Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add conorluddy/linear-skills --skill "linear-skills"
Install specific skill from multi-skill repository
# Description
Lightweight Linear skill for fetching issue details. Returns only essential data (title, description, state, assignee) to optimize context usage compared to full Linear MCP.
# SKILL.md
name: linear-skills
version: 1.0.0
description: Lightweight Linear skill for fetching issue details. Returns only essential data (title, description, state, assignee) to optimize context usage compared to full Linear MCP.
Linear Get Issue Skill
Fetch Linear issue details by ID with minimal context overhead.
Quick Start
# Set up your Linear API key
export LINEAR_API_KEY="your_api_key_here"
# Search for issues by keyword
python scripts/search_issues.py "filtering"
# Get full details of a specific issue
python scripts/get_issue.py LUDDY-320
# Get JSON output for parsing
python scripts/get_issue.py LUDDY-320 --json
Available Scripts
Two-Part Workflow: Search + Get
Search to find issues, then Get full details of the one you want.
search_issues.py - Find issues
Search Linear issues by keywords in title, description, or ID.
Usage:
python scripts/search_issues.py <query> [--limit N] [--json]
Arguments:
- <query> - Search term (e.g., "filtering", "exercise", "bug")
Options:
- --limit N - Max results (default: 10)
- --json - Output as JSON
- --help - Show help
Output (default - compact list):
Found 3 issue(s):
1. LUDDY-320 - Filtering System - Progressive Disclosure UX
Status: In Progress | Assignee: Unassigned | Team: LUDDY
2. LUDDY-321 - FilterChip and FilterChipGroup Atoms
Status: Backlog | Assignee: Unassigned | Team: LUDDY
3. LUDDY-323 - Filter Logic & State Management
Status: Backlog | Assignee: Unassigned | Team: LUDDY
Then use the identifier from search results with get_issue.py
get_issue.py - Fetch issue details
Retrieve full Linear issue details including title, description, state, assignee, team, and labels.
Usage:
python scripts/get_issue.py <issue-id> [--json]
Arguments:
- <issue-id> - Linear issue identifier (e.g., ENG-123, DES-45)
Options:
- --json - Output as JSON (for parsing in scripts)
- --help - Show help message
Output (default - human readable):
ENG-123: Fix login bug
Status: In Progress
Priority: High
Assignee: John Doe ([email protected])
Team: Engineering
Labels: bug, p1
Description:
Users unable to login with SSO on mobile Safari. Started after
the recent auth middleware update.
URL: https://linear.app/workspace/issue/ENG-123/...
Created: 2024-12-15
Updated: 2024-12-16
Output (--json):
{
"id": "issue_uuid",
"identifier": "ENG-123",
"title": "Fix login bug",
"description": "Users unable to login...",
"state": {
"name": "In Progress",
"type": "started"
},
"priority": "High",
"assignee": {
"name": "John Doe",
"email": "[email protected]"
},
"team": {
"name": "Engineering",
"key": "ENG"
},
"labels": [
{"name": "bug", "color": "#ff0000"}
],
"url": "https://linear.app/...",
"created_at": "2024-12-15T10:30:00",
"updated_at": "2024-12-16T14:22:00"
}
Environment Setup
- Get your Linear API key from Settings > API in your Linear workspace
- Copy
.env.exampleto.envin the skill directory:
bash cp .env.example .env - Edit
.envand add your key:
LINEAR_API_KEY=your_api_key_here
Alternative: Export directly without .env:
export LINEAR_API_KEY="your_api_key_here"
Note: The script checks for .env in:
1. Skill directory (.claude/skills/linear-skills/.env)
2. Project root (fallback)
3. Current working directory (fallback)
Requirements
- Python 3.9+
- Linear API key (get from workspace Settings > API)
- Zero external dependencies - uses only Python stdlib (urllib, json, argparse)
Installation
No dependencies to install! Just set up your .env file and run.
Why This Skill?
The full Linear MCP can be context-heavy when you only read issues. This lightweight skill:
Benefits:
- Zero Dependencies: Pure Python stdlib
- Lightweight: Direct GraphQL queries, minimal overhead
- Read-Only: Perfect for lookups and searching
- Optimized Output: 3-7 lines by default, JSON on demand
- Context Efficient: Saves significant tokens vs full Linear MCP
- Fast: No SDK initialization, direct API calls
When to use this skill:
- Searching for issues by keyword
- Getting issue details and status
- Quick lookups without modifying anything
- Reducing context overhead
When to use the full Linear MCP instead:
- Creating new issues
- Updating status, assignees, labels, or milestones
- Adding comments or attachments
- Complex workflows that require write access
Examples
Get issue and see description:
python scripts/get_issue.py ENG-123
Parse issue data in a script:
python scripts/get_issue.py ENG-123 --json | jq '.description'
Use with Claude Code:
Simply ask: "Get issue ENG-123" and this skill will be invoked automatically.
Use these scripts directly or let Claude Code invoke them automatically when your request matches the skill description.
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.