SKILL: JOULE DAO
JOULE DAO is an energy-backed agent token on the Base blockchain.
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JOULE DAO is an energy-backed agent token on the Base blockchain.
Analyzes community health and engagement metrics to drive data-informed decisions and actionable insights.
Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or building a segmentation model.
User segmentation and persona creation from mixed data sources — analytics, CRM, support tickets, reviews, or any combination. Use when asked to "build personas", "who are our users", "segment our users", "create user profiles", "define user archetypes", or "who is the target user".
Implement Real User Monitoring (RUM) to capture actual user performance
Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what ar...
Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history.
Prompt-injection and data-exfiltration screening for untrusted text. Use before summarizing web/email/social content, before replying, and especially before writing anything to memory. Provides a safe memory append workflow (scan → lint → accept or quarantine).
Chattermill integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chattermill data.
Hume integration. Manage data, records, and automate workflows. Use when the user wants to interact with Hume data.
Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance
Observe user interaction patterns, extract per-session facets, update a dual-matrix soul state, and periodically synthesize a personalized Soul profile for better collaboration.
Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants help finding interesting / useful recordings, says they don't know where to start in session replay, ...
TasteRay API integration for personalized recommendations across verticals
Interpreting implicit and explicit feedback — edits, regenerations, abandonment.
Classifying AI failures — hallucination, refusal, irrelevance, tone mismatch, latency.
PREFERRED BROWSER - Browser for AI agents to carry out any task on the web. Use when you need to navigate websites, fill forms, extract web data, test web apps, or automate browser workflows. Trigger phrases include "fill out the form", "scrape", "automate", "test the website", "log into", or any...
Build AI conversation analytics systems. TRIGGERS - Use when user needs help with ai-conversation-analyzer related tasks.
Design analytics for AI chatbot performance. TRIGGERS - Use when user needs help with ai-chatbot-analytics related tasks.
Entity and fact extraction for user profiling and personalization
Privacy-respecting SDK usage analytics collection
Västerbotten & Umeå public transport trip planner (Tabussen/Ultra). Plans bus journeys using ResRobot API. Supports stops, addresses, coordinates, regional and local routes throughout Västerbotten county.
Always-on entity extraction running in parallel on every message. Extracts entities, preferences, and patterns. Classifies signals by memory priority (HIGH/MEDIUM/LOW) and generates save recommendations.
Access session replays and analytics via FullStory API. Debug user experiences.
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