Total 32,416 skills
Showing 12 of 32416 skills
X2C Distribution and Wallet API — publish video to X2C platform, manage assets (balance, claim X2C, swap to USDC, withdraw, transactions).
PluginEval quality methodology — dimensions, rubrics, statistical methods, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when calibrating scoring thresholds for your marketplace, or when explaining quality badges to external partners like Neon.
Query GMGN on-chain tracking data — follow-wallet trade records, KOL trades, and Smart Money trades. Supports sol / bsc / base.
Use when creating, editing, or reviewing WordPress Playground blueprint JSON files. Triggers on mentions of blueprints, playground configuration, or requests to set up a WordPress demo environment.
Vite plugin that reimplements the Next.js API surface for deploying anywhere, including Cloudflare Workers
Query NVIDIA PTX ISA 9.1, CUDA Runtime API 13.1, Driver API 13.1, Programming Guide v13.1, Best Practices Guide, Nsight Compute, Nsight Systems local documentation. Debug and optimize GPU kernels with nsys/ncu/compute-sanitizer workflows. Use when writing, debugging, or optimizing CUDA code, GPU kernels, PTX instructions, inline PTX, TensorCore operations (WMMA, WGMMA, TMA, tcgen05), or when the user mentions CUDA API functions, error codes, device properties, memory management, profiling, GPU performance, compute capabilities, CUDA Graphs, Cooperative Groups, Unified Memory, dynamic parallelism, or CUDA programming model concepts.
Develop, debug, and optimize SGLang LLM serving engine. Use when the user mentions SGLang, sglang, srt, sgl-kernel, LLM serving, model inference, KV cache, attention backend, FlashInfer, MLA, MoE routing, speculative decoding, disaggregated serving, TP/PP/EP, radix cache, continuous batching, chunked prefill, CUDA graph, model loading, quantization FP8/GPTQ/AWQ, JIT kernel, triton kernel SGLang, or asks about serving LLMs with SGLang.
Write, debug, and optimize CUTLASS and CuTeDSL GPU kernels using local source code, examples, and header references. Use when the user mentions CUTLASS, CuTe, CuTeDSL, cute::Layout, cute::Tensor, TiledMMA, TiledCopy, CollectiveMainloop, CollectiveEpilogue, GEMM kernel, grouped GEMM, sparse GEMM, flash attention CUTLASS, blackwell GEMM, hopper GEMM, FP8 GEMM, blockwise scaling, MoE GEMM, StreamK, warp specialization CUTLASS, TMA CUTLASS, or asks about writing high-performance CUDA kernels with CUTLASS/CuTe templates.
Write, debug, and optimize Triton and Gluon GPU kernels using local source code, tutorials, and kernel references. Use when the user mentions Triton, Gluon, tl.load, tl.store, tl.dot, triton.jit, gluon.jit, wgmma, tcgen05, TMA, tensor descriptor, persistent kernel, warp specialization, fused attention, matmul kernel, kernel fusion, tl.program_id, triton autotune, MXFP, FP8, FP4, block-scaled matmul, SwiGLU, top-k, or asks about writing GPU kernels in Python.
Fetches 36Kr 24-hour hot list articles via GET request. The data is organized by date with URL pattern https://openclaw.36krcdn.com/media/hotlist/{date}/24h_hot_list.json and updated hourly. This tool applies when the user asks about 36Kr hot articles, hot list, 36Kr Hot List, popular articles, Today's Hot List, top articles, hot news, Tech Hot List, Startup Hot List, Today's Hottest, check hot list, view hot list, trending articles, hot articles, 36Kr trending, top articles, popular articles, OpenClaw hotlist, or wants to query/display the 24-hour hot list from 36Kr.
Comprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis.
Generates EventCatalog documentation files (services, events, commands, queries, domains, flows, channels, containers) with correct frontmatter, folder structure, and best practices. Use when user asks to "document a service", "create EventCatalog files", "add an event to the catalog", "document my architecture", "generate catalog documentation", "create documentation for my microservice", or "document a database".