ruleset-optimization
Guidelines for optimizing Claude rulesets and instruction files (CLAUDE.md, settings.json) using context efficiency principles. Includes strategies for skill extraction, progressive disclosure, token savings calculation, and deduplication. Manually invoke when optimizing rulesets, reducing context size, extracting content to skills, or improving ruleset organization.
cursor-agent-supervisor
Offloading tasks with a well-defined scope to sub-agents, for instance to use a sub-agent to implement a set of specs. Use this skill whenever a task should not need a broad knowledge of the whole project
nav-compact
Clear conversation context while preserving knowledge via context marker. Use when user says "clear context", "start fresh", "done with this task", or when approaching token limits.
claude-md-progressive-disclosurer
Optimize user CLAUDE.md files by applying progressive disclosure principles. This skill should be used when users want to reduce CLAUDE.md bloat, move detailed content to references, extract reusable patterns into skills, or improve context efficiency. Triggers include "optimize CLAUDE.md", "reduce CLAUDE.md size", "apply progressive disclosure", or complaints about CLAUDE.md being too long.
context-optimization
This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
