Linear

作者 openai49f948faa925無授權條款收錄於 2026年10月8日更新於 2026年10月8日

Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

精選僅含說明Productivity & Workflow
AI 產生的概覽

引導代理透過 Linear MCP 伺服器管理 Linear 中的問題、專案、週期與團隊工作流程。

功能
此技能提供一套逐步工作流程,用於透過 Linear MCP 伺服器讀取、建立與更新 Linear 中的問題、專案、標籤、留言、文件與週期。內容涵蓋 MCP 連線的設定、範圍確認、批次工具呼叫,以及最後的結果摘要與後續行動建議。它也列出實用工作流程,例如衝刺規劃、缺陷分類、文件稽核、工作量平衡與發布規劃。
適用情境
當使用者想要讀取、建立或更新 Linear 中的工單、專案或團隊工作流程時使用。適用於缺陷分類、衝刺或週期規劃、文件稽核、團隊工作量平衡以及發布規劃等任務。
執行需求
需要已連線的 Linear MCP 伺服器,並透過 OAuth 取得對相關工作區、團隊與專案的存取權限。設定說明涉及 codex CLI、config.toml 功能旗標以及遠端 MCP 客戶端選項。此技能不隨附指令碼,僅為操作說明。

Linear

Overview

This skill provides a structured workflow for managing issues, projects & team workflows in Linear. It ensures consistent integration with the Linear MCP server, which offers natural-language project management for issues, projects, documentation, and team collaboration.

Prerequisites

  • Linear MCP server must be connected and accessible via OAuth
  • Confirm access to the relevant Linear workspace, teams, and projects

Required Workflow

Follow these steps in order. Do not skip steps.

Step 0: Set up Linear MCP (if not already configured)

If any MCP call fails because Linear MCP is not connected, pause and set it up:

  1. Add the Linear MCP:
    • codex mcp add linear --url https://mcp.linear.app/mcp
  2. Enable remote MCP client:
    • Set [features] rmcp_client = true in config.toml or run codex --enable rmcp_client
  3. Log in with OAuth:
    • codex mcp login linear

After successful login, the user will have to restart codex. You should finish your answer and tell them so when they try again they can continue with Step 1.

Windows/WSL note: If you see connection errors on Windows, try configuring the Linear MCP to run via WSL:

json
{"mcpServers": {"linear": {"command": "wsl", "args": ["npx", "-y", "mcp-remote", "https://mcp.linear.app/sse", "--transport", "sse-only"]}}}

Step 1

Clarify the user's goal and scope (e.g., issue triage, sprint planning, documentation audit, workload balance). Confirm team/project, priority, labels, cycle, and due dates as needed.

Step 2

Select the appropriate workflow (see Practical Workflows below) and identify the Linear MCP tools you will need. Confirm required identifiers (issue ID, project ID, team key) before calling tools.

Step 3

Execute Linear MCP tool calls in logical batches:

  • Read first (list/get/search) to build context.
  • Create or update next (issues, projects, labels, comments) with all required fields.
  • For bulk operations, explain the grouping logic before applying changes.

Step 4

Summarize results, call out remaining gaps or blockers, and propose next actions (additional issues, label changes, assignments, or follow-up comments).

Available Tools

Issue Management: list_issues, get_issue, create_issue, update_issue, list_my_issues, list_issue_statuses, list_issue_labels, create_issue_label

Project & Team: list_projects, get_project, create_project, update_project, list_teams, get_team, list_users

Documentation & Collaboration: list_documents, get_document, search_documentation, list_comments, create_comment, list_cycles

Practical Workflows

  • Sprint Planning: Review open issues for a target team, pick top items by priority, and create a new cycle (e.g., "Q1 Performance Sprint") with assignments.
  • Bug Triage: List critical/high-priority bugs, rank by user impact, and move the top items to "In Progress."
  • Documentation Audit: Search documentation (e.g., API auth), then open labeled "documentation" issues for gaps or outdated sections with detailed fixes.
  • Team Workload Balance: Group active issues by assignee, flag anyone with high load, and suggest or apply redistributions.
  • Release Planning: Create a project (e.g., "v2.0 Release") with milestones (feature freeze, beta, docs, launch) and generate issues with estimates.
  • Cross-Project Dependencies: Find all "blocked" issues, identify blockers, and create linked issues if missing.
  • Automated Status Updates: Find your issues with stale updates and add status comments based on current state/blockers.
  • Smart Labeling: Analyze unlabeled issues, suggest/apply labels, and create missing label categories.
  • Sprint Retrospectives: Generate a report for the last completed cycle, note completed vs. pushed work, and open discussion issues for patterns.

Tips for Maximum Productivity

  • Batch operations for related changes; consider smart templates for recurring issue structures.
  • Use natural queries when possible ("Show me what John is working on this week").
  • Leverage context: reference prior issues in new requests.
  • Break large updates into smaller batches to avoid rate limits; cache or reuse filters when listing frequently.

Troubleshooting

  • Authentication: Clear browser cookies, re-run OAuth, verify workspace permissions, ensure API access is enabled.
  • Tool Calling Errors: Confirm the model supports multiple tool calls, provide all required fields, and split complex requests.
  • Missing Data: Refresh token, verify workspace access, check for archived projects, and confirm correct team selection.
  • Performance: Remember Linear API rate limits; batch bulk operations, use specific filters, or cache frequent queries.

來源與署名

來源:openai/skills位於skills/.curated/linear提交49f948f

授權條款: 無授權條款

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