Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: permission

영문 디렉토리

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
신뢰
카테고리: agent-skills감사

Soul-driven AI agent with permission-hardened tools, token budgets, and multi-channel access. Runs 24/7 from CLI or Telegram.

2.6K
Stars
73/100
신뢰
카테고리: agent-frameworks감사

Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.

51K
Stars
78/100
신뢰
카테고리: research감사

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

51K
Stars
83/100
신뢰
카테고리: research감사

Use when user wants to create a GitHub issue for the current repository. Must read and follow the repository's issue template format.

51K
Stars
76/100
신뢰
카테고리: coding-agents감사

Create or update GitHub pull requests using the repository-required workflow and template compliance. Use when asked to create/open/update a PR so the assistant reads `.github/pull_request_template.md`, fills every template section, preserves markdown structure exactly, and marks missing data as N/A or None instead of skipping sections.

51K
Stars
69/100
신뢰
카테고리: security감사

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

34K
Stars
70/100
신뢰
카테고리: research감사

Universal API for request permission and get its statuses.

5.8K
Stars
71/100
신뢰
카테고리: productivity-automation감사

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

556
Stars
73/100
신뢰
카테고리: media-automation감사

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

1.9K
Stars
71/100
신뢰
카테고리: ml-automation감사

Permission Manager is a project that brings sanity to Kubernetes RBAC and Users management, Web UI FTW

1.4K
Stars
71/100
신뢰
카테고리: devops감사