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profiling-nodejs-python
Comprehensive guide to CPU and memory profiling in Node.js and Python for identifying bottlenecks and optimizing performance
Résultats pour « Python »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: Bases de données
Explorer
GitHub
railway-deploy
This skill should be used when the user asks to "deploy to Railway", "deploy backend", "deploy Python app", "deploy Node.js server", "railway deployment", or mentions Railway hosting workflows.
GitHub
csv-data-summarizer
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
GitHub
using-tmux-for-interactive-commands
Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached se...
GitHub
omnidev
Omniscient hyper-elite software engineering command center. Triggers: write code, debug, fix bug, build app, create API, design system, architect, deploy, secure, optimize, refactor, review code, test, CI/CD, D...
GitHub
agent-builder-pydantic-ai
Build conversational AI agents using Pydantic AI + OpenRouter. Use when creating type-safe Python agents with tool calling, validation, and streaming.
GitHub
python-ml-workflow
Expert guidelines for Python ML and LLM workflows. Covers code quality, experiment tracking, and data handling. Use when working on AI/ML components or data pipelines.
GitHub
fastapi-development
Enforces best practices for FastAPI development, ensuring scalable, high-performance, and maintainable APIs. Use when working on server-side Python code involving FastAPI.
GitHub
code-reviewer
Comprehensive multi-AI code review system for Python, JavaScript, and TypeScript. Use when reviewing code for quality, security, performance, or best practices. Includes automated analysis scripts, language-spe...
GitHub
grafana-report-to-dashboard
Converts Python report scripts (Elasticsearch queries + email output) into Grafana Jsonnet dashboards with dual-datasource support (ClickHouse + Elasticsearch ES7/ES8). Use when migrating scheduled email report...
GitHub
data-analyst
Python 생태계(Jupyter, Pandas, Scikit-learn)를 활용하여 데이터에서 심층적인 인사이트를 도출하는 전문 분석 워크플로우입니다.
GitHub
backend-developer
Expert Senior Backend Engineer (Polyglot). Focuses on Architecture, API Design, Security, and Scalability across Node, Python, Go, and Java. Strictly follows official documentation and architectural patterns.
GitHub
code-review
Systematic code review and evaluation tool for Python/FastAPI projects. Use when reviewing PRs, evaluating code quality, checking architecture compliance, or providing feedback on implementations. Triggers on "...
GitHub
clean-architecture
Guide for implementing Clean Architecture in Python/FastAPI projects. Use when creating new modules, refactoring existing code to Clean Architecture, designing layer structures, or implementing Port/Adapter pat...
GitHub
dependency-checker
Audits Python dependencies for security vulnerabilities and best practices. Use before PR or after adding dependencies.
GitHub
use-algokit-utils
AlgoKit Utils library for interacting with the Algorand blockchain from TypeScript or Python applications. Use when connecting to Algorand networks (LocalNet, TestNet, MainNet), sending payments or transferring...
GitHub
build-smart-contracts
Build Algorand smart contracts using Algorand TypeScript (PuyaTs) or Algorand Python (PuyaPy). Use when creating new smart contracts from scratch, adding features or methods to existing contracts, understanding...
GitHub
ms-graph-search-sdk
Search OneDrive, Teams, and Outlook using Microsoft Graph API with Python. Use when asked to find files, emails, messages, or documents in Microsoft 365 services. This is the preferred method for quick searches...
GitHub
bosun-python
Python best practices and patterns. Use when writing, reviewing, or debugging Python code. Provides PEP 8 guidance, type hints, testing with pytest, and async patterns.
GitHub
kinemotion-development
Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.
GitHub
kinemotion-development
Apply kinemotion development standards. Use when writing Python code, creating tests, modifying the kinemotion codebase, or reviewing code quality.
GitHub
codebase-analysis
Invoke IMMEDIATELY via python script when user requests codebase analysis, architecture review, security assessment, or quality evaluation. Do NOT explore first - the script orchestrates exploration.
GitHub
neo4j-patterns
Neo4j driver best practices for Python. Use when working with Neo4j connections, Cypher queries, transactions, or GraphRAG implementations.
GitHub
code-slob-refactor
Refactors "code slob" (technical debt) into clean, idiomatic Python code, using rigorous verification to ensure zero regressions. Use when the user asks to "refactor", "clean up", or "optimize" a file.
Catégories populaires
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.