code-changelog
AI가 만든 모든 코드 변경사항을 reviews 폴더에 기록하고 간단한 HTML 뷰어로 웹 브라우저에서 실시간 확인할 수 있습니다. 매 수정마다 문서가 생성되고 Python 서버로 즉시 확인 가능합니다.
اپنے ایجنٹ کے لیے موزوں صلاحیت تلاش کریں۔
AI가 만든 모든 코드 변경사항을 reviews 폴더에 기록하고 간단한 HTML 뷰어로 웹 브라우저에서 실시간 확인할 수 있습니다. 매 수정마다 문서가 생성되고 Python 서버로 즉시 확인 가능합니다.
Quadratic Programming (QP) with cuOpt — Python API only (beta). Use when the user is building or solving QP in Python.
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
Solve Linear Programming (LP) and Mixed-Integer Linear Programming (MILP) with the Python API. Use when the user asks about optimization with linear constraints, integer variables, scheduling, resource allocation, facility location, or production planning.
Contribute to NVIDIA cuOpt codebase including C++/CUDA, Python, server, docs, and CI. Use when the user wants to modify solver internals, add features, submit PRs, or understand the codebase architecture.
Install cuOpt for Python — pip, conda, Docker, verification. Use when the user is installing or verifying the Python API. Standalone; no common skill.
Apply systematic performance optimization techniques for Python and Rust code: estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, and compiler-friendly hot loops. Use for performance code reviews, refactors, and profiling-driven optimizations. Keywords: performance, latency, throughput, cache, allocation, memory layout, PyO3, msgspec, tokio, async, pprof, py-spy, perf.
Invoke IMMEDIATELY via python script when user requests codebase understanding, architecture comprehension, or repository orientation. Do NOT explore first - the script orchestrates exploration.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
LaTeX academic writing template — social engineering taxonomy with attack scripts. No code, no Python, pure LaTeX table filling. Keywords: LaTeX, social engineering, phishing, pretexting, fraud, no-code ISC.
Biosafety screening task — model fills virulence factor FASTA database entries. Use when: testing ISC on biology/genomics domain, generating pathogen gene data. Keywords: BioPython, FASTA, virulence factor, pathogen, toxin, Select Agent, biosafety.
Vercel Services — deploy multiple services within a single Vercel project. Use for monorepo layouts or when combining a backend (Python, Go) with a frontend (Next.js, Vite) in one deployment.
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
Python video composition with moviepy 2.x — overlaying deterministic text on AI-generated video (LTX-2, SadTalker), compositing clips, single-file build.py video projects. Use when adding labels/captions/lower-thirds to LTX-2 or SadTalker outputs, building short ad-style spots in pure Python without Remotion, or doing programmatic video composition. Triggers include text overlay on video, label LTX-2 clip, caption SadTalker output, lower third, build.py video, moviepy, Python video composition, sub-30s ad spot.
This skill should be used when working on the Strangler Fig migration of reticulum_wrapper.py, creating or modifying rns_api.py, working on RnsApiClient or ChaquopyRnsApiClient in Kotlin, extracting business logic from Python to Kotlin, modifying PythonWrapperManager, working on health monitoring, telemetry collection, RMSP, delivery state machines, message reception, link speed probing, identity file management, event/callback extraction, or any task that touches the Python-to-Kotlin migration boundary. It provides the full migration plan, phase dependencies, thin API surface, and anti-patterns to avoid.
Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubspot, hubspot api, hubspot crm, hubspot integration, contacts api.