mcpbeat Sign in

Grad Tpb Agent Skill

Apply the Theory of Planned Behavior to predict behavioral intentions from attitudes, subjective norms, and perceived behavioral control, and identify intervention leverage points. Use this skill when the user needs to predict adoption of a new behavior, diagnose why an intended behavior does not occur, design behavior change campaigns, or when they ask 'why do people not follow through', 'what predicts behavior change', or 'how to increase adoption rates'.

3k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-tpb

What comes with it

7 165 bytes besides the instruction
examples/sample_scenario.md

The instruction itself

13 sections, as written by the author

Theory of Planned Behavior (TPB)

Overview

The Theory of Planned Behavior (Ajzen, 1991) extends the Theory of Reasoned Action by adding perceived behavioral control as a predictor of both intention and behavior. Behavioral intention is determined by three factors: attitude toward the behavior, subjective norms, and perceived behavioral control. Intention is the proximal predictor of behavior, moderated by actual control.

When to Use

  • Predicting whether a target population will adopt a new behavior (health, technology, policy)
  • Diagnosing the intention-behavior gap — why people intend to act but do not follow through
  • Designing persuasion or behavior change interventions by targeting the weakest predictor
  • Evaluating campaign effectiveness on attitude, norm, and control dimensions

When NOT to Use

  • For habitual or automatic behaviors where intention plays a minimal role
  • When behavior is primarily driven by unconscious or emotional processes (use dual-process models)
  • For behaviors under complete external control (no volitional component)

Assumptions

IRON LAW: Intention predicts behavior ONLY when perceived
behavioral control is high — without actual control, intention
alone is insufficient. The intention-behavior gap widens as
volitional control decreases.

Key assumptions:

  • People make reasoned (though not necessarily rational) decisions based on available information
  • Behavioral beliefs, normative beliefs, and control beliefs are the informational foundations
  • The relative weight of attitude, norms, and PBC varies across behaviors and populations

Methodology

Step 1 — Specify the Target Behavior

Define the behavior precisely using the TACT framework:

  • Target: at what object or person
  • Action: what specific action
  • Context: in what situation
  • Time: in what time frame

Step 2 — Measure the Three Predictors

| Predictor | Definition | Underlying Beliefs |

|-----------|------------|--------------------|

| Attitude | Favorable/unfavorable evaluation of performing the behavior | Behavioral beliefs (outcomes x evaluations) |

| Subjective norms | Perceived social pressure to perform or not perform | Normative beliefs (referents x motivation to comply) |

| Perceived behavioral control (PBC) | Perceived ease or difficulty of performing the behavior | Control beliefs (facilitators/barriers x power) |

Step 3 — Assess Intention and the Intention-Behavior Gap

  • Measure behavioral intention as a function of the three predictors
  • Identify which predictor is the weakest link (highest leverage for intervention)
  • Evaluate actual behavioral control to assess gap risk

Step 4 — Design Targeted Intervention

  • Attitude-focused: provide new outcome information, reframe consequences
  • Norm-focused: make social norms visible, use social proof, engage opinion leaders
  • PBC-focused: reduce barriers, build self-efficacy, provide skills training
  • Implementation intentions: bridge the intention-behavior gap with "if-then" planning

Output Format

## TPB Analysis: [Target Behavior]

### Behavior Specification (TACT)
- Target: [object/person]
- Action: [specific behavior]
- Context: [situation]
- Time: [time frame]

### Predictor Assessment
| Predictor | Score | Key Beliefs | Intervention Potential |
|-----------|-------|-------------|----------------------|
| Attitude | [+/-] | [salient beliefs] | [High/Medium/Low] |
| Subjective norms | [+/-] | [key referents] | [High/Medium/Low] |
| PBC | [+/-] | [barriers/facilitators] | [High/Medium/Low] |

### Intention Strength: [Strong/Moderate/Weak]
### Intention-Behavior Gap Risk: [High/Medium/Low]

### Recommended Intervention
1. [Primary lever: weakest predictor]
2. [Implementation intention strategy]
3. [Barrier removal or facilitator enhancement]

Gotchas

  • TPB assumes rational information processing; it underestimates the role of emotions, habits, and unconscious drivers
  • Subjective norms are consistently the weakest predictor in meta-analyses — but this may reflect measurement issues rather than true irrelevance
  • Past behavior often explains more variance than TPB constructs, suggesting habit and automaticity are under-represented
  • PBC is not the same as actual control — people systematically overestimate or underestimate their control
  • The theory works best for deliberate, one-time decisions; for recurring behaviors, habit formation models should supplement TPB
  • Cross-cultural application requires recalibrating normative beliefs — collectivist cultures weight subjective norms more heavily

References

  • Ajzen, I. (1991). The theory of planned behavior. *Organizational Behavior and Human Decision Processes*, 50(2), 179-211.
  • Armitage, C. J. & Conner, M. (2001). Efficacy of the theory of planned behaviour: a meta-analytic review. *British Journal of Social Psychology*, 40(4), 471-499.
  • Fishbein, M. & Ajzen, I. (2010). *Predicting and changing behavior: the reasoned action approach*. Psychology Press.

Other skills for the same job

different authors, same section of the catalogue
Internal Comms
by anthropics
vendor ×13

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

6k tokens
Competitive Ads Extractor
by frostant
×10

Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.

2k tokens
Lead Research Assistant
by frostant
×8

Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.

2k tokens
Developer Growth Analysis
by frostant
×6

Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.

4k tokens
App Store Optimization
by alirezarezvani
×3

Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store

55k tokens scripts
Deeptools
by christophacham
×3

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

21k tokens scripts
Pymatgen
by christophacham
×3

Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.

26k tokens scripts
Enhance Prompt
by google-labs-code
vendor ×2

Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.

3k tokens

How to use it

Copy the folder

Take asgard-ai-platform/grad-tpb from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.