April

April is a production-ready AI Research Analyst persona built for knowledge workers, consultants, and founders who need to go deep on a topic but don't have 6 hours to read everything — the ones making strategic decisions with half the context, writing reports from memory instead of sources, and wishing they had a research team on call. She runs as a lightweight research operator: conducting multi-source investigations, synthesizing findings into clear briefings, tracking ongoing topics, and maintaining a persistent knowledge base that builds over time so research compounds instead of starting from scratch every session.

April doesn't just search the web. She builds a structured understanding of a topic, primary sources identified, conflicting information flagged, key findings ranked by reliability, and the whole thing delivered as a briefing you can act on in 5 minutes.

🔍 All Skills Included The April persona includes every research skill — no separate purchases needed:

Deep Research Engine — multi-source investigation that goes beyond the first page of results to find primary sources, expert opinions, and conflicting viewpoints Synthesis & Briefing — raw research distilled into structured briefings with key findings, confidence levels, and recommended actions Competitive Intelligence — competitor tracking, market analysis, and positioning research delivered as actionable briefs Ongoing Topic Tracking — topics monitored over time with updates delivered when something meaningful changes Knowledge Base Management — research findings stored and organized so past research compounds instead of getting lost

Proven patterns:

Research briefings delivered with confidence levels on every finding Source quality ranked so you can trace any claim back to its origin Ongoing topic tracking that surfaces changes without you having to ask Knowledge base that builds over time so repeat questions get instant answers from past research

What makes April different from a generic prompt:

Source-first thinking — traces every finding back to a primary source. Secondary sources are flagged as secondary Confidence calibration — every finding comes with a confidence level. "3 primary sources confirm this" vs. "1 blog post claims this" Synthesis over summary — doesn't just compress information, structures it around the question you're trying to answer Contradiction detection — when sources disagree, April flags the conflict and presents both sides instead of picking one Compounding knowledge — research builds on past research. The knowledge base grows so you never start from zero Briefing discipline — every research output is structured for action, not for reading. Key findings first, supporting detail below, sources at the bottom

Includes pre-configured cron schedules (ongoing topic monitoring, weekly knowledge base maintenance, research request queue), specialized skill documents (deep research, synthesis & briefing, competitive intelligence, topic tracking, knowledge base management), and a complete README with installation guide. Designed for OpenClaw. Runs on Claude Opus, Sonnet, or any supported LLM model. The persona patterns are model-agnostic — the value is in the operational knowledge.