Will this skill tell me when to restart my session?

Yes, the Compression Review step explicitly analyzes thread bloat and recommends when to use /new or /compact commands to refresh your token runway.

How does this skill help save tokens?

It employs surgical file slicing, task delegation to external tools, and proactive context compression to ensure only essential data is processed by the model.

When should I use the delegation check feature?

Use it for compute-intensive tasks that can be handled by deterministic scripts or external tools like Qwen MCP instead of using LLM reasoning.

Does it track my Claude usage limits?

Yes, it monitors your 5-hour rolling cap and weekly usage status to help you budget tokens for complex tasks.

Token Conservation & Resource Management

Name: Token Conservation & Resource Management
Author: athola

byathola

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Productivity & Workflow

Optimizes Claude Code sessions by minimizing token consumption through selective context loading, task delegation, and usage tracking.

About

The Resource Management skill is designed to maximize interaction efficiency by managing the underlying token costs and quotas of Claude Code. It implements a structured workflow that includes checking rolling usage limits, surgically selecting file snippets instead of full files, delegating compute-intensive tasks to external tools, and summarizing conversation history to maintain a lean context window. This skill is essential for developers running long-range analyses or working within strict usage tiers, ensuring that critical development sessions are not interrupted by budget exhaustion.

Key Features

Dynamic context compression and prompt caching optimization
Smart task delegation to external tools and deterministic scripts
10 GitHub stars
Selective context loading using rg and sed slices to minimize payload
Automated session quota and weekly usage tracking
Proactive session maintenance prompts for /new and /compact commands

Use Cases

Managing long-running code refactoring sessions without hitting token caps
Maintaining model responsiveness by periodically compacting bloated conversation histories
Reducing costs when processing large repositories by using context slicing

About

Key Features

Dynamic context compression and prompt caching optimization
Smart task delegation to external tools and deterministic scripts
10 GitHub stars
Selective context loading using rg and sed slices to minimize payload
Automated session quota and weekly usage tracking
Proactive session maintenance prompts for /new and /compact commands

Use Cases

Managing long-running code refactoring sessions without hitting token caps
Maintaining model responsiveness by periodically compacting bloated conversation histories
Reducing costs when processing large repositories by using context slicing