kb1-optimization
kb1-optimization is an Embedded, IoT & robotics skill for AI agents, published by PocketMidi in the KB1 repository on GitHub. Skillspace rates kb1-optimization D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Performance optimization strategies for KB1 firmware. Use when optimizing code, improving responsiveness, reducing latency, debugging performance issues, or planning efficiency improvements. Contains I2C bulk read strategy (12× speedup), serial output optimization (80% reduction), touch sensor debouncing, and performance profiling data. Includes implementation plans and measured results.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- 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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