synth-personas
synth-personas is an Agent, team & workflow authoring skill for AI agents, published by len5ky in the synth-personas repository on GitHub. Skillspace rates synth-personas D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Generate synthetic-persona feedback on an artifact (pitch deck, doc, design proposal, white paper) by fanning out parallel OpenRouter LLM calls — one per persona — against a curated set of ~80 persona profiles (tech billionaires, VCs, tech media, podcasters, scientists, public intellectuals, developer audiences). TRIGGER 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 trigger for single-persona roleplay or general feedback requests.
- Grade
- D
- Quality
- 59 / 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
- 84 / 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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