synesthesia
synesthesia is a Structured reasoning & decision frameworks skill for AI agents, published by tkersey in the dotfiles repository on GitHub. Skillspace rates synesthesia C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Reversible cross-modal diagnostic lens for software. Use when the user asks what code, architecture, behavior, logs, APIs, or alternatives feel, sound, look, or move like; for compare-by-feel analysis; when literal analysis leaves multiple plausible structural, temporal, interaction, or boundary interpretations that cross-modal recoding could distinguish; or after an owning technical workflow documents such an ambiguity. Start from literal evidence and translate every sensory statement into a technical hypothesis, uncertainty, falsifier, and next move. Not for ordinary architecture, performance, readability, or UX audits; exact syntax; legal/compliance or security sign-off; or code mutation by itself.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 63
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.