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/persona — measured AI agent skill | DecimalAI

alirezarezvani/persona

SkillScore96Maintained

Generate data-driven user personas for UX research and product design. Usage: /persona generate [options]

by alirezarezvani

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Design & UX Review pack

decimalai skills pull alirezarezvani-persona

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/alirezarezvani-persona/SKILL.md

Raw file: /s/alirezarezvani-persona/SKILL.md ↗ · machine-readable summary at /s/alirezarezvani-persona.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

24 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 2h ago

Yes — +42% lift-30% tokens0% turns96% of whole cases pass with skill (23/24)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-18	✗→✓	▲ Improved	-33%	0%
case-01	✗→✓	▲ Improved	-57%	0%
case-02	✗→✓	▲ Improved	-76%	0%
case-03	✗→✓	▲ Improved	-66%	0%
case-05	✗→✓	▲ Improved	5%	0%

Showing 5 of 24 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

alirezarezvani / claude-skills

.gemini/skills/persona/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

/persona

Generate structured user personas with demographics, goals, pain points, and behavioral patterns.

Usage

/persona generate                                            Generate persona (interactive)
/persona generate json                                       Generate persona as JSON

Input Format

Interactive mode prompts for product context. Alternatively, provide context inline:

/persona generate
> Product: B2B project management tool
> Target: Engineering managers at mid-size companies
> Key problem: Cross-team visibility

Examples

/persona generate
/persona generate json
/persona generate json > persona-eng-manager.json

Scripts

product-team/skills/ux-researcher-designer/scripts/persona_generator.py — Persona generator (positional json arg for JSON output)

Skill Reference

> product-team/skills/ux-researcher-designer/SKILL.md

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Other measured skills in the registry, with their headline benchmark lift.