컬렉션
컬렉션 cli

CLI·터미널 AI 에이전트 도구 12선 | AI Agent Skills

Claude Code, Cursor, Windsurf용 cli terminal AI Agent Skills 모음입니다. 개발자 워크플로 자동화에 초점을 둡니다.

이 컬렉션은 터미널 환경에 자연스럽게 맞는 AI 에이전트 도구에 집중합니다. 반복 작업 자동화, 에이전트 파이프라인 실행, 데이터/스키마 처리, 일상적인 코딩 속도 향상 같은 실무 워크플로가 핵심입니다. 일부 도구는 MCP나 외부 서비스와 연동할 수 있지만, 이 페이지의 중심 가치는 명령줄 생산성과 안정적인 실행입니다. 터미널 중심으로 개발·배포하는 팀에 특히 유용한 선택입니다.

Primary Install Bridge

Pick One Skill, Then Take the Install Path

This collection should not trap users in comparison mode or pretend to install the whole collection. Its job is to narrow the shortlist to one skill, then send the next click into installation, validation, and rollout. Installation happens on the skill path.

Step 1 / Primary Path

Step 1: Open the installation docs

Move from CLI and terminal workflow discovery into the install flow, validation checklist, and first command path before comparing anything else.

Open the Install Path
Best-Fit Next Paths

The Next Click Should Keep Narrowing, Not Reset Back To A Generic Directory

Once the install path is clear, move into the solution, CLI, or editorial surface that best matches this collection. That keeps platform, framework, and operations demand narrowing into a more verifiable high-intent journey.

Editorial Proof & Trust Signals

Why This Collection Deserves Priority Attention

Reviewed on 2026-04-17 against CLI-native workflow fit, installation clarity, operator handoff, and terminal-first execution value. This page is now positioned as an install-first terminal workflow entry point instead of a generic AI tools list.

We prioritize this page because terminal-intent users usually need a shortlist they can install and validate without leaving the shell for another round of vague tooling research.

Trust Signals

  • - Entries are chosen for terminal-native execution value such as command-line automation, shell workflows, and operator-friendly validation steps.
  • - Selection favors tools with public documentation and clear setup paths that teams can verify before standardizing a terminal stack.
  • - The page is curated for repeatable terminal operations, not for broad AI tooling adjacency or repository popularity alone.

Grouping Logic

  • - Lead with tools that can enter a terminal-first workflow without pulling teams back into heavy GUI setup ambiguity.
  • - Keep the shortlist compact enough for fast comparison while still covering command execution, automation, and operator handoff.
  • - Use installation as the bridge from terminal discovery into validated day-to-day execution.

Maintenance & Review

Last Reviewed
2026-04-17
Cadence
Re-check when install flow, maintainer posture, or terminal workflow relevance changes upstream; otherwise review monthly.
Maintained By
Killer-Skills editorial review within the recovery-focused authority queue.
Verification
Validate installability, shell fit, operator clarity, and maintainer trust before retaining or adding an entry.
Execution Examples

How These Skills Work Together In Practice

Install one terminal-first companion before standardizing the shell workflow

Use this page when you want one CLI companion that can enter real terminal work immediately instead of turning evaluation into another tooling spiral.

  1. 1. Open the installation docs before opening more CLI-related repositories.
  2. 2. Choose one tool that best supports command execution, terminal automation, or operator handoff.
  3. 3. Install it and verify the CLI write path, sync behavior, and first operator checkpoint.
  4. 4. Only after the base path works, expand the setup across the wider shell workflow.

Keep the team inside the terminal

Treat the collection as an editorial filter when you need terminal-first tools that speed up delivery without forcing a context switch into another UI stack.

  1. 1. Check whether the tool has stable ownership and visible install guidance.
  2. 2. Review CLI behavior so operators know what will be written and synced.
  3. 3. Use one validated terminal path before scaling it to more repos or more teammates.
  4. 4. Document the chosen terminal baseline after the first clean rollout.
After Installation

Supporting Moves After The Install Path Is Clear

create-skill

Logo of n8n-io
n8n-io

The create-skill AI agent skill automates workflows and integrates APIs for Claude Code, enhancing developer productivity. It teaches the agent focused workflows, leveraging markdown and optional scripts.

181.1k
0
인공지능

create-pr

Logo of n8n-io
n8n-io

Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.

181.1k
0
인공지능

loom-transcript

Logo of n8n-io
n8n-io

Fetch and display the full transcript from a Loom video URL. Use when the user wants to get or read a Loom transcript.

181.1k
0
인공지능

reproduce-bug

Logo of n8n-io
n8n-io

Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.

181.1k
0
인공지능

linear-issue

Logo of n8n-io
n8n-io

Linear Issue Analysis AI 에이전트 스킬은 이미지와 첨부 파일을 자동으로 다운로드하기 위해 사용되며 Linear MCP와 GitHub CLI 등의 도구를 지원합니다

181.1k
0
인공지능

create-issue

Logo of n8n-io
n8n-io

이슈 추적 및 관리를 간소화하기 위한 GitHub 이슈 생성 AI 에이전트 스킬

181.1k
0
인공지능

n8n-conventions

Logo of n8n-io
n8n-io

Quick reference for n8n patterns. Full docs /AGENTS.md

181.1k
0
인공지능

content-design

Logo of n8n-io
n8n-io

콘텐츠 디자인 AI 에이전트 스킬은 콘텐츠 디자인의 자동화를 구현하고 n8n, low-code, no-code 개발을 지원합니다

181.1k
0
인공지능

spec-driven-development

Logo of n8n-io
n8n-io

El desarrollo basado en especificaciones permite una integración más eficiente de APIs y flujos de datos

181.1k
0
인공지능

formax-skill-capture

Logo of yusifeng
yusifeng

Use when we want to turn a just-finished Formax workflow (e.g. commands, overlays, tools, hooks, permissions, UI parity) into a reusable Codex Skill under .codex/skills, including scaffolding, guardrails, and the minimum test checklist.

5
0
인공지능

formax-repomix-handoff-workflow

Logo of yusifeng
yusifeng

Use when preparing a Formax code handoff: selecting files, generating repomix bundles, and writing a high-quality prompt for WebGPT or another coding agent with clear constraints and validation scope.

0
0
개발자

formax-script-output-placement-workflow

Logo of yusifeng
yusifeng

Use when adding or modifying generator scripts that write files; keeps generated artifacts out of docs/ and aligns script defaults with ownership paths plus CI gate updates.

7
0
인공지능

next

Logo of mag123c
mag123c

Session start - check progress, suggest next task

55
0
개발자

wrap

Logo of mag123c
mag123c

Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code)

60
0
개발자

fix_bug

Logo of pgplex
pgplex

Fix a bug from a GitHub issue using TDD. Analyzes the issue, creates a reproducing test case, implements the fix, verifies it, runs refactor-pass, and creates a PR.

808
0
개발자

elixir-cyclic-deps

Logo of matteing
matteing

🔮 A smol coding agent in Elixir

33
0
인공지능

openspec-explore

Logo of tatargabor
tatargabor

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

9
0
개발자

wt

Logo of tatargabor
tatargabor

Manage git worktrees for parallel AI agent development. Use this when asked to create, list, open, close, or merge worktrees, or when working with wt-* commands.

0
0
개발자

i18n

Logo of aicodingstack
aicodingstack

Internationalization management tool for syncing and translating language files

28
0
인공지능
Related Authority Collections

If This Page Is Close, Keep Narrowing With Adjacent Authority Pages

Do not reset back to the generic directory. Move sideways through these adjacent high-intent collections to narrow the shortlist toward the install path that best matches your team.

Installation Questions

Answer These Three Questions Before You Install

This collection should not keep users browsing forever. These three questions explain how to shortlist, install, and validate the next step.

이 컬렉션들은 어떤 워크플로를 위해 만들어졌나요?

워크플로 자동화, 프로세스 자동화, 문서 작업, 데이터 워크플로 및 재사용 가능한 스킬 스택을 중심으로 구성되어 있습니다.

컬렉션과 메인 스킬 디렉터리의 차이점은?

스킬 디렉터리는 직접 검색과 필터링에 적합하고, 컬렉션은 완전한 워크플로를 위한 보완적 스킬 묶음을 찾는 데 적합합니다.

이 컬렉션들을 Claude Code나 Cursor에 설치할 수 있나요?

네. 이 컬렉션의 스킬들은 일반적으로 Claude Code, Cursor, Windsurf 및 기타 지원 환경에서 통합 설치 흐름으로 작동합니다.

Additional Recovery Paths

Use These Additional Paths If You Need One More Step To Narrow The Decision

These are the supporting surfaces for this collection after the install direction is clear and the primary next paths have already narrowed the decision.