linear-subagent-guide

Optimize Linear API usage with caching and standardized MCP parameter handling.

9|1|Updated Nov 20, 2025

Search Tags:#automation #caching #api #mcp #linear #token-savings #ccpm

Ready to run

npx skills add https://github.com/duongdev/ccpm --skill linear-subagent-guide

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: linear-subagent-guide
Source: https://github.com/duongdev/ccpm/tree/main/skills/linear-subagent-guide
Command: npx skills add https://github.com/duongdev/ccpm --skill linear-subagent-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides optimal Linear operations usage with a dedicated Linear subagent to save tokens, cache results, and standardize MCP calls.

Core Features & Use Cases

Exact Linear MCP parameter usage: Provides precise parameter names for all tools.
Centralized operations reference: Consistent guidance for create/get/list/update on issues, documents, cycles, etc.
Token-efficient patterns: Emphasizes caching and proper argument shapes to reduce context size.

Quick Start

Use the Linear subagent for reading or writing Linear data, ensuring you pass correct argument names (e.g., id for get_issue, issueId for create_comment).

Frequently Asked Questions about linear-subagent-guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I reduce token usage when working with Linear API calls?▼

Token-efficient Linear operations use caching and proper argument shapes to minimize context size. This Skill guides centralized Linear subagent delegation with session-level caching, achieving high hit rates and sub-50 ms performance for cached calls to reduce overall token consumption.

What are the correct parameter names for Linear MCP tool calls?▼

Linear MCP tools require exact parameter naming: use id for get_issue, issueId for create_comment, and consistent argument shapes across create, get, list, and update operations. This Skill provides precise parameter documentation for all Linear operations to standardize MCP calls.

How do I automate Linear workflows with deterministic parameter handling?▼

Automate Linear issue, project, cycle, document, label, and comment operations through a dedicated subagent that applies deterministic parameter handling, standardized error handling, and centralized delegation. This ensures consistent, predictable automation within CCPM workflows.

Can I use caching to speed up repeated Linear API queries?▼

Yes. Session-level caching with high hit rates delivers sub-50 ms performance for cached Linear calls, significantly faster than uncached operations. This Skill documents caching patterns and error handling to optimize repeated reads across issues, documents, and other Linear entities.

What operations does the Linear subagent support?▼

The Linear subagent covers reading, creating, updating, and deleting issues, projects, cycles, documents, labels, and comments. It standardizes MCP tool usage with exact parameter naming, caching, performance patterns, and centralized error handling for all these operations.