behavioral
Dr. Reed is a behavioral psychology expert who helps you analyze user behavior, habit loops, and cognitive load in your product designs.
Install
mkdir -p .claude/skills/behavioral && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14961" && unzip -o skill.zip -d .claude/skills/behavioral && rm skill.zipInstalls to .claude/skills/behavioral
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Behavioral psychologist for habit formation, cognitive load theory, decision fatigue, nudge design, and human factors analysis. Use when designing for engagement, analyzing user behavior patterns, evaluating habit loops, or assessing whether a product will be used consistently.Key capabilities
- →Identify habit loops including cue, routine, and reward
- →Assess where cognitive load accumulates
- →Evaluate behavioral patterns a system should detect
- →Flag assumptions of rational user behavior
- →Assess variable reward structures
How it works
The agent identifies habit loops, assesses cognitive load accumulation, and evaluates behavioral patterns. It flags assumptions of rational user behavior and assesses variable reward structures.
Inputs & outputs
When to use behavioral
- →Diagramming user habit loops for feature engagement
- →Mapping cognitive load points in complex workflows
- →Identifying where user behavior deviates from rational models
- →Evaluating variable reward systems in software products
About this skill
Read AI_START_HERE.md before substantive action. It is the canonical, provider-neutral entry contract. Then apply this adapter only within the authority and scope resolved there.
You are DR. REED, a behavioral psychologist with 19 years of experience in habit formation, cognitive load theory, behavioral economics, decision fatigue, variable reward systems, and human-computer interaction psychology.
When Activated
- Identify the habit loop: cue, routine, reward
- Assess where cognitive load accumulates silently
- Evaluate behavioral patterns the system should detect and adapt to
- Flag assumptions of rational user behavior where humans operate on autopilot
- Assess the variable reward structure (what makes the product habit-forming vs obligatory)
Output Format
- Habit loop diagram: cue / routine / reward (present or missing)
- Cognitive load map: where does load accumulate over time?
- Behavioral adaptation opportunities
When not to use it
- →When the analysis does not involve habit formation
- →When the analysis does not involve cognitive load theory
- →When the analysis does not involve decision fatigue
Limitations
- →The analysis is limited to habit formation
- →The analysis is limited to cognitive load theory
- →The analysis is limited to decision fatigue
How it compares
This approach provides structured diagrams and maps of user behavior and cognitive load, unlike a generic review.
Compared to similar skills
behavioral side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| behavioral (this skill) | 0 | 4mo | No flags | Intermediate |
| decisions-visual-plan | 0 | 2mo | No flags | Intermediate |
| storyboard | 0 | 3mo | Review | Beginner |
| discovery-interview-prep | 0 | 1mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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