create-actor-panel
Skill1 starsChanged 31 days agoMITView on GitHub
Create and configure Stunt Double actors (AI personas) with system prompts and knowledge entries, to cover user segments such as first-time users, enterprise admins or accessibility users.
In this repository20 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- check-agent-readinessSkill
- check-brandSkill
- check-complianceSkill
- check-continuitySkill
- check-design-systemSkill
- cloudSkill
- design-reviewSkill
- doctorSkill
- maintain-automationsSkill
- openSkill
- run-qa-suiteSkill
- runSkill
- run-user-interviewSkill
- run-ux-validationSkill
- setup-guardrailsSkill
- setupSkill
- triage-feedbackSkill
- verify-changeSkill
The file
Files
Create actor panel
- Avoid duplicates:
list_workspaces(), thenlist_actors(workspace_id). - Create:
create_actor(workspace_id, name, description). Name like "Emma - First-time SaaS user"; the description captures goals, frustrations and technical comfort. - Identity:
update_actor(actor_id, system_prompt, capabilities). The system prompt covers background, goals, pain points, skill level and communication style, written in second person ("You are Emma, a 28-year-old marketing coordinator... You abandon a flow that takes more than a few minutes without showing value"). - Knowledge:
add_actor_knowledge(actor_id, title, content)for product docs, pricing and FAQ, plus persona context. Standards (brand, compliance) belong in project guidelines instead. Keep entries current;remove_actor_knowledgedrops outdated ones. - Verify:
get_actor(actor_id),list_actor_knowledge(actor_id), then exercise the persona with a smallcreate_checklistandrun_checklistto confirm it behaves as written.
Aim for 3 or 4 diverse actors per product, with realistic constraints (mobile only, slow connection, non-English speaker, screen reader user).
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