--- name: linear-install-auth-50800f5b6d96 description: | Install and configure Linear SDK/CLI authentication. Use when setting up a new Linear integration, configuring API keys, or initializing Linear in your project. Trigger with phrases like "install linear", "setup linear", "linear auth", "configure linear API key", "linear SDK setup". allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pnpm:*), Bash(yarn:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore --- # Linear Install & Auth ## Overview Set up Linear SDK and configure authentication credentials for API access. ## Prerequisites - Node.js 18+ (Linear SDK is TypeScript/JavaScript only) - Package manager (npm, pnpm, or yarn) - Linear account with API access - Personal API key or OAuth app from Linear settings ## Instructions ### Step 1: Install SDK ```bash # npm npm install @linear/sdk # pnpm pnpm add @linear/sdk # yarn yarn add @linear/sdk ``` ### Step 2: Generate API Key 1. Go to Linear Settings > API > Personal API keys 2. Click "Create key" 3. Copy the generated key (shown only once) ### Step 3: Configure Authentication ```bash # Set environment variable export LINEAR_API_KEY="lin_api_xxxxxxxxxxxx" # Or create .env file echo 'LINEAR_API_KEY=lin_api_xxxxxxxxxxxx' >> .env ``` ### Step 4: Verify Connection ```typescript import { LinearClient } from "@linear/sdk"; const client = new LinearClient({ apiKey: process.env.LINEAR_API_KEY }); const me = await client.viewer; console.log(`Authenticated as: ${me.name} (${me.email})`); ``` ## Output - Installed `@linear/sdk` package in node_modules - Environment variable or .env file with API key - Successful connection verification output ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | `Authentication failed` | Invalid or expired API key | Generate new key in Linear settings | | `Invalid API key format` | Key doesn't start with `lin_api_` | Verify key format from Linear | | `Rate limited` | Too many requests | Implement exponential backoff | | `Module not found` | Installation failed | Run `npm install @linear/sdk` again | | `Network error` | Firewall blocking | Ensure outbound HTTPS to api.linear.app | ## Examples ### TypeScript Setup ```typescript import { LinearClient } from "@linear/sdk"; const linearClient = new LinearClient({ apiKey: process.env.LINEAR_API_KEY, }); // Verify connection async function verifyConnection() { try { const viewer = await linearClient.viewer; console.log(`Connected as ${viewer.name}`); return true; } catch (error) { console.error("Linear connection failed:", error); return false; } } ``` ### OAuth Setup (for user-facing apps) ```typescript import { LinearClient } from "@linear/sdk"; // OAuth tokens from your OAuth flow const client = new LinearClient({ accessToken: userAccessToken, }); ``` ## Resources - [Linear API Documentation](https://developers.linear.app/docs) - [Linear SDK Reference](https://developers.linear.app/docs/sdk/getting-started) - [Linear API Settings](https://linear.app/settings/api) ## Next Steps After successful auth, proceed to `linear-hello-world` for your first API call. --- Source attribution: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/linear-pack/skills/linear-install-auth/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License (with OpenAI/Anthropic Rider) Copyright (c) 2026 Jeffrey Emanuel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic): This rider is part of the "conditions" of this License. In the event of any conflict between this rider and any other portion of this License, this rider controls. "Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their respective Affiliates; and any person or entity acting directly or indirectly on behalf of, for the benefit of, or under the direction of any of the foregoing (including any officer, director, employee, contractor, agent, consultant, service provider, or representative). Notwithstanding any other provision of this License, no rights are granted to any Restricted Party. Any purported license, sublicense, assignment, transfer, or other permission to any Restricted Party is null and void absent the express prior written permission of Jeffrey Emanuel. You may not provide, disclose, distribute, sublicense, sell, lease, lend, host, make available, or otherwise permit access to the Software or any derivative work of the Software (as defined in applicable copyright law) (collectively, "Derivative Works") to or for any Restricted Party. For purposes of this rider, "use" includes, without limitation: copying, modifying, merging, publishing, distributing, sublicensing, selling, transferring, making available, hosting, deploying, executing, benchmarking, testing, analyzing, indexing, or incorporating the Software or any Derivative Works into any dataset, training corpus, evaluation harness, or pipeline for machine learning or other automated systems. This rider applies to the Software and all Derivative Works. As a condition of use, you agree that this rider is a precondition to exercising any rights under this License, and you agree that any distribution of the Software or any Derivative Works must include this rider provision unmodified. Any breach of this rider automatically and immediately terminates the permissions granted by this License. Upon termination, you must immediately cease all use and distribution of the Software and any Derivative Works and destroy all copies under your control. You agree that a breach of this rider would cause irreparable harm and that Jeffrey Emanuel may seek injunctive or other equitable relief to enforce this rider, in addition to any other remedies available at law. To the maximum extent permitted by applicable law, the prevailing party in any action to enforce this rider shall be entitled to recover reasonable attorneys' fees and costs. For purposes of this rider, "Affiliate" means any entity that directly or indirectly controls, is controlled by, or is under common control with the specified party. "Control" means ownership of more than 50% of the voting securities or other ownership interest, or the power to direct management or policies by contract or otherwise. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/linear-pack/skills/linear-install-auth/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering, Product Management Roles: Backend Developer, Growth Product Manager, Product Manager Specialties: API, Backend Tools: Linear Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 970b6b3b8fe1f7f42e404fb8a5ba1afb3fb12ef7c0d0ed4f60942a6cd05739ef