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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 官方收录技能 质量 良好 · 48 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=conorluddy-linear-skills-linear-skills-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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