Skill: georges91560/proof-engine (version 1.0.1)

--- name: proof-engine description: > Transforms every result [PRINCIPAL_NAME] achieves into deployable proof across all business domains. Captures P&L, agent performance, funnel revenue, testimonials, milestones, and media mentions. Converts raw data into compelling stories via the Storytelling Engine. Generates proof-based content ready for all platforms. Tracks a multi-channel financial dashboard. Scans high-potential business opportunities for 2026. Deploys proof automatically into funnels, brand, outreach, and VSL scripts. The credibility engine that makes everything else convert. version: 1.1.0 author: Wesley Armando (Georges Andronescu) license: MIT metadata: openclaw: emoji: "💎" security_level: L2 required_paths: read: - /workspace/proof/ - /workspace/brand/ - /workspace/CASHFLOW/ - /workspace/voice/ - /workspace/memory/ - /workspace/revenue/ - /workspace/content/ - /workspace/.learnings/ write: - /workspace/proof/vault/ - /workspace/proof/dashboard.json - /workspace/proof/stories/ - /workspace/proof/opportunities/ - /workspace/proof/content/ - /workspace/proof/AUDIT.md network_behavior: makes_requests: true request_targets: - https://api.telegram.org (Telegram Bot API — requires TELEGRAM_BOT_TOKEN) uses_agent_telegram: true requires.env: - TELEGRAM_BOT_TOKEN - TELEGRAM_CHAT_ID --- # Proof Engine — Credibility at Scale > "Nobody believes what you say. Everyone believes what you prove." This skill turns every result [PRINCIPAL_NAME] achieves — in any business, on any platform — into automated credibility that feeds every other skill. ``` ENGINE 1 — CAPTURE Collects proof from all business domains automatically Sources: trading, agents, funnels, content, clients, media ENGINE 2 — VAULT Structured storage with impact scoring Multi-channel financial dashboard — all revenue in one view ENGINE 3 — STORYTELLING Transforms raw data into compelling narratives Before → Trigger → Result → Mission arcs ready to deploy ENGINE 4 — CONTENT PROOF Generates proof-based content for all platforms Real numbers, real results — zero hype ENGINE 5 — OPPORTUNITY Scans high-potential business opportunities for 2026 Filter: digital, automatable, scalable, high-margin ENGINE 6 — DEPLOY Injects proof at the right moment into every other skill Funnels, brand, outreach, VSL, email sequences ``` --- ## ENGINE 1 — CAPTURE ### Proof Sources — All Business Domains ``` DOMAIN 1 — TRADING & CRYPTO Source: /workspace/CASHFLOW/ (crypto-executor output) Captures: Monthly P&L, win rate, max drawdown, best trade Format: { domain, date, metric, value, context, impact_score } Schedule: Daily auto-capture at 06h00 DOMAIN 2 — AI AGENTS & AUTOMATION Source: /workspace/ agent logs, AUDIT.md files Captures: Tasks automated, time saved, errors resolved autonomously, skills deployed, uptime percentage Format: { domain, date, task, outcome, hours_saved, impact_score } Schedule: Weekly auto-capture Monday 08h00 DOMAIN 3 — FUNNELS & DIGITAL SALES Source: /workspace/CASHFLOW/ funnel revenue data Captures: Revenue per funnel, conversion rates, leads generated, best-performing offer, email open rates Format: { domain, date, funnel, revenue, conversions, impact_score } Schedule: Weekly auto-capture Monday 08h00 DOMAIN 4 — CONTENT & AUDIENCE Source: /workspace/brand/AUDIT.md Captures: Follower milestones, viral posts, engagement rates, platform growth (Twitter, LinkedIn, Instagram, YouTube, TikTok) Format: { domain, platform, date, metric, value, impact_score } Schedule: Weekly auto-capture DOMAIN 5 — CLIENTS & TESTIMONIALS Source: Manual entry + /workspace/proof/vault/testimonials/ Captures: Written testimonials, video testimonials, client results, before/after transformations Format: { domain, date, client, result, quote, impact_score } Schedule: On-demand (manual trigger) DOMAIN 6 — PRODUCTS & DIGITAL ASSETS Source: Manual entry + revenue data Captures: Product sales, downloads, reviews, refund rate, revenue per product Format: { domain, date, product, sales, revenue, reviews } Schedule: Monthly auto-capture DOMAIN 7 — MEDIA & AUTHORITY Source: Manual entry Captures: Podcast appearances, press mentions, newsletter features, speaking invitations, partnership deals Format: { domain, date, source, type, reach, link } Schedule: On-demand (manual trigger) DOMAIN 8 — PARTNERSHIPS & COLLABS Source: Manual entry Captures: Deals signed, revenue generated, reach amplified, affiliate commissions Format: { domain, date, partner, type, outcome, revenue } Schedule: On-demand (manual trigger) ``` ### Impact Scoring System ``` IMPACT SCORE (1-10) — determines deployment priority Score 9-10 : HERO PROOF — deploy everywhere immediately Examples: First €10K month, 100K followers, viral post 1M+ views Score 7-8 : STRONG PROOF — deploy in funnels + brand Examples: Consistent €3K/month, testimonial with specific results Score 5-6 : SUPPORTING PROOF — deploy in content + outreach Examples: New tool working well, 10% conversion rate Score 3-4 : CONTEXT PROOF — use in nurture sequences Examples: Learning moment, process improvement, milestone progress Score 1-2 : ARCHIVE — store but don't deploy actively Examples: Small wins, early-stage data ``` ### Auto-Capture CLI ```bash # Capture from all domains python3 /workspace/proof/scripts/proof_manager.py capture --all # Capture specific domain python3 /workspace/proof/scripts/proof_manager.py capture \ --domain trading # Manual entry python3 /workspace/proof/scripts/proof_manager.py add \ --domain clients \ --metric testimonial \ --value "Client went from €0 to €2K/month in 6 weeks" \ --impact 8 ``` --- ## ENGINE 2 — VAULT & FINANCIAL DASHBOARD ### Vault Structure ``` /workspace/proof/vault/ ├── trading/ │ └── YYYY-MM.json ← Monthly P&L entries ├── agents/ │ └── YYYY-WW.json ← Weekly agent performance ├── funnels/ │ └── YYYY-MM.json ← Monthly funnel revenue ├── content/ │ └── YYYY-MM.json ← Monthly audience metrics ├── testimonials/ │ └── [client_id].json ← Individual testimonials ├── products/ │ └── [product_id].json ← Per-product metrics ├── media/ │ └── YYYY-MM.json ← Media mentions + appearances ├── partnerships/ │ └── [partner_id].json ← Partnership outcomes └── index.json ← Master index with impact scores ``` ### Multi-Channel Financial Dashboard ``` dashboard.json structure: { "period": "2026-03", "total_revenue": 0, "by_channel": { "trading": { "revenue": 0, "trend": "up/down/stable" }, "funnels": { "revenue": 0, "trend": "" }, "products": { "revenue": 0, "trend": "" }, "services": { "revenue": 0, "trend": "" }, "affiliates": { "revenue": 0, "trend": "" }, "content_monetization": { "revenue": 0, "trend": "" } }, "top_proof_items": [], "hero_proof": null, "last_updated": "" } ``` ### Dashboard CLI ```bash # View current dashboard python3 /workspace/proof/scripts/proof_manager.py dashboard # Update a channel python3 /workspace/proof/scripts/proof_manager.py dashboard \ --update funnels --revenue 3200 # Monthly summary python3 /workspace/proof/scripts/proof_manager.py dashboard \ --period monthly ``` --- ## ENGINE 3 — STORYTELLING ### The Proof-to-Story Framework ``` Every proof item can become a story. The story makes the proof human. ARC 1 — THE TRANSFORMATION ARC Before: "I was [struggling with X]" Trigger: "Then I [built/discovered/tried] Y" Result: "Now I [specific outcome with numbers]" Mission: "That's why I share this — so you can too" ARC 2 — THE SYSTEM ARC Problem: "Most people do X the hard way" System: "I built a system that [does X automatically]" Proof: "[Specific result] in [timeframe]" Offer: "Here's how to build yours" ARC 3 — THE MISTAKE ARC Mistake: "I spent €X / wasted X months on [thing]" Learning: "What I discovered was [insight]" Fix: "Now I do [new approach]" Result: "[Better outcome]" ARC 4 — THE MILESTONE ARC Context: "X months/weeks ago I [starting point]" Journey: "3 things that made the difference:" Today: "[Current milestone with numbers]" Next: "Where this is going" ARC 5 — THE PROOF ARC (for sales) Claim: "[Bold promise of the offer]" Skeptic: "You might be thinking [objection]" Proof: "[Specific result that addresses objection]" Bridge: "Here's exactly how [client/I] did it" ``` ### Story Generation ```bash # Generate story from a proof item python3 /workspace/proof/scripts/proof_manager.py story \ --proof-id trading_2026-03 \ --arc transformation \ --platform twitter # Generate VSL story (for voice-agent-pro-v3) python3 /workspace/proof/scripts/proof_manager.py story \ --proof-id funnels_2026-03 \ --arc system \ --platform vsl \ --output /workspace/voice/scripts/vsl_proof.md # Generate all stories from hero proof items python3 /workspace/proof/scripts/proof_manager.py story \ --filter-impact 8 \ --arc all ``` ### Story Output Format ``` Stories saved to /workspace/proof/stories/[arc]_[platform]_[date].md Each story includes: → Raw version (data-first, for personal-brand-builder) → Polished version (narrative, for content-creator-pro) → Ultra-short version (hook only, for TikTok/Twitter) → VSL version (spoken word, for voice-agent-pro-v3) ``` --- ## ENGINE 4 — CONTENT PROOF ### Proof-Based Content Generation ``` PRINCIPLE : Every piece of content should be anchored in real proof. Not "here's how to make money" but "here's how I made €X — step by step" CONTENT TYPES generated from proof: THREAD (Twitter/X) Hook: The result (number-first) Body: The 5-7 steps that led to the result Proof: Screenshot reference or specific metric Close: What to do if you want the same CAROUSEL (Instagram/LinkedIn) Slide 1: Bold result claim Slides 2-6: The system breakdown Slide 7: Before vs After visual Slide 8: CTA REEL SCRIPT (Instagram/TikTok) 0-3s: "I [result] in [timeframe] — here's how" 3-30s: The 3 key moves 30-45s: The proof moment 45-60s: CTA EMAIL (for funnel sequences) Subject: "[Result] — what actually happened" Body: Story arc + proof + lesson + soft CTA VSL SEGMENT (for voice-agent-pro-v3) Opening: The biggest result Story: Full transformation arc Proof: Multiple stacked evidence points Offer: Natural transition to the solution ``` ### Content Generation CLI ```bash # Generate thread from best proof python3 /workspace/proof/scripts/proof_manager.py content \ --type thread \ --domain trading \ --platform twitter # Generate carousel from testimonial python3 /workspace/proof/scripts/proof_manager.py content \ --type carousel \ --domain testimonials \ --platform instagram # Generate full content batch (all formats, top proof items) python3 /workspace/proof/scripts/proof_manager.py content \ --batch \ --filter-impact 7 ``` --- ## ENGINE 5 — OPPORTUNITY SCANNER ### High-Potential Business Opportunities 2026 ``` FILTER CRITERIA ✅ Digital-first (no physical inventory) ✅ Automatable with AI agents ✅ Scalable without linear time input ✅ High margin (> 60%) ✅ Proven demand in 2025-2026 ✅ Achievable with Wesley's current skills stack OPPORTUNITY CATEGORIES CAT 1 — AI-POWERED SERVICES (very high potential) AI Agent as a Service (AaaS) → Build custom OpenClaw agents for businesses → €500-5K per setup + €200-500/month maintenance → Demand: exploding in 2026 → Wesley's edge: already does it for himself Automated Content Agency → content-creator-pro + voice-agent-pro-v3 as a service → €1K-3K/month per client for automated content → Wesley's edge: full stack already built AI Automation Consulting → Audit business processes, deploy agents → €2K-10K per project → Wesley's edge: proven results with his own systems CAT 2 — DIGITAL PRODUCTS (passive + scalable) Trading Signal Newsletter (paid) → agent-shark-mindset signals monetized → €29-99/month per subscriber → 100 subscribers = €3K-10K/month recurring → Wesley's edge: real signals, real performance data AI Automation Course / Program → "Build Your First Agent" or "Autonomous Wealth System" → €297-997 one-time or €97/month → funnel-builder already set up → Wesley's edge: documented real results Prompt & Agent Template Marketplace → Sell proven OpenClaw skill packages → €47-197 per template bundle → Wesley's edge: proven skills already built CAT 3 — COMMUNITY & MEMBERSHIP Private Community (Discord/Telegram) → "Autonomous Wealth" inner circle → €47-97/month per member → 50 members = €2.5K-5K/month recurring → Content: weekly agent insights + signals + strategies Mastermind / Coaching Group → High-ticket: €500-2K/month per person → 10 members = €5K-20K/month → Wesley's edge: real P&L, real systems, proof-first CAT 4 — AFFILIATE & PARTNERSHIPS AI Tools Affiliation → OpenClaw, ElevenLabs, Systeme.io, trading platforms → 20-40% recurring commission → €500-2K/month with audience of 5K+ → Wesley's edge: authentic user + documented results White-Label Agent Solutions → License Wesley's agent stack to other operators → Revenue share model → Wesley's edge: proven infrastructure ``` ### Opportunity Scoring ``` Each opportunity scored on: Alignment with Wesley's skills (1-10) Time to first revenue (1-10, higher = faster) Scalability potential (1-10) Automation level (1-10) Market demand 2026 (1-10) → TOTAL SCORE / 50 Top opportunities updated quarterly in: /workspace/proof/opportunities/ranked_2026.json ``` ### Opportunity CLI ```bash # View ranked opportunities python3 /workspace/proof/scripts/proof_manager.py opportunities \ --action view \ --filter-score 35 # Add new opportunity python3 /workspace/proof/scripts/proof_manager.py opportunities \ --action add \ --name "AI Agent as a Service" \ --category ai-services \ --score 42 # Generate opportunity report python3 /workspace/proof/scripts/proof_manager.py opportunities \ --action report ``` --- ## ENGINE 6 — DEPLOY ### Proof Injection Points ``` FUNNEL-BUILDER → Hero proof → landing page headline → Testimonials → social proof section → P&L data → credibility block → Auto-inject on funnel_builder audit trigger PERSONAL-BRAND-BUILDER → All proof items → /workspace/brand/proof/ sync → Hero proof → pinned post candidate → Milestone proof → "Month X update" content → Auto-sync weekly Sunday 20h00 ACQUISITION-MASTER → Testimonials → outreach credibility line → Revenue proof → "as someone who [result]..." hook → Media mentions → authority signal in cold outreach → Auto-inject on outreach sequence generation VOICE-AGENT-PRO-V3 → Story arcs → VSL scripts in /workspace/voice/scripts/ → Hero proof → call script credibility moment → Testimonials → social proof in call flow → Auto-generate VSL segment weekly CONTENT-CREATOR-PRO → Proof items → content briefs with real data → Story arcs → long-form content outlines → Milestone proof → monthly update post → Auto-brief daily before content generation ``` ### Deploy CLI ```bash # Deploy all hero proof (impact 8+) across all skills python3 /workspace/proof/scripts/proof_manager.py deploy \ --filter-impact 8 \ --targets all # Deploy to specific skill python3 /workspace/proof/scripts/proof_manager.py deploy \ --proof-id testimonials_001 \ --target funnel-builder # Weekly full deploy python3 /workspace/proof/scripts/proof_manager.py deploy \ --action weekly-sync ``` --- ## Autonomous Operations ### Daily Routine ``` 06h00 — Auto-capture trading domain → Read /workspace/CASHFLOW/TRACKING/tracker_state.json → Extract P&L, compute impact score → Update dashboard.json → If new hero proof (score 8+) → Telegram alert to principal 08h00 — Morning proof brief → Summary of proof vault status → Top 3 deployable proof items today → Telegram: "💎 Proof Brief — [X] items ready to deploy" ``` ### Weekly Routine ``` Monday 08h00 — Full capture all domains → Agents performance, funnels, content metrics → Update dashboard.json with weekly totals → Score all new items Monday 09h00 — Story generation → Generate stories from new proof items (score 7+) → Save to /workspace/proof/stories/ Sunday 20h00 — Weekly deploy sync → Push proof to personal-brand-builder vault → Generate VSL segment if new hero proof → Brief acquisition-master with latest social proof → Telegram: "💎 Weekly Proof Sync — [X] items deployed" ``` ### Monthly Routine ``` 1st of month 07h00 — Monthly dashboard → Consolidate all channels revenue → Generate monthly story (transformation arc) → Flag new opportunities based on monthly performance → Telegram: "📊 Monthly Dashboard — Total: €X across [N] channels" ``` ### CLI Usage ```bash # Full status python3 /workspace/proof/scripts/proof_manager.py status # Morning brief python3 /workspace/proof/scripts/proof_manager.py morning-brief # Weekly sync (all engines) python3 /workspace/proof/scripts/proof_manager.py weekly-sync # View top proof items python3 /workspace/proof/scripts/proof_manager.py vault \ --filter-impact 7 \ --sort date ``` --- ## Integration Map ``` proof-engine reads FROM: crypto-executor → /workspace/CASHFLOW/TRACKING/ agent-shark-mindset → /workspace/CASHFLOW/ASSETS/ funnel-builder → /workspace/CASHFLOW/ personal-brand-builder → /workspace/brand/AUDIT.md revenue-tracker → /workspace/revenue/ proof-engine writes TO: personal-brand-builder → /workspace/brand/proof/ funnel-builder → proof items for landing pages voice-agent-pro-v3 → /workspace/voice/scripts/ (VSL) content-creator-pro → proof briefs for content acquisition-master → social proof for outreach ``` --- ## Setup & Bootstrap ### What You Need ``` MINIMUM (all engines work without API keys): → Run proof_manager.py init → All engines operate on local files only → Telegram for notifications (already in agent .env) AGENT ALREADY HAS: TELEGRAM_BOT_TOKEN → already in agent .env TELEGRAM_CHAT_ID → already in agent .env ``` ### Bootstrap Checklist ``` [ ] python3 proof_manager.py init [ ] python3 proof_manager.py capture --all (first capture) [ ] python3 proof_manager.py dashboard (verify dashboard) [ ] python3 proof_manager.py opportunities --action view [ ] Add first testimonial manually (if available) [ ] python3 proof_manager.py status [ ] Schedule crons (see below) ``` ### Cron Schedule ``` # Daily trading capture — 06h00 0 6 * * 1-5 proof-engine → capture --domain trading # Morning proof brief — 08h00 0 8 * * 1-5 python3 proof_manager.py morning-brief # Weekly full capture — Monday 08h00 0 8 * * 1 python3 proof_manager.py capture --all # Weekly story generation — Monday 09h00 0 9 * * 1 python3 proof_manager.py story --filter-impact 7 --arc all # Weekly deploy sync — Sunday 20h00 0 20 * * 0 python3 proof_manager.py deploy --action weekly-sync # Monthly dashboard — 1st of month 07h00 0 7 1 * * python3 proof_manager.py dashboard --period monthly ``` --- ## Files Written By This Skill | File | Frequency | Content | |---|---|---| | `/workspace/proof/vault/*/` | Daily/Weekly | Proof items by domain | | `/workspace/proof/dashboard.json` | Daily | Multi-channel revenue dashboard | | `/workspace/proof/stories/*.md` | Weekly | Generated story arcs | | `/workspace/proof/content/*.md` | Weekly | Proof-based content briefs | | `/workspace/proof/opportunities/ranked_2026.json` | Quarterly | Opportunity rankings | | `/workspace/proof/AUDIT.md` | Daily | Capture + deploy log | | `/workspace/.learnings/LEARNINGS.md` | Weekly | What proof converts best | --- ## Workspace Structure ``` /workspace/proof/ ├── dashboard.json ← Multi-channel financial dashboard ├── vault/ │ ├── index.json ← Master index with impact scores │ ├── trading/ ← P&L entries │ ├── agents/ ← Agent performance │ ├── funnels/ ← Funnel revenue │ ├── content/ ← Audience metrics │ ├── testimonials/ ← Client testimonials │ ├── products/ ← Product metrics │ ├── media/ ← Press, podcasts, mentions │ └── partnerships/ ← Partnership outcomes ├── stories/ ← Generated story arcs ├── content/ ← Proof-based content briefs ├── opportunities/ │ └── ranked_2026.json ← Scored business opportunities ├── references/ │ └── storytelling.md ← Storytelling frameworks reference └── AUDIT.md ← Daily log ``` --- ## Constraints ``` ❌ Never fabricate proof — only real, verifiable data ❌ Never deploy proof with impact score < 5 in hero positions ❌ Never share client testimonials without explicit consent ❌ Never use proof from other people's businesses without permission ✅ Always timestamp every proof item at capture ✅ Always log every deploy action to AUDIT.md ✅ Always notify principal via Telegram when hero proof captured ✅ Cross-check with personal-brand-builder before deploying to brand ✅ If vault empty → prompt principal to add first proof items ``` --- ## Error Handling ``` ERROR: /workspace/CASHFLOW/ not found (crypto-executor not running) Action: Skip trading capture, log to ERRORS.md Notify: "Trading data unavailable — is crypto-executor running?" ERROR: Vault empty on first run Action: Run init, create folder structure, prompt manual entry Notify: "Proof vault initialized — add your first proof item" ERROR: Story generation with no proof items Action: Generate template stories with [PLACEHOLDER] data Log: "Story generated with placeholders — add real proof" ERROR: Deploy target skill files not found Action: Log which skills are missing, skip gracefully Notify: "Deploy skipped for [skill] — skill not installed" ```


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)