten offloading issues.
Generate creative prompts and thought experiments from wiki content. Use when the user wants inspiration, says "spark", "what if", "give me ideas", "what should I explore next", or wants creative prompts from their wiki, second brain, or knowledge base.
Queries Certificate Transparency logs via crt.sh and pycrtsh to detect phishing domains, unauthorized certificate issuance, and shadow IT. Monitors newly issued certificates for typosquatting and brand impersonation using Levenshtein distance. Use for proactive phishing domain detection and certificate monitoring.
Build and modify EdgeSpark apps. Use when a project has edgespark.toml, the user mentions EdgeSpark, or work involves the edgespark CLI, server SDK types, storage/auth/database workflows, deployment, or @edgespark/web.
Use this skill when the user's intent is to execute a system or plugin function. Applicable scenarios include: 1) The user sends a slash command starting with / (e.g. /cookiecloud, /sites, /subscribes, etc.); 2) The user describes an action in natural language that can be fulfilled by a system or plugin command (e.g. "sync sites", "show subscriptions", "refresh subscriptions", "check downloads", etc.). This skill helps you identify the user's intent, find the matching command, extract necessary parameters, and execute the corresponding command.
Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation
Query the JASPAR database for Transcription Factor (TF) binding profiles. Use when retrieving Position Frequency Matrices (PFMs) or Position Weight Matrices (PWMs) for specific TFs, resolving gene symbols to JASPAR Matrix IDs, or getting TF metadata. Supports multiple output formats (MEME, TRANSFAC, PFM, JASPAR, YAML).
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work.
Execute the /integrate command for LLM agents. Triggers when the user types `/integrate`, `/integrate --product`, or asks to "integrate a Juspay product", "set up payments", "add payment SDK", or any variation of setting up a Juspay product into their app or codebase. This skill drives a fully guided, doc-driven wizard: it reads product summaries locally, probes candidates via MCP, then fetches actual documentation pages and generates complete integration code.
End-to-end ELT pipeline using SSIS, SQL Server, and PySpark for enterprise data warehousing and analytics
Use systematic spacing with 25% minimum jumps, start with excess whitespace
Examine file system slack space, MFT entries, USN journal, and alternate data streams to recover hidden data and reconstruct file activity on NTFS volumes.