Skill: jcools1977/opencrawl (version 1.0.0)

--- name: convoyield description: > Conversational Yield Optimization Engine — treats every bot conversation as a yield-bearing financial instrument. Five zero-cost engines detect sentiment arbitrage, micro-conversions, engagement momentum, dollar-value yield forecasts, and optimal strategic plays in real-time. No external APIs. No dependencies. Pure behavioral economics applied to conversations. version: 1.0.0 author: J. DeVere Cooley homepage: https://github.com/jcools1977/Opencrawl metadata: openclaw: emoji: "📈" requires: bins: - python os: ["macos", "linux", "windows"] tags: - revenue - optimization - behavioral-economics - zero-cost - sentiment - conversion platforms: ["discord", "telegram", "whatsapp", "slack", "webchat"] cost: free requires_api: false --- # ConvoYield — Conversational Yield Optimization Engine > "Every conversation is a financial instrument. ConvoYield tells you what it's worth." ## What It Does ConvoYield gives any bot a **real-time revenue intelligence layer**. On every user message, five engines run in parallel and produce: - **Sentiment Arbitrage** — Detects emotional gaps that create revenue opportunities (frustration capture, competitor displacement, excitement amplification, etc.) - **Micro-Conversion Tracking** — Finds 12 types of hidden value in every message (email captures, budget reveals, pain points, referral signals, etc.) - **Momentum Scoring** — Measures whether the conversation is gaining or losing steam - **Yield Forecasting** — Predicts the total dollar value of the conversation in real-time - **Play Calling** — Recommends from a 20-play behavioral economics playbook (anchoring, loss framing, social proof, empathy bridges, urgency closes, etc.) ## Zero Cost Guarantee - **Zero external dependencies** — Pure Python standard library - **Zero API calls** — All analysis runs locally via pattern matching and heuristics - **Zero tokens consumed** — Does not call any LLM API - **Zero infrastructure** — `pip install` and go - **<1ms per message** — Adds no latency to your bot ## Quick Start ```python from convoyield import ConvoYield engine = ConvoYield(base_conversation_value=50.0) # Process each user message result = engine.process_user_message("I'm frustrated with Salesforce, it's way too expensive") print(result.recommended_play) # "competitor_displacement" print(result.estimated_yield) # 89.50 print(result.recommended_tone) # "empathetic" print(result.top_arbitrage.type) # "frustration_capture" print(result.risk_level) # 0.21 # Record bot response for full state tracking engine.record_bot_response("I hear you. What specifically isn't working?") # Next message — yield COMPOUNDS result = engine.process_user_message("The reporting is terrible and costs $500/month") print(result.estimated_yield) # 142.30 — value is growing! ``` ## The Five Engines ### 1. Sentiment Arbitrage Engine Detects 7 arbitrage patterns via lexicon-based sentiment scoring tuned for commercial conversations: | Pattern | What It Detects | Value Signal | |---------|----------------|--------------| | `competitor_displacement` | Frustration with a named competitor | $45+ | | `frustration_capture` | General frustration with current solution | $35+ | | `excitement_amplification` | User showing enthusiasm | $25+ | | `uncertainty_anchoring` | User unsure, needs guidance | $20+ | | `urgency_premium` | Time pressure detected | $30+ | | `social_proof_hunger` | User seeking validation | $15+ | | `budget_value_stack` | User discussing budget/cost | $40+ | ### 2. Micro-Conversion Tracker Detects 12 micro-conversion opportunities between "hello" and "purchase": - Email/phone capture opportunities - Budget and timeline reveals - Team size and need statements - Competitor mentions and feature requests - Referral and testimonial signals - Pain point articulations Each micro-conversion has an estimated dollar value ($0.50-$15). ### 3. Momentum Scorer Scores engagement momentum (-1.0 to +1.0) using four signals: - Message length trend (expanding = engaged) - Question frequency trend (asking = curious) - Emotional intensity trend (feeling = invested) - Vocabulary richness trend (elaborating = committed) Labels: `surging` | `accelerating` | `stable` | `declining` | `hemorrhaging` ### 4. Yield Forecaster Combines all signals to predict a dollar value for the conversation using: - Phase multipliers (OPENING → DISCOVERY → ENGAGEMENT → NEGOTIATION → CLOSING) - Micro-conversion portfolio value - Arbitrage opportunity value - Engagement and momentum premiums - Risk assessment (0.0-1.0) ### 5. Play Caller Recommends from 20 plays inspired by behavioral economics: `warm_handshake` · `pattern_interrupt` · `deep_probe` · `empathy_bridge` · `value_stack` · `competitor_displacement` · `social_proof_deploy` · `dopamine_ride` · `anchoring` · `loss_framing` · `budget_reframe` · `choice_architecture` · `assumptive_close` · `urgency_close` · `soft_close` · `momentum_recovery` · `save_attempt` · `upsell_bridge` · `referral_harvest` · `objection_reframe` ## Integration Works with any bot framework — hook into your message handler: ```python from convoyield import ConvoYield engine = ConvoYield() def on_user_message(text, conversation_id): result = engine.process_user_message(text) # Shape your bot's response using: # result.recommended_play → WHAT strategy to use # result.recommended_tone → HOW to say it # result.arbitrage_opportunities → WHERE the money is # result.micro_conversions → WHAT value to capture # result.risk_level → HOW careful to be # result.estimated_yield → HOW much is at stake return generate_response(text, result) ``` ## Premium Playbooks Four industry-specific playbook packs available: | Playbook | Plays | Price | |----------|-------|-------| | SaaS Sales Mastery | 25 | $49/mo | | E-Commerce Revenue Max | 22 | $39/mo | | Real Estate Closer | 20 | $79/mo | | Healthcare Engagement | 18 | $99/mo | ## Revenue Model ConvoYield is free and open source. Revenue comes from: 1. **Premium playbooks** — Industry-specific play packs ($39-99/mo) 2. **Cloud analytics** — Dashboard and yield tracking ($0/49/299/mo tiers) 3. **Enterprise** — Custom playbooks, webhooks, white-label ($299/mo) ## Architecture ``` convoyield/ ├── orchestrator.py # Main ConvoYield engine ├── engines/ │ ├── sentiment_arbitrage.py # 7 arbitrage pattern detectors │ ├── micro_conversion.py # 12 micro-conversion trackers │ ├── momentum.py # 4-signal engagement scorer │ ├── yield_forecaster.py # Dollar-value yield prediction │ └── play_caller.py # 20-play behavioral economics playbook ├── models/ │ ├── conversation.py # ConversationState, Turn, Phase │ └── yield_result.py # YieldResult, ArbitrageOpportunity ├── playbooks/ # 4 premium industry packs (85 plays) ├── coin/ # ConvoCoin — Proof-of-Yield blockchain └── cloud/ # Telemetry client for analytics ``` ## Tests 40 tests across 7 suites — all passing: ```bash python -m pytest tests/ -v ```

path: convoyield/cloud/__init__.py
content: from convoyield.cloud.telemetry import Telemetry


path: convoyield/coin/network/__init__.py
content: """
ConvoCoin P2P Network — Decentralized node communication.

Nodes discover each other, share blocks and transactions,
and reach consensus on the longest valid chain.
"""


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