linear — for Claude Code linear, lobe-chat, community, for Claude Code, ide skills, Fixes LOBE-xxx, mcp__linear-server__get_issue, mcp__linear-server__list_issues, parentId, mcp__linear-server__update_issue

v1.0.0

Sobre este Skill

Cenario recomendado: Ideal for AI agents that need linear issue management. Resumo localizado: 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. This AI agent skill supports Claude Code, Cursor, and Windsurf

Recursos

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:
Create the PR with magic keywords (Fixes LOBE-xxx)

# Core Topics

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: 8/11

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

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
48
Canonical Locale
en
Detected Body Locale
en

Cenario recomendado: Ideal for AI agents that need linear issue management. Resumo localizado: 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. This AI agent skill supports Claude Code, Cursor, and Windsurf

Por que usar essa habilidade

Recomendacao: linear helps agents linear issue management. 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

Melhor para

Cenario recomendado: Ideal for AI agents that need linear issue management.

Casos de Uso Práticos for linear

Caso de uso: Applying Linear Issue Management
Caso de uso: Applying Before using Linear workflows, search for linear MCP tools. If not found, treat as not installed
Caso de uso: Applying ⚠️ CRITICAL: PR Creation with Linear Issues

! Segurança e Limitações

  • Limitacao: When creating a PR that references Linear issues (LOBE-xxx), you MUST:
  • Limitacao: Do NOT consider the task complete until Linear comments are added
  • Limitacao: When creating issues with mcp linear-server create issue, MUST add the claude code label .

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - 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.

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?

Cenario recomendado: Ideal for AI agents that need linear issue management. Resumo localizado: 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. This AI agent skill supports Claude Code, Cursor, and Windsurf

How do I install linear?

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

What are the use cases for linear?

Key use cases include: Caso de uso: Applying Linear Issue Management, Caso de uso: Applying Before using Linear workflows, search for linear MCP tools. If not found, treat as not installed, Caso de uso: Applying ⚠️ CRITICAL: PR Creation with Linear Issues.

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.

Are there any limitations for linear?

Limitacao: When creating a PR that references Linear issues (LOBE-xxx), you MUST:. Limitacao: Do NOT consider the task complete until Linear comments are added. Limitacao: When creating issues with mcp linear-server create issue, MUST add the claude code label ..

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. 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

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