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linear-skills

Lightweight Linear skill for fetching issue details. Returns only essential data (title, description, state, assignee) to optimize context usage compared to full Linear MCP.

DeepseekModel Curated skill Quality Good · 48 v1.0.0

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https://deepseekmodel.com/api/download.php?id=conorluddy-linear-skills-linear-skills-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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 (john@example.com) 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" : "john@example.com" } , "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.example to .env in the skill directory: cp .env.example . env Edit .env and 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: Skill directory ( .claude/skills/linear-skills/.env ) Project root (fallback) 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.
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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