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Readme & install
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Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill psychology-master- _meta.json288 B
- CHANGELOG.md3.8 KB
- README.md9.3 KB
- SKILL.md8.7 KB
Overview
This skill delivers world-class psychology expertise for optimizing human learning, motivation, decision making, and ethical persuasion. It combines learning science, cognitive psychology, behavioral economics, and conversion psychology to produce evidence-based, age-appropriate plans and audit-ready recommendations. Use it to design learning programs, boost engagement, and improve user outcomes without manipulative tactics.
How this skill works
I gather minimal viable context (age, goals, constraints, audience metrics) and select the appropriate evidence-based framework from developmental learning, memory/attention systems, motivation models, or behavioral-economics levers. The skill generates concrete interventions: learning plans, habit supports, messaging hierarchies, and conversion experiments, then runs ethics and validation checks. Scripts are available for assessments, conversion audits, and bias detection to personalize recommendations.
When to use it
- Designing an age-appropriate learning plan for languages, coding, math, music, or motor skills
- Optimizing onboarding, funnels, or conversion flows with ethical persuasion techniques
- Creating habit-forming product experiences that respect user autonomy
- Analyzing user decision-making and reducing friction or bias in choices
- Building retention and motivation systems using evidence-based habit frameworks
Best practices
- Collect minimal context first: age/stage, prior knowledge, time budget, and constraints
- Match interventions to developmental stage and cognitive limits (attention, memory)
- Prioritize transparent, non-deceptive persuasion; avoid dark patterns
- Design measurable experiments with clear hypotheses, metrics, segments, and duration
- Validate with ethics checklist and iterate based on real user data
Example use cases
- Create a 12-week, age-optimized plan for a 10-year-old learning English with weekly milestones and practice structure
- Audit a signup funnel, identify cognitive frictions, and propose three A/B tests to improve conversion ethically
- Design a habit loop for daily practice in adult learners that combines triggers, micro-goals, and progress visibility
- Draft persuasive product messaging that communicates primary promise, proof, risk reducers, and transparent value
- Run a bias-detection pass on marketing copy to remove misleading framing and improve fairness
FAQ
No. It offers educational and behavioral recommendations only; refer medical or psychiatric needs to licensed professionals.
How do you ensure recommendations are ethical?
Every output is run through an ethics checklist emphasizing no deception, guardian involvement for minors, and evidence-based claims.