Read, create, and update Linear issues, projects, and team workflows.
This skill itself is an open-source, prompt-only workflow description with no built-in local secrets or embedded external endpoints, so overall risk is low. The main consideration is that it is designed to connect to Linear's remote MCP via OAuth and read/write Linear workspace data, making data access and network egress normal caution areas.
The material says the skill itself does not require environment variables or local secrets, but the README explicitly requires OAuth login to the Linear MCP; this implies Linear account authorization tokens are involved. There is no sign of asking for extra sensitive credentials or obvious misuse, but OAuth scope should be kept minimal.
The skill metadata lists no built-in remote endpoint, but the README points to Linear's remote MCP at https://mcp.linear.app/mcp and, in the WSL example, https://mcp.linear.app/sse. In use, issue/project/document-related data would be sent to Linear's official service, which is normal egress within the stated functionality.
This object is marked prompt-only, and the material contains no executable code nor grants the skill itself the ability to spawn local processes or run system commands. Although the README includes setup examples such as `codex mcp add`, `login`, and WSL/npx configuration, those are integration instructions rather than automatic execution by the skill itself.
Per the description, the skill is used to read, create, and update Linear workspace data such as issues, projects, documents, comments, and teams. This access scope matches the project-management purpose, and there is no request for local filesystem or unrelated system resources, but it does have read/write impact on Linear workspace content, so team/project scope and change boundaries should be verified.
The source is the open-source openai/skills repository on GitHub with high community adoption (about 22k stars), which materially lowers supply-chain risk. The missing license declaration and unknown maintenance status are minor information gaps, but given auditable source code and strong community trust, this is better rated low risk rather than high risk.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "linear" skill from askskill: 1. Download https://raw.githubusercontent.com/openai/skills/main/skills/.curated/linear/SKILL.md 2. Save it as ~/.claude/skills/linear/SKILL.md 3. Reload skills and tell me it's ready
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.
Follow these steps in order. Do not skip steps.
If any MCP call fails because Linear MCP is not connected, pause and set it up:
codex mcp add linear --url https://mcp.linear.app/mcp[features] rmcp_client = true in config.toml or run codex --enable rmcp_clientcodex mcp login linearAfter 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"]}}}
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.
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.
Execute Linear MCP tool calls in logical batches:
Summarize results, call out remaining gaps or blockers, and propose next actions (additional issues, label changes, assignments, or follow-up comments).
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
…
Create, repair, QA, and package Codex-compatible animated pet spritesheets.
Create, scaffold, or edit Jupyter notebooks for experiments, exploration, and tutorials.
Deploy, publish, and link web projects to Netlify using the CLI.
Turn chats and decisions into structured Notion wiki pages and linked documentation.
Automate a real browser from the terminal for testing, scraping, and UI debugging.
Debug failing GitHub Actions PR checks, analyze logs, propose fixes, then implement with approval.
Manage Linear issues, comments, assignments, and new tickets through MCP tools.
Manage Linear issues, projects, and team workflows with AI assistance
Manage Linear issues, projects, and teams through MCP-powered AI workflows.
Manage Linear issues through one tool for search, updates, creation, and collaboration.
Access, search, and manage Linear issues, projects, and comments.
Connect to Linear to search, create, update, and comment on work items.