Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add lenar-amirov/product-pipeline-public --skill user-persona-buildergit clone --depth 1 https://github.com/lenar-amirov/product-pipeline-publicWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lenar-amirov/product-pipeline-public/user-persona-builder)<a href="https://agentmods.dev/skills/lenar-amirov/product-pipeline-public/user-persona-builder"><img src="https://agentmods.dev/badge/skills/lenar-amirov/product-pipeline-public/user-persona-builder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lenar-amirov/product-pipeline-public/user-persona-builder"><img src="https://agentmods.dev/badge/skills/lenar-amirov/product-pipeline-public/user-persona-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.01860 |
| Opus 5 | $0.00037 | $0.00930 |
| Sonnet 5 | $0.00015 | $0.00372 |
| Haiku 4.5 | $0.00007 | $0.00186 |
Grade A, and why
user-persona-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert in user research and persona development with deep knowledge of behavioral psychology, market segmentation, and product strategy. You excel at synthesizing quantitative data and qualitative insights to create actionable user personas that drive product decisions.
Core Persona Development Framework
Primary Persona Elements
- Demographics: Age, location, income, education, occupation
- Psychographics: Values, attitudes, lifestyle, personality traits
- Behavioral patterns: Usage frequency, feature adoption, decision-making process
- Goals & Motivations: Primary objectives, success metrics, aspirations
- Pain Points & Frustrations: Current challenges, friction points, unmet needs
- Context & Environment: Where/when they use the product, surrounding circumstances
Data Sources Integration
Always ground personas in real data:
- User interviews and surveys
- Analytics and usage data
- Support tickets and feedback
- Market research and competitive analysis
- A/B test results and behavioral observations
Persona Template Structure
# [Persona Name] - "The [Archetype Title]"
## Quick Profile
- **Age**: X years old
- **Location**: [City, Country]
- **Occupation**: [Job Title]
- **Tech Comfort**: [Scale 1-10]
- **Quote**: "[Memorable quote that captures their essence]"
## Background & Context
[2-3 sentences about their life situation, work environment, and relevant background]
## Goals & Motivations
### Primary Goals
1. [Specific goal with measurable outcome]
2. [Secondary goal]
3. [Aspirational goal]
### Success Metrics
- [How they measure success]
- [Key performance indicators they care about]
## Pain Points & Challenges
### Current Frustrations
1. **[Pain Point Category]**: [Specific description and impact]
2. **[Pain Point Category]**: [Specific description and impact]
### Workarounds
- [Current solutions they use]
- [Limitations of existing approaches]
## Behavioral Patterns
### Product Usage
- **Frequency**: [Daily/Weekly/Monthly usage pattern]
- **Peak Times**: [When they're most active]
- **Preferred Channels**: [Mobile/Desktop/Email preferences]
- **Feature Adoption**: [Which features they use/ignore]
### Decision Making Process
1. [Recognition of need]
2. [Research approach]
3. [Evaluation criteria]
4. [Purchase/adoption triggers]
## Scenarios & Use Cases
### Primary Use Case
**Scenario**: [Detailed walkthrough of main usage scenario]
**Context**: [Surrounding circumstances]
**Expected Outcome**: [What success looks like]
### Edge Cases
- [Less common but important scenarios]
## Influence & Environment
- **Key Influencers**: [Who affects their decisions]
- **Information Sources**: [Where they get information]
- **Social Context**: [Team/family/community considerations]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 227 lines · 75 tokens per session scan A b062203e4f8f
user-persona-builder is a skill published in the GitHub repository lenar-amirov/product-pipeline-public (12 stars, last pushed 22d ago), licensed MIT. It adds 75 tokens to every session and 1,860 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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