What problem does it solve?
Manual deep research is often inconsistent, time-consuming, and lacks the rigor, traceability, and structured conclusions needed to support high-stakes decisions. This Skill eliminates those gaps by automating the entire research pipeline from scope definition to final report delivery, ensuring all outputs are complete, deeply analytical, and fully credible.
Core Features & Use Cases
- End-to-End Automated Research Pipeline: Handles the full workflow automatically after initial scope confirmation, including multi-source information search, credibility screening, root cause causal analysis, recursive saturation verification, and structured report generation, with only 1-sentence non-interruptive progress updates during execution.
- Flexible Output Formats: Supports 5 tailored output types to match different decision needs: full detailed reports, 1-page executive briefs, slide decks with Mermaid outlines, mind maps, and decision memos with key evidence, confidence scores, and reversal conditions.
- Built-In Quality Guardrails: Enforces source attribution for all factual claims, confidence scoring for findings, automatic contradiction resolution, fallback strategies for information gaps, and mandatory challenge of top conclusions to avoid confirmation bias.
- Use Case Example: An investor needs to evaluate the long-term viability of public renewable energy ETFs in the Chinese market to make a portfolio allocation decision; using this Skill replaces 3+ days of manual research with a structured, evidence-backed report including actionable recommendations and key uncertainty assessments in under an hour.
Quick Start
Use the research-report skill to analyze the competitive landscape of small business CRM tools in Southeast Asia, with a focus on pricing strategies and user satisfaction gaps, and output an executive brief to support a product expansion decision.
