linear — community linear, lobe-chat, community, ide skills

v1.0.0
GitHub

이 스킬 정보

一个开源的，现代设计的LLMS/人工智能聊天框架。支持多人工智能供应商（OpenAI/Claude 3/Gemini/Ollama/Bedrock/Azure/Mistral/Conspirity），多模态（Vision/TTS）和插件系统。一键免费部署您的私人ChatGPT聊天应用程序。Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ),

find-xposed-magisk find-xposed-magisk
[27]
[10]
Updated: 2/27/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 1/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Review Score
1/11
Quality Score
38
Canonical Locale
en
Detected Body Locale
en

一个开源的，现代设计的LLMS/人工智能聊天框架。支持多人工智能供应商（OpenAI/Claude 3/Gemini/Ollama/Bedrock/Azure/Mistral/Conspirity），多模态（Vision/TTS）和插件系统。一键免费部署您的私人ChatGPT聊天应用程序。Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ),

이 스킬을 사용하는 이유

一个开源的，现代设计的LLMS/人工智能聊天框架。支持多人工智能供应商（OpenAI/Claude 3/Gemini/Ollama/Bedrock/Azure/Mistral/Conspirity），多模态（Vision/TTS）和插件系统。一键免费部署您的私人ChatGPT聊天应用程序。Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ),

최적의 용도

Suitable for operator workflows that need explicit guardrails before installation and execution.

↓ 실행 가능한 사용 사례 for linear

! 보안 및 제한 사항

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is linear?

一个开源的，现代设计的LLMS/人工智能聊天框架。支持多人工智能供应商（OpenAI/Claude 3/Gemini/Ollama/Bedrock/Azure/Mistral/Conspirity），多模态（Vision/TTS）和插件系统。一键免费部署您的私人ChatGPT聊天应用程序。Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ),

How do I install linear?

Run the command: npx killer-skills add find-xposed-magisk/lobe-chat/linear. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

Which IDEs are compatible with linear?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add find-xposed-magisk/lobe-chat/linear. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use linear immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

linear

Install linear, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Linear Issue Management

Before using Linear workflows, search for linear MCP tools. If not found, treat as not installed.

⚠️ CRITICAL: PR Creation with Linear Issues

When creating a PR that references Linear issues (LOBE-xxx), you MUST:

  1. Create the PR with magic keywords (Fixes LOBE-xxx)
  2. IMMEDIATELY after PR creation, add completion comments to ALL referenced Linear issues
  3. Do NOT consider the task complete until Linear comments are added

This is NON-NEGOTIABLE. Skipping Linear comments is a workflow violation.

Workflow

  1. Retrieve issue details before starting: mcp__linear-server__get_issue
  2. Check for sub-issues: Use mcp__linear-server__list_issues with parentId filter
  3. Update issue status when completing: mcp__linear-server__update_issue
  4. Add completion comment (REQUIRED): mcp__linear-server__create_comment

Creating Issues

When creating issues with mcp__linear-server__create_issue, MUST add the claude code label.

Completion Comment Format

Every completed issue MUST have a comment summarizing work done:

markdown
1## Changes Summary
2
3- **Feature**: Brief description of what was implemented
4- **Files Changed**: List key files modified
5- **PR**: #xxx or PR URL
6
7### Key Changes
8
9- Change 1
10- Change 2
11- ...

This is critical for:

  • Team visibility
  • Code review context
  • Future reference

PR Association (REQUIRED)

When creating PRs for Linear issues, include magic keywords in PR body:

  • Fixes LOBE-123
  • Closes LOBE-123
  • Resolves LOBE-123

Per-Issue Completion Rule

When working on multiple issues, update EACH issue IMMEDIATELY after completing it:

  1. Complete implementation
  2. Run bun run type-check
  3. Run related tests
  4. Create PR if needed
  5. Update status to "In Review" (NOT "Done")
  6. Add completion comment immediately
  7. Move to next issue

Note: Status → "In Review" when PR created. "Done" only after PR merged.

❌ Wrong: Complete all → Create PR → Forget Linear comments

✅ Correct: Complete → Create PR → Add Linear comments → Task done

관련 스킬

Looking for an alternative to linear or another community skill for your workflow? Explore these related open-source skills.

모두 보기

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

★ 333.8k
⑂ 0
인공지능

widget-generator

Logo of f
f

prompts.chat 피드 시스템을 위한 사용자 지정 가능한 위젯 플러그인을 생성합니다

★ 149.6k
⑂ 0
인공지능

flags

Logo of vercel
vercel

리액트 프레임워크

★ 138.4k
⑂ 0
브라우저

pr-review

Logo of pytorch
pytorch

파이썬에서 텐서와 동적 신경망 구현 및 강력한 GPU 가속 지원

★ 98.6k
⑂ 0
개발자