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optimize-context

Reduces per-turn context and token load by trimming kernels, skills, and connectors.

Updated Aug 30, 2026
Search Tags:#workflow#skills#ai agents#configuration#context optimization#token reduction
One-click install
npx skills add https://github.com/ryanportfolio/threejs-interview-test --skill optimize-context-ryanportfolio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: optimize-context
Source: https://github.com/ryanportfolio/threejs-interview-test/tree/main/.agents/skills/optimize-context
Command: npx skills add https://github.com/ryanportfolio/threejs-interview-test --skill optimize-context-ryanportfolio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI coding sessions accumulate large context windows from kernels, skills, and connectors, inflating token usage and slowing responses. This Skill provides a canonical workflow to analyze and trim that context load. ## Core Features & Use Cases - Context Reduction: Identifies and trims kernels, skills, and connectors that contribute unnecessary per-turn token load. - Starter Propagation: Propagates generic context optimizations back to the starter configuration so improvements persist across sessions. - Use Case: When a repository's agent configuration loads too many skills per turn, invoke this Skill to audit the context footprint and apply a leaner configuration. ## Quick Start Ask the agent to optimize the current context configuration and reduce per-turn token load by trimming unneeded skills and connectors.

Frequently Asked Questions about optimize-context

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

FAQPage Schema
How do I reduce token usage in AI agent sessions?▼

Reduce token usage by trimming kernels, skills, and connectors that load into every turn's context. This Skill provides a workflow to audit the context footprint and apply a leaner configuration propagated to the starter.

What is context optimization for AI coding assistants?▼

Context optimization is the practice of minimizing the instructions, skills, and connector definitions loaded into each model turn. It lowers token cost and latency while keeping only the capabilities the workflow actually needs.

Does this Skill modify my repository configuration automatically?▼

The Skill follows a canonical workflow defined in a separate SKILL.md file and only propagates generic optimizations to the starter. It does not authorize commits, pushes, or other outward actions unless the user explicitly requests them.

When should I not trim skills from agent context?▼

Avoid trimming skills that active workflows depend on, since removing them breaks those capabilities. Review which kernels and connectors are actually invoked per turn before cutting anything.

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