Install
$ agentstack add skill-jiplet-transformation-os-pm-proto-persona ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Purpose
Create an initial, assumption-based persona profile that synthesises available user research, market data, and stakeholder knowledge into a working hypothesis about your target user. Use this to align teams early in product development, guide initial design decisions, and identify gaps in understanding that require validation through research.
This is not a validated persona — it's a "proto" (prototype) persona that evolves as you learn more.
Key Concepts
Proto vs. Validated Persona
| Proto-Persona | Validated Persona | |---|---| | Created in hours/days | Created over weeks/months | | Based on assumptions + limited research | Based on extensive user research | | Used to align teams early | Used to guide detailed design | | Evolves rapidly | Stable over time |
When to Use
- Early-stage product development (before extensive user research)
- Kicking off a new feature or pivot
- Aligning stakeholders on target users
- Identifying research gaps
When NOT to Use
- After you've done extensive user research (create a validated persona instead)
- As a substitute for quantitative data
Application
Step 1: Gather Available Context
Collect before creating:
- User research: interview notes, survey results, support tickets
- Analytics: usage data, demographics, behavioural patterns
- Market data: industry reports, competitor user bases
- Stakeholder insights from sales/support/CS teams
If missing context: Note gaps — don't fabricate.
Step 2: Build the Persona
### Name
- [Alliterative, memorable name — e.g., "Manager Mike", "Startup Sarah"]
### Bio & Demographics
- [Age range]
- [Geographic location]
- [Social status]
- [Online presence]
- [Leisure activities]
- [Career status — job title, industry, seniority]
### Quotes
- "[Quote revealing how they think or speak]"
- "[Quote revealing frustrations or motivations]"
- "[Quote revealing attitudes or beliefs]"
### Pains
- [Pain point 1 — be specific, not vague]
- [Pain point 2]
- [Pain point 3]
### What is This Person Trying to Accomplish?
- [Observable behaviour or outcome 1]
- [Observable behaviour or outcome 2]
- [Observable behaviour or outcome 3]
### Goals
- [Short-term goal]
- [Long-term / aspirational goal]
- [Personal goal if relevant]
### Attitudes & Influences
- **Decision-Making Authority:** [Yes/No + context]
- **Decision Influencers:** [Who influences them — peers, analysts, managers]
- **Beliefs & Attitudes:** [Beliefs that impact adoption of your product]
Step 3: Validate and Iterate
- Share with the team: does this persona resonate?
- Tag assumptions: add
[ASSUMPTION—VALIDATE]where uncertain - Plan research: use proto-persona to guide who to interview next
- Evolve as you learn; graduate to a validated persona when confidence is high
Common Pitfalls
- Demographics without behaviour: "28, lives in NYC" → add behavioural context
- Treating as fact: tag assumptions explicitly
- Creating 10 personas upfront: start with 1-2
- Fabricating quotes: use real quotes or mark as
[PLACEHOLDER—NEEDS RESEARCH] - Never validating: plan research sprints to test key assumptions
Related Skills
pm-problem-statement— Persona informs the "I am" sectionpm-user-story— Stories use "As a [persona]"pm-storyboard— Persona is the main character
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Jiplet
- Source: Jiplet/transformation-os
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.