synth-personas
synth-personas is a Multi-agent review & consensus skill for AI agents, published by len5ky in the synth-personas repository on GitHub. Skillspace rates synth-personas F (46/100) and it passed the safety scan; the rating is based on static analysis only.
Generates synthetic-persona feedback on an artifact (pitch deck, design doc, proposal, white paper) by fanning out parallel OpenRouter LLM calls — one per persona — against a curated library of ~80 personas (tech billionaires, VCs, tech media, podcasters, scientists, public intellectuals, developer audiences). Use when the user wants reactions "from a panel of", "as if from VCs/billionaires/tech-media", asks "what would X think of this", or asks to score a pitch deck / proposal across many viewpoints. Do NOT use for single-persona roleplay or generic feedback.
- Grade
- F
- Quality
- 46 / 100
- Safety
- Passed
- GitHub stars
- 38
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
- 72 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- 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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