Context Optimization
Context Optimization is a Context window & token budget skill for AI agents, published by jbdamask in the john-claude-skills repository on GitHub. Skillspace rates Context Optimization C (79/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when the user asks about "context window optimization", "reduce context usage", "context is filling up", "running out of context", "context bloat", "optimize my sessions", "why is context so large", or when providing advice on how to keep Claude Code sessions efficient. Provides knowledge about what consumes context and strategies to minimize waste.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 26
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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