MindFluence
Health Pass
- License — License: GPL-3.0
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 30 GitHub stars
Code Warn
- Code scan incomplete — No supported source files were scanned during light audit
Permissions Pass
- Permissions — No dangerous permissions requested
No AI report is available for this listing yet.
An AI prompt-skill that turns 20 cognitive biases into high-converting marketing copy. Includes playbooks for ads, landing pages, email sequences, social posts, webinars, and product launches. Language-agnostic. Works with any LLM.
MindFluence
[ English | Русский ]
Persuasion engineered through psychology, not manipulation.
An AI prompt-skill that turns 20 cognitive biases into high-converting marketing copy - for any language, any platform, any audience.
What is this?
MindFluence is a system prompt (skill) for LLMs - GPT, Claude, Gemini, DeepSeek or any capable model. It transforms the AI into a marketing strategist who understands why humans click, read, and buy - not just what to write.
It's built on decades of research in behavioral economics and evolutionary psychology: Kahneman's two systems, Cialdini's principles, Munger's psychological misjudgments, Festinger's cognitive dissonance - distilled into actionable copywriting instructions.
How it works
- Load
SKILL.mdas a system prompt into any LLM. - Give a task: "Write a LinkedIn post about..." / "Create a landing page for..." / "Audit this ad for cognitive biases."
- Get output with every bias labeled, every decision explained, every word psychologically justified.
Two modes:
- Quick Mode (default) - minimal input, immediate output. The AI picks the best biases automatically.
- Deep Mode - the AI asks clarifying questions about audience, platform, tone, and desired action before generating.
The 20 Cognitive Biases
| # | Bias | Category | Marketing Use |
|---|---|---|---|
| 1 | Social Proof / Bandwagon | Social | "Join 10,000+ who already..." |
| 2 | Anchoring | Optimizer | Show expensive option first; everything else seems cheap |
| 3 | Framing | Filter | Same fact, opposite reaction - depending on wording |
| 4 | Appeal to Authority | Social | Cite Harvard, Forbes, domain experts |
| 5 | Fear / Loss Aversion | Filter + Social | "You're losing $X/day. Here's the fix." |
| 6 | Availability Heuristic | Optimizer | Vivid stories beat statistics every time |
| 7 | Confirmation Bias | Filter | Tell people they were right; they'll love you |
| 8 | Cognitive Dissonance | Filter + Optimizer | Surface contradictions → offer resolution through your product |
| 9 | Survivorship Bias | Optimizer | Show winners; acknowledge they're the best outcomes |
| 10 | Endowment Effect | Optimizer | Free trials = they already "own" it = cancelling hurts |
| 11 | Fundamental Attribution Error | Social | Blame the system, not the customer |
| 12 | Sunk Cost Fallacy | Optimizer | "You've already read 3,000 words. Last step." |
| 13 | Status Quo Bias | Filter | "Works with what you already have. No migration needed." |
| 14 | False Consensus Effect | Social | "Everyone secretly thinks this. We say it out loud." |
| 15 | In-Group Favoritism | Social | "For people like us..." - instant belonging |
| 16 | Halo Effect | Optimizer | Beautiful design = trustworthy product |
| 17 | Hindsight Bias | Optimizer | "We predicted this in 2022. Here we are." |
| 18 | Backfire Effect | Filter | Never correct - reframe. "Yes, AND..." |
| 19 | Bias Blind Spot | Filter | "Smart people know biases apply to THEM too." |
| 20 | Group Polarization | Social | Communities don't moderate - they amplify. Build one. |
Tone-of-Voice Switcher
Every output is tagged with one of 5 styles (or a hybrid):
| Style | Voice | Best for |
|---|---|---|
bold-sell |
Aggressive, urgent, punchy | Flash sales, DTC, launches |
expert-calm |
Intellectual, measured, data-rich | B2B, SaaS, consulting |
rebel-edgy |
Disruptive, contrarian | Youth brands, challengers, creators |
warm-human |
Empathetic, story-driven | Health, coaching, community |
luxe-minimal |
Polished, sparse, high-status | Premium, luxury, design |
Bias Combinations
Some biases multiply when combined:
| Combo | Biases | Use for |
|---|---|---|
| Trust Spiral | Authority → Social Proof → Confirmation → Endowment | Landing pages, sales pages |
| Urgency Engine | Fear → Loss Aversion → Social Proof → Scarcity | Flash sales, launches |
| Loyalty Loop | Confirmation → In-Group → Sunk Cost → Status Quo | Retention, upsells |
| Conversion Chain | Availability → Framing → Anchoring → Social Proof → Risk Reversal | Ads, free-to-paid |
Decision Matrix
The skill doesn't guess which biases to use. decision-matrix.md provides a lookup table:
- Audience temperature (cold / warm / hot / lapsed / skeptical) → bias priority
- Product type (low-B2C, high-B2C, B2B SaaS, info-products, health, community) → dominant biases
- Platform constraint (Twitter, LinkedIn, Instagram, email, landing page, webinar) → allowed & forbidden biases
- Step-by-step flow: audience → product → platform → combine → validate
- Quick-lookup table for 18 common tasks with pre-computed bias stacks
Anti-Patterns
anti-patterns.md catches the 12 most common ways AI gets cognitive-bias copy wrong - each with the failing output, the psychological reason it fails, the concrete fix, and a rule to follow:
| # | Anti-Pattern | Example Failure |
|---|---|---|
| 1 | Vague Social Proof | "Thousands of satisfied customers" |
| 2 | Fear Without an Exit | Threat with no immediate solution |
| 3 | Framing Without Anchoring | "This is a revolution" - no reference point |
| 4 | Authority Without Proof | "Studies show..." - no source, no year |
| 5 | Transactional Reciprocity | "Free ebook! Now buy." - gift and pitch in same breath |
| 6 | Fake Scarcity | Countdown timers that reset on reload |
| 7 | Premature Sunk Cost | "You've come this far" - in the first paragraph |
| 8 | Empty In-Group | "Like-minded people" - no shared identity |
| 9 | Wrong-Source Halo | "As seen on Forbes" - audience doesn't respect Forbes |
| 10 | Insulting Confirmation | "Most people are wrong" - makes reader defensive |
| 11 | Abstract Availability | "Imagine struggling" - no concrete sensory details |
| 12 | Blaming Dissonance | "You say X but do Y" - blames the reader, not the system |
Includes an audit checklist - scan any output in 30 seconds before delivering.
What's inside
mindfluence/
├── SKILL.md ← Main instruction. 20 biases, methodology, tone-of-voice, ethics, output format.
├── decision-matrix.md ← Audience × product × platform → bias priority map. Eliminates guesswork.
├── anti-patterns.md ← 12 common AI copywriting failures + concrete fixes + audit checklist.
├── scenarios/ ← Task-specific playbooks (11 scenarios)
│ ├── product-launch.md ← Pre-launch → launch day → post-launch bias sequences
│ ├── social-media-post.md ← X, LinkedIn, Instagram, Telegram, TikTok patterns
│ ├── landing-page.md ← Full page bias map - hero to footer, section by section
│ ├── email-sequence.md ← Welcome, nurture, cart abandonment, re-engagement
│ ├── webinar-warmup.md ← Registration → live event (minute-by-minute) → post-webinar
│ ├── ad-campaign.md ← Video, search, social, retargeting + A/B testing framework
│ ├── sales-page.md ← Long-form sales page - 12-section psychological arc for high-ticket
│ ├── case-study.md ← 6-part success story structure (situation → result → CTA)
│ ├── pricing-page.md ← Anchoring architecture, decoy engineering, localization psychology
│ ├── cold-outreach.md ← 5-line rule for cold email/DM - no trust, no social proof
│ └── crisis-response.md ← 6-part apology structure - defensive bias engineering
├── examples/ ← Annotated outputs showing the skill in action
│ ├── social-post.md ← LinkedIn post for freelancers (7 biases dissected)
│ ├── landing-hero.md ← Hero section for premium meal delivery
│ ├── ad-script.md ← 30s video ad for language app
│ ├── email-welcome.md ← SaaS welcome email
│ └── longform-article.md ← Article intro with full bias analysis
└── README.md
Example
Request: "Write a LinkedIn post about why freelancers undercharge."
Output: (annotated with [TONE], [BIASES ENGAGED], [TARGET ACTION], and [RATIONALE])
[TONE: warm-human × expert-calm]I lost $23,000 before I understood this.
For 3 years, I charged clients based on what "felt right"...
→ [full example in examples/social-post.md]
Ethical Boundaries
Always:
- Use biases to get attention for genuinely valuable products
- Be transparent about what your product does and doesn't do
- Use factual, verifiable social proof
Never:
- Create false scarcity
- Fabricate testimonials or reviews
- Exploit fear to sell solutions that don't solve the fear
- Reinforce harmful beliefs
- Target vulnerable populations
The line: Would the customer, with full information and time to reflect, still choose your product? Yes = persuasion. No = manipulation.
Getting Started
Quick start (any LLM)
- Copy the contents of
SKILL.md - Paste as a system prompt / custom instructions
- Type: "Write a post about [topic] for [audience] on [platform]"
With OpenCode (native)
Place the mindfluence/ folder into .opencode/skills/ (project) or ~/.config/opencode/skills/ (global). OpenCode auto-discovers SKILL.md via its frontmatter - no extra config needed. The skill activates when you ask for marketing copy, ads, landing pages, emails, or launch content.
With Claude Code
Copy SKILL.md into your project as CLAUDE.md, or place the full mindfluence/ folder under ~/.claude/skills/.
As a Custom GPT / Claude Project
Upload SKILL.md as the system prompt. Add decision-matrix.md, anti-patterns.md, and files from scenarios/ and examples/ to the knowledge section for full context.
With any other LLM agent (Cursor, Windsurf, Copilot, Cline, Aider, etc.)
Copy the contents of SKILL.md into that agent's instruction file (.cursorrules, .windsurfrules, .github/copilot-instructions.md, .clinerules, CONVENTIONS.md, etc.). The prompt content is platform-agnostic - only the file name changes.
Requirements
- Any capable LLM with a system prompt / custom instructions field (GPT, Claude, Gemini, DeepSeek, open-source models)
- For full skill functionality (decision matrix, anti-patterns, scenarios, examples): a skill system that loads files from a folder (OpenCode, Claude Code). For other agents, copy
SKILL.mdas a standalone prompt - it contains the complete core methodology. - No API keys, no tools, no dependencies - pure prompt engineering
- Works in any language; adapts cultural references to the target market
Why "mindfluence"?
mind (the brain - cognitive biases live here) + influence (what persuasion actually does - shapes decisions without force).
License
MIT - use freely in commercial and non-commercial projects.
GitHub Description
An AI prompt-skill that turns 20 cognitive biases into high-converting marketing copy. Includes playbooks for ads, landing pages, email sequences, social posts, webinars, launches, sales pages, case studies, pricing pages, cold outreach, and crisis response. Language-agnostic. Works with any LLM.
GitHub Tags
prompt-engineering cognitive-biases marketing copywriting behavioral-economics psychology ai-prompts llm-skills persuasion neuromarketing conversion-optimization content-strategy system-prompt gpt claude
Reviews (0)
Sign in to leave a review.
Leave a reviewNo results found