Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Produces structured decision reports by collecting information from user-provided attachments and URLs, then building a full logical argument with Mermaid tree diagrams, MECE-based breakdowns, and inline citations. Reports include detailed narration, key data, and a minimum of 50 references.
Forces a complete closed-loop argument with mandatory citation counts and minimum word depth, reducing the risk of undocumented or partially-reasoned decisions.
When to use it
- Documenting the reasoning behind a major editorial or product decision
- Generating a sourced investment thesis from research attachments
- Auditing a decision chain for internal review or compliance
- Turning a pile of research URLs into a single coherent decision memo
- Producing a structured breakdown of competing strategic options
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Analyze these three research reports and recommend which market to enter next
- 1Reads all attached wiki files and reports in parallel
- 2Identifies and scrapes up to five critical URLs found within the documents
- 3Builds a Mermaid tree diagram showing two layers of sub-task conclusions leading to the final recommendation
- 4Writes a 10,000+ word narrative with the MECE breakdown logic, key insights, and 50+ inline citations
- 5Saves the report via create_wiki_document and submits it via submit_result
A complete decision report with tree diagram, sourced argumentation, and a numbered reference list