gget은(는) 무엇을 하나요?
gget CLI 및 Python 워크플로우로 빠른 유전체 데이터베이스 쿼리, 서열 검색, BLAST 스타일 검색, 농축 검사, 재현 가능한 생물정보학 증거 로그를 제공합니다.
gget CLI 및 Python 워크플로우로 빠른 유전체 데이터베이스 쿼리, 서열 검색, BLAST 스타일 검색, 농축 검사, 재현 가능한 생물정보학 증거 로그를 제공합니다.
이 스킬은 유전체학 및 생물정보학 워크플로우를 간소화하기 위해 설계된 **gget** 명령줄 인터페이스(CLI) 및 Python 라이브러리를 통합합니다. 개발자와 연구자가 인기 있는 공용 데이터베이스(예: Ensembl, NCBI)에서 유전자 서열, 주석, 상동성을 빠르게 조회할 수 있게 해줍니다. 이 스킬은 BLAST 유사 검색을 지원하며, 유전자 온톨로지(GO) 농축 분석을 수행하고, 모든 쿼리와 결과를 재현 가능한 형식으로 기록합니다. Claude Code, Cursor, Codex와 같은 AI 에이전트 프레임워크와 함께 사용하도록 설계되어, 생물정보학 파이프라인을 스크립팅하거나 명령줄에서 직접 유전체 데이터를 검색하는 데 이상적입니다. gget 도구를 활용하므로 사용자는 사전 설치 없이 신속하게 유전체 데이터를 검색할 수 있으며, 모든 작업은 감사 및 재현성을 위해 로컬에 로그됩니다.
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/ggetInstalled? Explore more 생산성 & 협업 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
gget CLI 및 Python 워크플로우로 빠른 유전체 데이터베이스 쿼리, 서열 검색, BLAST 스타일 검색, 농축 검사, 재현 가능한 생물정보학 증거 로그를 제공합니다.
This repo contains 20 individual skills — each has its own dedicated page.
Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.
Example project-specific skill template based on a real production application.
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.
Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.