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Personas

GPTClaudeGemini··1,136 copies·updated 2026-07-14
personas-6.prompt
# Personas

This document describes the initial personas `spar-kit` is designed to help. These are lightweight product personas, not formal research-backed archetypes. Their job is to help us make better decisions about workflow design, compatibility, onboarding, and documentation.

## Vibe Vera

Vera is new to coding but not new to building. She has ideas, urgency, and enough product instinct to know when something feels useful, but she does not want to live in a terminal or piece together a workflow from ten different tools. She is drawn to agentic editors and "prompt to product" experiences, and she benefits from SPAR when it turns messy bursts of momentum into a simple, repeatable path from idea to clear change.

Tools they may use:

- Cursor
- Windsurf
- Antigravity
- GitHub Copilot
- ChatGPT

## Promptwright Pete

Pete is a solo maker who thinks in prompts, examples, and iterations. He is comfortable steering an agent through ambiguity and refining outputs over several passes, but he still needs a lightweight structure that keeps work from drifting. SPAR helps him by giving shape to his instincts without forcing heavyweight process onto a fast-moving solo workflow.

Tools they may use:

- Codex
- Cursor
- Claude Code
- ChatGPT
- Gemini

## Terminal Tess

Tess is technically confident and likes working close to the code. She is comfortable in the terminal, values reproducibility, and prefers tools that are explicit about what they are doing. She does not need SPAR to make coding feel accessible; she needs it to make agent-assisted development more disciplined, reviewable, and durable across real software work.

Tools they may use:

- Codex
- Claude Code
- Gemini CLI
- Aider
- Git

## Manager Maya

Maya leads a small team and cares less about any single agent session than about whether the overall system produces understandable work. She wants specs that reduce confusion, plans that make delegation easier, and documentation that helps her see whether AI is improving delivery or just creating noise. SPAR is useful to her when it makes AI-assisted work easier to review, coach, and operationalize across a team.

Tools they may use:

- GitHub
- Linear
- Jira
- Notion
- Cursor
- GitHub Copilot

## Maintainer Max

Max owns repositories that multiple people and agents touch over time. He worries about inconsistency, half-followed conventions, and good ideas getting lost between sessions. He values SPAR because it can make repo guidance harder to ignore and create a more stable contract between humans, agents, and the project itself.

Tools they may use:

- Codex
- Cursor
- Claude Code
- GitHub
- `AGENTS.md`
- repo templates

## Consultant Cass

Cass works across many repos, clients, and delivery contexts. She needs a portable way to start cleanly, align quickly, and leave behind artifacts that make sense to the next person. SPAR helps her when it gives her a reusable rhythm for discovery, planning, execution, and retention without requiring every client project to invent its own process from scratch.

Tools they may use:

- Cursor
- Codex
- Claude Code
- GitHub Copilot
- Notion
- Google Docs

when to use it

Community prompt sourced from the open-source GitHub repo Jed-Tech/spar-kit (Apache-2.0). A "Personas" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

careercommunitygeneral

source

Jed-Tech/spar-kit · Apache-2.0