Can I use this for tasks other than Linear management?

No, this specific subagent is dedicated exclusively to Linear API operations like reading issues, managing labels, and updating project statuses.

What is the benefit of the built-in caching?

The session-level caching achieves hit rates of up to 95%, allowing read operations to complete in under 50ms, which is significantly faster than the 400-600ms required for direct API calls.

Does it handle Linear status transitions automatically?

Yes, it includes fuzzy state matching via shared helpers to help resolve human-readable status names like 'In Progress' to their specific Linear IDs.

How does this skill reduce token usage in Claude Code?

It uses a specialized subagent to handle operations more concisely than standard direct MCP calls, resulting in 50-60% fewer tokens used per project management workflow.

What happens if I use an invalid tool name?

The skill validates all operations against a list of 23 supported tools; if an invalid tool is used, it provides structured error messages with suggestions for the correct tool.

Linear Operations Subagent

Name: Linear Operations Subagent
Author: duongdev

byduongdev

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생산성 및 워크플로

Optimizes Linear API interactions within Claude Code to reduce token usage and improve performance through caching and structured error handling.

소개

The Linear Subagent is a specialized CCPM (Claude Code Project Management) skill designed to streamline and optimize all interactions with the Linear API. By acting as a dedicated handler, it achieves a 50-60% reduction in token consumption and significantly faster execution times compared to direct MCP calls. The skill provides a robust framework for managing issues, cycles, and projects with built-in session-level caching, fuzzy state matching, and actionable error reporting, ensuring that automated project management workflows are both cost-effective and highly reliable for developers using Claude Code.

주요 기능

Fuzzy status matching and automatic label management helpers
Validated support for 23 specific Linear API tools including issues, cycles, and projects
Reduces token usage by 50-60% per workflow
Session-level caching with 85-95% hit rates for sub-50ms performance
5 GitHub stars
Structured error handling with actionable suggestions for invalid states or IDs

사용 사례

Managing complex label and comment hierarchies across multiple Linear teams
Fetching project context and team data with minimal token overhead
Automating issue creation and status updates during development sprints

소개

주요 기능

Fuzzy status matching and automatic label management helpers
Validated support for 23 specific Linear API tools including issues, cycles, and projects
Reduces token usage by 50-60% per workflow
Session-level caching with 85-95% hit rates for sub-50ms performance
5 GitHub stars
Structured error handling with actionable suggestions for invalid states or IDs

사용 사례

Managing complex label and comment hierarchies across multiple Linear teams
Fetching project context and team data with minimal token overhead
Automating issue creation and status updates during development sprints