Total 43,892 skills
Showing 12 of 43892 skills
将简单Vector类型Triton算子从GPU迁移到昇腾NPU。当用户需要迁移Triton代码到NPU、提到GPU到NPU迁移、Triton迁移、昇腾适配时使用。注意：无法自动迁移存在编译问题的算子。
SQL analysis skill for Ascend PyTorch Profiler / msprof DB (e.g., ascend_pytorch_profiler*.db, msprof_*.db). Convert natural language questions (operator latency, communication, dispatch, scheduling, schema/table queries) into safe and executable SQL, and extract table structure details from official documents as needed.
Codacy integration. Manage Repositories, Organizations. Use when the user wants to interact with Codacy data.
Use this skill when working with the UI5 Linter (@ui5/linter) for static code analysis of SAPUI5/OpenUI5 applications and libraries. Covers setup, configuring linting rules, running the linter to detect deprecated APIs, global variable usage, CSP violations, and manifest issues. Supports autofix for deprecated API usage, global references, event handlers, and manifest properties. Includes CI/CD integration, pre-commit hooks, and UI5 2.x migration preparation.
This skill provides comprehensive guidance for adapting Wan-series video generation models (Wan2.1/Wan2.2) from NVIDIA CUDA to Huawei Ascend NPU. It should be used when performing NPU migration of DiT-based video diffusion models, including device layer adaptation, operator replacement, distributed parallelism refactoring, attention optimization, VAE parallelization, and model quantization. This skill covers 9 major adaptation domains derived from real-world Wan2.2 CUDA-to-Ascend porting experience.
Comprehensive security auditor for AI agent skills, prompts, and instructions. Checks for typosquatting, dangerous permissions, prompt injection, supply chain risks, and data exfiltration patterns — before you use any agent or skill.
Catlass Operator End-to-End Development Orchestrator. Based on ascend-kernel (csrc/ops), it connects catlass design, catlass-operator-code-gen and ascendc sub-skills to complete the closed loop from project initialization to documentation, precision, and performance. Keywords: Catlass, end-to-end, ascend-kernel, operator development, workflow orchestration.
Teaches the data provider pattern using renderless components and scoped slots. Use when you need to abstract data fetching or state management logic and expose it to child components via slots.
Guides DeFi protocol security review and rug-risk assessment from public chain data, verified source, and historical patterns—covering EVM and Solana-style deployments, liquidity and tokenomics, governance centralization, bridges, exploit pattern matching, and evidence-structured audit reports. Use when the user asks for a DeFi security audit, rug risk analysis, contract vulnerability triage, LP lock verification, governance or upgrade risk, or cross-chain bridge review from observable data only.
Mason integration. Manage data, records, and automate workflows. Use when the user wants to interact with Mason data.
Near-expiry conviction trading on Polymarket. Snipe markets about to resolve when the odds are heavily skewed. Filter by topic, cap your bets, and only trade strong splits close to deadline.
End-of-day structured summary and next-session prep. Use at the end of each working day or significant work block.