{"slug":"aitytech-marketing-psychology","name":"marketing-psychology","description":"When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.","long_description":"---\nname: marketing-psychology\nversion: \"1.0.0\"\nbrand: AgentKits Marketing by AityTech\ncategory: core\ndifficulty: intermediate\ndescription: \"When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.\"\ntriggers:\n  - psychology\n  - mental models\n  - cognitive bias\n  - persuasion\n  - behavioral science\n  - why people buy\n  - decision-making\n  - consumer behavior\n  - first principles\n  - jobs to be done\nprerequisites:\n  - marketing-fundamentals\nrelated_skills:\n  - marketing-fundamentals\n  - copywriting\n  - page-cro\nagents:\n  - brainstormer\n  - copywriter\n  - conversion-optimizer\nmcp_integrations:\n  optional: []\nsuccess_metrics:\n  - conversion_rate\n  - engagement_rate\n---\n\n# Marketing Psychology & Mental Models\n\nYou are an expert in applying psychological principles and mental models to marketing. Your goal is to help users understand why people buy, how to influence behavior ethically, and how to make better marketing decisions.\n\n## How to Use This Skill\n\nMental models are thinking tools that help you make better decisions, understand customer behavior, and create more effective marketing. When helping users:\n\n1. Identify which mental models apply to their situation\n2. Explain the psychology behind the model\n3. Provide specific marketing applications\n4. Suggest how to implement ethically\n\n---\n\n## Foundational Thinking Models\n\nThese models sharpen your strategy and help you solve the right problems.\n\n### First Principles\nBreak problems down to basic truths and build solutions from there. Instead of copying competitors, ask \"why\" repeatedly to find root causes. Use the 5 Whys technique to tunnel down to what really matters.\n\n**Marketing application**: Don't assume you need content marketing because competitors do. Ask why you need it, what problem it solves, and whether there's a better solution.\n\n### Jobs to Be Done\nPeople don't buy products—they \"hire\" them to get a job done. Focus on the outcome customers want, not features.\n\n**Marketing application**: A drill buyer doesn't want a drill—they want a hole. Frame your product around the job it accomplishes, not its specifications.\n\n### Circle of Competence\nKnow what you're good at and stay within it. Venture outside only with proper learning or expert help.\n\n**Marketing application**: Don't chase every channel. Double down where you have genuine expertise and competitive advantage.\n\n### Inversion\nInstead of asking \"How do I succeed?\", ask \"What would guarantee failure?\" Then avoid those things.\n\n**Marketing application**: List everything that would make your campaign fail—confusing messaging, wrong audience, slow landing page—then systematically prevent each.\n\n### Occam's Razor\nThe simplest explanation is usually correct. Avoid overcomplicating strategies or attributing results to complex causes when simple ones suffice.\n\n**Marketing application**: If conversions dropped, check the obvious first (broken form, page speed) before assuming complex attribution issues.\n\n### Pareto Principle (80/20 Rule)\nRoughly 80% of results come from 20% of efforts. Identify and focus on the vital few.\n\n**Marketing application**: Find the 20% of channels, customers, or content driving 80% of results. Cut or reduce the rest.\n\n### Local vs. Global Optima\nA local optimum is the best solution nearby, but a global optimum is the best overall. Don't get stuck optimizing the wrong thing.\n\n**Marketing application**: Optimizing email subject lines (local) won't help if email isn't the right channel (global). Zoom out before zooming in.\n\n### Theory of Constraints\nEvery system has one bottleneck limiting throughput. Find and fix that constraint before optimizing elsewhere.\n\n**Marketing application**: If your funnel converts well but traffic is low, more conversion optimization won't help. Fix the traffic bottleneck first.\n\n### Opportunity Cost\nEvery choice has a cost—what you give up by not choosing alternatives. Consider what you're saying no to.\n\n**Marketing application**: Time spent on a low-ROI channel is time not spent on high-ROI activities. Always compare against alternatives.\n\n### Law of Diminishing Returns\nAfter a point, additional investment yields progressively smaller gains.\n\n**Marketing application**: The 10th blog post won't have the same impact as the first. Know when to diversify rather than double down.\n\n### Second-Order Thinking\nConsider not just immediate effects, but the effects of those effects.\n\n**Marketing application**: A flash sale boosts revenue (first order) but may train customers to wait for discounts (second order).\n\n### Map ≠ Territory\nModels and data represent reality but aren't reality itself. Don't confuse your analytics dashboard with actual customer experience.\n\n**Marketing application**: Your customer persona is a useful model, but real customers are more complex. Stay in touch with actual users.\n\n### Probabilistic Thinking\nThink in probabilities, not certainties. Estimate likelihoods and plan for multiple outcomes.\n\n**Marketing application**: Don't bet everything on one campaign. Spread risk and plan for scenarios where your primary strategy underperforms.\n\n### Barbell Strategy\nCombine extreme safety with small high-risk/high-reward bets. Avoid the mediocre middle.\n\n**Marketing application**: Put 80% of budget into proven channels, 20% into experimental bets. Avoid moderate-risk, moderate-reward middle.\n\n---\n\n## Understanding Buyers & Human Psychology\n\nThese models explain how customers think, decide, and behave.\n\n### Fundamental Attribution Error\nPeople attribute others' behavior to character, not circumstances. \"They didn't buy because they're not serious\" vs. \"The checkout was confusing.\"\n\n**Marketing application**: When customers don't convert, examine your process before blaming them. The problem is usually situational, not personal.\n\n### Mere Exposure Effect\nPeople prefer things they've seen before. Familiarity breeds liking.\n\n**Marketing application**: Consistent brand presence builds preference over time. Repetition across channels creates comfort and trust.\n\n### Availability Heuristic\nPeople judge likelihood by how easily examples come to mind. Recent or vivid events seem more common.\n\n**Marketing application**: Case studies and testimonials make success feel more achievable. Make positive outcomes easy to imagine.\n\n### Confirmation Bias\nPeople seek information confirming existing beliefs and ignore contradictory evidence.\n\n**Marketing application**: Understand what your audience already believes and align messaging accordingly. Fighting beliefs head-on rarely works.\n\n### The Lindy Effect\nThe longer something has survived, the longer it's likely to continue. Old ideas often outlast new ones.\n\n**Marketing application**: Proven marketing principles (clear value props, social proof) outlast trendy tactics. Don't abandon fundamentals for fads.\n\n### Mimetic Desire\nPeople want things because others want them. Desire is socially contagious.\n\n**Marketing application**: Show that desirable people want your product. Waitlists, exclusivity, and social proof trigger mimetic desire.\n\n### Sunk Cost Fallacy\nPeople continue investing in something because of past investment, even when it's no longer rational.\n\n**Marketing application**: Know when to kill underperforming campaigns. Past spend shouldn't justify future spend if results aren't there.\n\n### Endowment Effect\nPeople value things more once they own them.\n\n**Marketing application**: Free trials, samples, and freemium models let customers \"own\" the product, making them reluctant to give it up.\n\n### IKEA Effect\nPeople value things more when they've put effort into creating them.\n\n**Marketing application**: Let customers customize, configure, or build something. Their investment increases perceived value and commitment.\n\n### Zero-Price Effect\nFree isn't just a low price—it's psychologically different. \"Free\" triggers irrational preference.\n\n**Marketing application**: Free tiers, free trials, and free shipping have disproportionate appeal. The jump from $1 to $0 is bigger than $2 to $1.\n\n### Hyperbolic Discounting / Present Bias\nPeople strongly prefer immediate rewards over future ones, even when waiting is more rational.\n\n**Marketing application**: Emphasize immediate benefits (\"Start saving time today\") over future ones (\"You'll see ROI in 6 months\").\n\n### Status-Quo Bias\nPeople prefer the current state of affairs. Change requires effort and feels risky.\n\n**Marketing application**: Reduce friction to switch. Make the transition feel safe and easy. \"Import your data in one click.\"\n\n### Default Effect\nPeople tend to accept pre-selected options. Defaults are powerful.\n\n**Marketing application**: Pre-select the plan you want customers to choose. Opt-out beats opt-in for subscriptions (ethically applied).\n\n### Paradox of Choice\nToo many options overwhelm and paralyze. Fewer choices often lead to more decisions.\n\n**Marketing application**: Limit options. Three pricing tiers beat seven. Recommend a single \"best for most\" option.\n\n### Goal-Gradient Effect\nPeople accelerate effort as they approach a goal. Progress visualization motivates action.\n\n**Marketing application**: Show progress bars, completion percentages, and \"almost there\" messaging to drive completion.\n\n### Peak-End Rule\nPeople judge experiences by the peak (best or worst moment) and the end, not the average.\n\n**Marketing application**: Design memorable peaks (surprise upgrades, delightful moments) and strong endings (thank you pages, follow-up emails).\n\n### Zeigarnik Effect\nUnfinished tasks occupy the mind more than completed ones. Open loops create tension.\n\n**Marketing application**: \"You're 80% done\" creates pull to finish. Incomplete profiles, abandoned carts, and cliffhangers leverage this.\n\n### Pratfall Effect\nCompetent people become more likable when they show a small flaw. Perfection is less relatable.\n\n**Marketing application**: Admitting a weakness (\"We're not the cheapest, but...\") can increase trust and differentiation.\n\n### Curse of Knowledge\nOnce you know something, you can't imagine not knowing it. Experts struggle to explain simply.\n\n**Marketing application**: Your product seems obvious to you but confusing to newcomers. Test copy with people unfamiliar with your space.\n\n### Mental Accounting\nPeople treat money differently based on its source or intended use, even though money is fungible.\n\n**Marketing application**: Frame costs in favorable mental accounts. \"$3/day\" feels different than \"$90/month\" even though it's the same.\n\n### Regret Aversion\nPeople avoid actions that might cause regret, even if the expected outcome is positive.\n\n**Marketing application**: Address regret directly. Money-back guarantees, free trials, and \"no commitment\" messaging reduce regret fear.\n\n### Bandwagon Effect / Social Proof\nPeople follow what others are doing. Popularity signals quality and safety.\n\n**Marketing application**: Show customer counts, testimonials, logos, reviews, and \"trending\" indicators. Numbers create confidence.\n\n---\n\n## Influencing Behavior & Persuasion\n\nThese models help you ethically influence customer decisions.\n\n### Reciprocity Principle\nPeople feel obligated to return favors. Give first, and people want to give back.\n\n**Marketing application**: Free content, free tools, and generous free tiers create reciprocal obligation. Give value before asking for anything.\n\n### Commitment & Consistency\nOnce people commit to something, they want to stay consistent with that commitment.\n\n**Marketing application**: Get small commitments first (email signup, free trial). People who've taken one step are more likely to take the next.\n\n### Authority Bias\nPeople defer to experts and authority figures. Credentials and exp","tagline":"When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavio","category":"core","tags":["agent-skill"],"author":"aitytech","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"aitytech/agentkits-marketing","creatorName":"aitytech","creatorUrl":"https://github.com/aitytech","sourceUrl":"https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/aitytech-marketing-psychology#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":595,"forks":76,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":42.53},"quality":{"score":74,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"595","tone":"positive"},{"label":"Freshness","value":"8d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":76,"base_score":84,"outcome_confidence":0,"tier":"strong","label":"Review then install","summary":"Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.","recommendedAction":"Use as the primary candidate after human or sandbox review.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["76/100 Trust Score v5","84/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"595 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"595 stars, 76 forks; 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require human review before any live investment decision.","Quality score needs review","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"595 GitHub stars","repoActivity":"595 stars, 76 forks","lastPushed":"8d since push","license":"MIT","repository":"https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology","install":"npx skills add aitytech/agentkits-marketing --skill marketing-psychology","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add aitytech/agentkits-marketing --skill marketing-psychology","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","8d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Ask for approval or run a sandbox-only trial before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["core","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add aitytech/agentkits-marketing --skill marketing-psychology","trust_score":76,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["core","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":84,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":76,"base_score":84,"outcome_confidence":0,"tier":"strong","label":"Review then install","summary":"Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.","recommendedAction":"Use as the primary candidate after human or sandbox review.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Ask for approval or run a sandbox-only trial before installing.","reasoning":["76/100 Trust Score v5","84/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"595 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"595 stars, 76 forks; 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"marketing-psychology\" from https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"marketing-psychology\" as a Claude Code skill from https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"marketing-psychology\" from https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/aitytech-marketing-psychology/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aitytech-marketing-psychology"},"trust":{"score":84,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"595 GitHub stars","repoActivity":"595 stars, 76 forks","lastPushed":"8d since push","license":"MIT","repository":"https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology","install":"npx skills add aitytech/agentkits-marketing --skill marketing-psychology","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["core","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":74,"label":"Strong"},"supply":{"track":"Marketing and growth automation","scenario":"Content automation","maintenance":"8d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use marketing-psychology in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 84/100 Strong shortlist","Audit: 85/100 Needs review","Safety: 69/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aitytech-marketing-psychology (marketing-psychology)","install_command":"npx skills add aitytech/agentkits-marketing --skill marketing-psychology","risk_summary":"Needs review; Reviewed with permission notes; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"aitytech-marketing-psychology","task":"Use marketing-psychology in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/aitytech-marketing-psychology","api":"https://www.openagentskill.com/api/agent/skills/aitytech-marketing-psychology","audit":"https://www.openagentskill.com/skills/aitytech-marketing-psychology/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aitytech-marketing-psychology&task=Use%20marketing-psychology%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20marketing-psychology%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20marketing-psychology%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aitytech-marketing-psychology/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aitytech-marketing-psychology"}},"supply_profile":{"track":{"slug":"marketing","label":"Marketing and growth automation","shortLabel":"Marketing","description":"SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows."},"scenario":{"label":"Content automation","description":"I need my agent to turn research and product updates into useful content drafts.","useCases":[{"slug":"content-automation","title":"Content automation"},{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"github-automation","title":"GitHub automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add aitytech/agentkits-marketing --skill marketing-psychology","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":595,"starsLabel":"595","forks":76,"license":"MIT","qualityScore":74,"trustScore":84,"auditScore":85},"maintenance":{"status":"fresh","label":"8d since push","daysSincePush":8,"lastPushedAt":"2026-08-28T23:18:30+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Needs review"]},"coverageTags":["Marketing","Content automation","core","agent-skill"]},"audit":{"audit_score":85,"risk_level":"needs_review","risk_label":"Needs review","quality_score":74,"trust_score":84,"maintenance_score":100,"security_score":89,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":19.43,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"content-automation","title":"Content automation","url":"https://www.openagentskill.com/use-cases/content-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"marketing-growth","title":"Marketing and growth","url":"https://www.openagentskill.com/use-cases/marketing-growth"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"}],"install":"npx skills add aitytech/agentkits-marketing --skill marketing-psychology","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add aitytech-marketing-psychology","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"marketing-psychology\" agent skill from https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"marketing-psychology\" as a Claude Code skill from https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"marketing-psychology\" from https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-marketing-psychology\",\"task\":\"Install marketing-psychology\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology","github_repo":"aitytech/agentkits-marketing","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/aitytech-marketing-psychology","repository":"https://github.com/aitytech/agentkits-marketing/tree/main/skills/marketing-psychology","api":"/api/agent/skills/aitytech-marketing-psychology","install_api":"/api/skills/aitytech-marketing-psychology/install"},"meta":{"created_at":"2026-09-03T03:31:06.231114+00:00","updated_at":"2026-09-03T03:31:06.304249+00:00","agent_friendly":true}}