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Found 3,154 Skills
Get code context from repositories with examples and documentation. Use when you need code snippets, implementation examples, API usage patterns, or technical documentation for programming concepts, frameworks, or libraries.
This skill should be used when the user asks about "Ascend NPU", "昇腾", "Huawei NPU", "triton-ascend", "Ascend kernel development", "NPU算子开发", "Atlas", "CANN", or mentions Ascend hardware, AI Core, Cube/Vector/Scalar units. Provides expert guidance on Ascend NPU hardware architecture, triton-ascend kernel development, and GPU to NPU migration. Always use this skill for Ascend-related questions to avoid confusion with GPU documentation and concepts.
OpenClaw configuration modification assistant. Before modifying any OpenClaw configuration, you must first consult the official documentation to ensure correct formatting and avoid system crashes or functional anomalies. Mandatory process to follow: check schema → consult documentation → confirm → modify.
Convert draw.io diagram files (.drawio, .dio, .xml) to high-resolution PNG images. Use when users ask to "convert drawio to png", "export drawio diagrams", "generate png from drawio", "drawio导出png", "转换drawio图片", "生成高清drawio图片", or need to convert draw.io files to image format for documentation, presentations, or publishing.
Write and audit Python code comments using antirez's 9-type taxonomy. Two modes - write (add/improve comments in code) and audit (classify and assess existing comments with structured report). Use when users request comment improvements, docstring additions, comment quality reviews, or documentation audits. Applies systematic comment classification with Python-specific mapping (docstrings, inline comments, type hints).
Guides the agent through authoring and validating agent skills. Use when creating new skill directories, tightening skill metadata, extracting supporting references, or preparing skillgrade evals. Do not use for general app documentation, generic README editing, or non-agentic library code.
Firecrawl produces cleaner markdown than WebFetch, handles JavaScript-heavy pages, and avoids content truncation. This skill should be used when fetching URLs, scraping web pages, converting URLs to markdown, extracting web content, searching the web, crawling sites, mapping URLs, LLM-powered extraction, autonomous data gathering with the Agent API, or fetching AI-generated documentation for GitHub repos via DeepWiki. Provides complete coverage of Firecrawl v2.8.0 API endpoints including parallel agents, spark-1-fast model, and sitemap-only crawling.
Comprehensive software development planning and implementation skill. Triggers when: Creating new Python software with CLI/GUI/Web interfaces, planning software architecture and modules, designing scientific or engineering applications, setting up bilingual documentation and PyPI publishing, or needing academic research-based feature design. Capabilities: Pre-development planning and research, multi-interface design (CLI + PySide6 GUI + Flask Web), scientific visualization with pyqtgraph, academic literature-based feature design, sample data and test documentation generation, bilingual README with structured sections, GPLv3 licensing and PyPI publishing setup.
Guide the design and implementation of automated pre-trade compliance systems that validate orders before execution. Use when building a compliance rule engine for an RIA or broker-dealer, configuring hard blocks and soft blocks, maintaining restricted and watch lists including MNPI-driven restrictions, setting concentration limits at security/sector/issuer level, implementing position limits or short selling controls, enforcing wash sale detection or free-riding prevention or pattern day trader identification, applying client-specific ESG screens or legal constraints, designing compliance override workflows with authorization and documentation, backtesting compliance rules, or evaluating compliance check latency impact on execution quality.
This skill should be used when the user asks to 'check my wallet balance', 'show my token holdings', 'how much OKB do I have', 'what tokens do I have', 'check my portfolio value', 'view my assets', 'how much is my portfolio worth', 'what\'s in my wallet', or mentions checking wallet balance, total assets, token holdings, portfolio value, remaining funds, DeFi positions, or multi-chain balance lookup. Supports XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon, and 20+ other chains. Do NOT use for general programming questions about balance variables or API documentation. Do NOT use when the user is asking how to build or integrate a balance feature into code.
CuTe Python DSL API reference and implementation patterns for NVIDIA GPU kernel programming. Provides execution model, core API table, key constraints, common patterns, and documentation index. Use when: (1) writing or modifying CuTe DSL kernel code, (2) looking up CuTe DSL API syntax, (3) implementing attention/GEMM/MLA patterns in CuTe DSL, (4) understanding CuTe DSL execution model and compilation pipeline, (5) checking what CuTe DSL can and cannot do.
Analyzes git commits and changes within a timeframe or commit range, providing structured summaries for code review, retrospectives, work logs, or session documentation.