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Ship runtime usage guide for code execution sandboxes. Covers Python execution via IPython kernel with persistent variables, Shell command execution, filesystem operations with security constraints, and common development workflows. Use this when working inside a Ship container to understand available tools, pre-installed libraries, path security rules, and best practices for file I/O, data processing, and project scaffolding.
Use when adding a new diffusion model or Diffusers pipeline to SGLang.
Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.
Expert Python developer specializing in modern Python 3.11+ development with deep expertise in type safety, async programming, data science, and web frameworks. Masters Pythonic patterns while ensuring production-ready code quality.
Specific package usage in this project. ie python requirements, npm/node packages, Laravel Composer etc.
Central authority for Claude Code status line configuration. Covers custom status line creation, /statusline command, status line settings (statusLine in settings.json), JSON input structure (model, workspace, cost, session info), status line scripts (Bash, Python, Node.js), terminal color codes, git-aware status lines, helper functions, and status line troubleshooting. Supports creating custom status lines, configuring status line behavior, and displaying contextual session information. Delegates 100% to docs-management skill for official documentation.
Add new operator definitions to PyPTO across all layers (C++, Python IR, Python DSL, tests, codegen, docs). Covers tile ops, tensor ops, tensor-to-tile conversion, and codegen registration. Use when the user asks to add a new op, define a new operator, implement a new tile/tensor operation, or extend the operator system.
Generates a complete fullstack application template with Python FastAPI backend and React Vite frontend. Includes OpenAI ChatGPT integration, CORS configuration, comprehensive error handling, and a modern Tailwind CSS + shadcn/ui React UI. Use this skill when the user wants to bootstrap a new fullstack web application project with both API backend and web frontend components ready to go.
Downloads files, images, or media from URLs using curl, wget, or python scripts. Can handle bulk downloads and save them to a specified directory.
Executes code snippets by saving them to a temporary file and running them via bash commands (e.g., node, python, go run) to test logic or compute results.
Write self-installing self-contained Python scripts using uv and PEP 723
将 GPU/CUDA Triton 算子迁移为 Triton-Ascend，或将 Python/PyTorch 算子改写为可在 Ascend NPU 上运行的 Triton-Ascend 实现，并在发现明确优化空间时直接输出优化后的代码、最小验证脚本和排障说明。用户只要提到 昇腾、Ascend、NPU、triton-ascend、Triton 算子迁移、PyTorch 算子改写、coreDim、UB overflow、1D grid、物理核绑定、block_ptr、stride、访存对齐、mask 性能、dtype 退化、算子优化，或者直接问“这个 skill 怎么用”“怎么在命令行里跑”“怎么在容器里执行迁移/验证”，就应优先使用本 skill，即使用户没有明确说“写 skill”或“做迁移”。
Make sure to ALWAYS use this skill when working with python code! Help designing, structuring, and maintaining Python projects, including virtualenvs, packaging, SQLite (sql3) usage, documentation of bug fixes, and clear commenting practices.
Access OpenAI developer documentation via Context7 MCP. Provides up-to-date docs for Codex CLI, OpenAI API, Python/Node SDKs, Agents SDK, and MCP configuration. Use when: (1) configuring Codex CLI or MCP servers, (2) writing OpenAI API integrations, (3) building agents with OpenAI SDKs, (4) troubleshooting Codex execution. Triggers: 'openai docs', 'codex documentation', 'openai api reference', 'codex mcp', 'agents sdk'.
Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns for Cosmos. Triggers on phrases like "Cosmos DB", "NoSQL database", "document store", "add persistence", "database service layer", or "Python Cosmos SDK".
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
Architect and refine OpenCode skills to extend agent capabilities. Handles directory scaffolding, SKILL.md authoring, frontmatter optimization, and resource organization (scripts/references/assets). Use proactively for creating new skills, updating existing workflows, or fixing skill discovery issues. Examples: - user: "Create a new skill for database management" → scaffold directory and initial SKILL.md - user: "My skill isn't triggering correctly" → analyze and refine frontmatter description - user: "Add a python script to the image-processing skill" → structure scripts/ directory - user: "How should I structure a skill for API docs?" → design references/ layout
Auditing software supply chain security across CI/CD pipelines, container images, and language ecosystems. Detects mutable dependency references, insecure CI patterns, credential exposure risks, and missing SBOM/SLSA controls. Use when performing a supply chain audit, checking action pinning, auditing dependencies, scanning for CI security issues, reviewing container security, or assessing dependency security. Covers GitHub Actions, containers, Python, Node, Go, Rust, .NET, and more.
