openai-skills--linear — community openai-skills--linear, Dhanvanthiri, vigneshsinna, community, ai agent skill, ide skills, agent automation, AI agent skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Project Management Agents needing structured workflows and team collaboration in Linear Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

vigneshsinna vigneshsinna
[0]
[0]
Updated: 3/8/2026

Quality Score

Top 5%
42
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add vigneshsinna/Dhanvanthiri/openai-skills--linear
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The openai-skills--linear skill by vigneshsinna is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Project Management Agents needing structured workflows and team collaboration in Linear

Core Value

Empowers agents to manage issues, projects, and team workflows in Linear, ensuring consistent integration with the Linear MCP server via OAuth, and providing natural-language project management for issues, projects, documentation, and team collaboration

Capabilities Granted for openai-skills--linear

Automating project management workflows in Linear
Generating issue reports and project updates
Collaborating with teams on documentation and project planning

! Prerequisites & Limits

  • Requires Linear MCP server connection and accessibility via OAuth
  • Needs access to relevant Linear workspace, teams, and projects
Project
SKILL.md
4.6 KB
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package.json
240 B
Ready
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SKILL.md
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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
1{"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.

FAQ & Installation Steps

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

? Frequently Asked Questions

What is openai-skills--linear?

Perfect for Project Management Agents needing structured workflows and team collaboration in Linear Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.

How do I install openai-skills--linear?

Run the command: npx killer-skills add vigneshsinna/Dhanvanthiri/openai-skills--linear. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for openai-skills--linear?

Key use cases include: Automating project management workflows in Linear, Generating issue reports and project updates, Collaborating with teams on documentation and project planning.

Which IDEs are compatible with openai-skills--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 openai-skills--linear?

Requires Linear MCP server connection and accessibility via OAuth. Needs access to relevant Linear workspace, teams, and projects.

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 vigneshsinna/Dhanvanthiri/openai-skills--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 openai-skills--linear immediately in the current project.

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