ProductPROPRO REQUIREDFC-PROD-014
Personas Claw
personas-claw
v0.2.0May 25, 2026User personas — behavioral segmentation, empathy maps, and journey maps based on data, not assumptions
"Our target user is everyone" is the fastest way to build something that nobody loves—and the slowest way to realize you should have segmented six months ago. I build personas grounded in actual user interviews, not conference-room imagination, map their jobs-to-be-done to your product surface, and validate segments with behavioral data so your personas aren't just posters on a wall.
OpenClaw
Hermes
Claude Code
Codex
Cursor
Windsurf
Aider
OllamaPRIMARY ACTION
Unlock with ProCOMPATIBLE WITH
OpenClawHermesClaude CodeCodex+4
8 compatible tools5 output formats
When to Use
- Translate vague ideas into implementation scope
- Prepare user stories with acceptance criteria
- Set realistic priorities before coding
- Create an actionable launch roadmap
Compatible Frameworks
OpenClawHermesClaude CodeCodexCursorWindsurfAiderOllama8 TOOLS
Quality Gates
- no fake claims
- persona data sourced
- behavioral patterns validated
- journey maps actionable
5 GATES DEFINED
Expected Outputs
Persona Cards with JTBD and Behavioral ProfilesEmpathy Maps per Primary PersonaBehavioral Segmentation Analysis with Data SourcesPersona Validation Report (Interview Synthesis)Persona-to-Feature Traceability Matrix
Native exports per tool
OpenClaw10 files
openclaw/AGENTS.mdopenclaw/SOUL.mdopenclaw/TOOLS.md+7 moreHermes5 files
hermes/skills/flickclaw/personas-claw/SKILL.mdhermes/skills/flickclaw/personas-claw/references/workflow.mdhermes/skills/flickclaw/personas-claw/references/quality-gates.md+2 moreClaude Code6 files
claude-code/CLAUDE.mdclaude-code/.claude/skills/personas-claw/SKILL.mdclaude-code/.claude/skills/personas-claw/references/workflow.md+3 moreCodex5 files
codex/AGENTS.mdcodex/.flickclaw/agents/personas-claw/codex.mdcodex/.flickclaw/agents/personas-claw/workflow.md+2 moreCursor3 files
cursor/.cursor/rules/flickclaw-personas-claw.mdccursor/.cursor/rules/flickclaw-personas-claw-workflow.mdccursor/.cursor/rules/flickclaw-personas-claw-quality-gates.mdcWindsurf3 files
windsurf/.windsurf/rules/flickclaw-personas-claw.mdwindsurf/.windsurf/rules/flickclaw-personas-claw-workflow.mdwindsurf/.windsurf/rules/flickclaw-personas-claw-quality-gates.mdAider3 files
aider/CONVENTIONS.mdaider/aider.mdaider/.aider.conf.ymlOllama4 files
ollama/Modelfileollama/system-prompt.mdollama/template.md+1 moreInstall Commands
Install the FlickClaw CLI, then select your AI agent framework below to get the correct install command.
Step 1: Install CLI (one-time)
npm install -g @flickclaw/cli@latestStep 2: Select Framework
OpenClaw
npm exec --yes @flickclaw/cli@latest -- install personas-claw --target openclawDownload as ZIP
Example Prompt
Try this prompt with Personas Claw to see what it can do:
Analyze the current feature set and prioritize the next 3 features by user impact and effort. Create Persona Cards with JTBD and Behavioral Profiles, Empathy Maps per Primary Persona, Behavioral Segmentation Analysis with Data Sources with clear rationale.Example Output
IllustrativeWhat a typical Personas Claw report looks like:
# Personas Claw — Assessment Report **Project**: feature-prioritization **Context**: a product backlog with 80+ items across 3 teams with conflicting priorities **Generated**: 2026-07-10 ## Executive Summary The Personas Claw completed its review of feature-prioritization (a product backlog with 80+ items across 3 teams with conflicting priorities). 3 findings were identified with concrete remediation steps. All quality gates were verified before delivery. ## Findings | # | Severity | Area | Finding | Recommended Action | |---|----------|------|---------|-------------------| | 1 | **P1** | Scope | 12 features lack acceptance criteria | Define criteria and success metrics before scheduling | | 2 | **P2** | Dependencies | Team B blocked on Team A for 4 upcoming items | Resequence to parallelize independent work streams | | 3 | **P2** | Metrics | No success metric defined for Q2 initiatives | Add North Star metric and leading indicators per initiative | ## Quality Gates - [✓] Each persona grounded in 5+ real user interviews - [✓] Jobs-to-be-done mapped per persona with pain points and gains - [✓] Behavioral data (usage patterns, feature adoption) supports segmentation ## Outputs Generated - **Persona Cards with JTBD and Behavioral Profiles**: Included in the report above. - **Empathy Maps per Primary Persona**: Included in the report above. - **Behavioral Segmentation Analysis with Data Sources**: Included in the report above. - **Persona Validation Report (Interview Synthesis)**: Included in the report above. - **Persona-to-Feature Traceability Matrix**: Included in the report above. ## Validation - [x] All quality gates passed (3/3) - [x] 3 findings documented with severity and remediation - [x] 5 output sections generated - [x] Evidence collected and referenced --- *This is an illustrative example output from FlickClaw. Results vary based on project context.*
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