Linear
OpenAIOfficialPublished by OpenAI
- Skill
- Tool integration
- Automation and integrations
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill integrates Linear with your agent to enable seamless project management. It provides a structured approach to reading, creating, and updating issues, projects, and documentation. By leveraging the Linear MCP server, users can perform complex tasks like sprint planning, bug triage, and workload balancing using natural language, ensuring consistent team collaboration and efficient issue tracking.
What it does
- Facilitates the creation and management of Linear issues and projects.
- Supports team workflow operations including sprint planning and cycle management.
- Enables searching and auditing of project documentation.
- Allows for bulk operations on issues, such as status updates and labeling.
- Provides tools for analyzing team workload and cross-project dependencies.
- Includes structured troubleshooting steps for authentication and API connectivity.
When to use it
- When you need to perform sprint planning or manage team cycles.
- When triaging bugs or prioritizing high-impact issues.
- When auditing project documentation for gaps or outdated information.
- When balancing team workloads or identifying bottlenecks.
- When planning releases by creating projects and associated milestones.
Advantages
- Streamlines project management by reducing manual entry in the Linear interface.
- Enables natural language interaction for complex project tasks.
- Provides a consistent, step-by-step workflow for reliable data management.
- Supports batch operations to improve efficiency and maintain consistency.
- Offers clear guidance on handling authentication and API rate limits.
Usage examples
- “Show me what John is working on this week.”
- The agent lists all active issues assigned to John for the current week by querying the Linear workspace.
- “Create a new project for the v2.0 release with milestones for beta and launch.”
- The agent initializes a new project in Linear and populates it with the specified milestones and associated tasks.
- “List all critical bugs and move the top three to In Progress.”
- The agent filters for high-priority bugs, ranks them by impact, and updates their status in Linear accordingly.
- “Analyze the team workload and suggest redistributions for overloaded members.”
- The agent groups active issues by assignee, identifies members with high loads, and proposes a plan to reassign tasks.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/openai/linear/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip linear.zip -d .agents/skills
Documentation by OpenAI
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:
Add the Linear MCP:
codex mcp add linear --url https://mcp.linear.app/mcp
Enable remote MCP client:
Set
[features] rmcp_client = trueinconfig.tomlor runcodex --enable rmcp_client
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:
{"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.
Files
- ATTRIBUTION.mdAdded by AutoGineer850 B
- LICENSE.txt11.1 KiB
- SKILL.md4.8 KiB
- agents/openai.yaml460 B
- assets/linear-small.svg1.0 KiB
- assets/linear.png6.8 KiB
Requirements and compatibility
Written for: OpenAI Codex
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server, Needs Node.js
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- OpenAI
- Publisher
- OpenAI (Official)
- Source
- openai/skills · skills/.curated/linear · commit 49f948f
- Licence
- Apache License 2.0 (redistribution allowed)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by OpenAI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download linear.zip