A high-performance AI agent skill for generating exhaustive, logic-mapped decision reports based on complex document synthesis and web scraping.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chief-editor-desicion
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install chief-editor-desicion using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Chief Editor Decision Agent?
The Chief Editor Decision skill is a specialized agent capability designed to close the loop on complex logical argumentation. By synthesizing data from provided attachments and supplementary web scraping, this skill allows an agent to function as a senior-level editor capable of making and justifying high-stakes decisions. It is a vital part of the Openclaw Skills ecosystem for users needing rigorous, data-backed documentation that adheres to the MECE (Mutually Exclusive, Collectively Exhaustive) principle.
This skill is engineered to produce massive, high-utility outputs, including long-form reports exceeding 10,000 words and detailed Mermaid tree diagrams. It ensures every claim is backed by precise, URL-based citations, moving beyond simple summaries to provide a deep-dive analysis suitable for corporate, technical, or research-heavy environments.
Chief Editor Decision Agent Use Cases
- Creating comprehensive technical due diligence reports from fragmented project logs and wikis.
- Developing market analysis papers that require cross-referencing internal data with external web sources.
- Generating exhaustive academic or industrial research documents with 50+ verified inline citations.
- Visualizing complex organizational decisions through multi-layer Mermaid logic diagrams.
How Chief Editor Decision Agent Works
- The agent initiates by reading all provided wiki documents, logs, and attachments in a single parallel tool call.
- It identifies and scrapes up to five critical URLs found within the provided documents to ensure the data is current and comprehensive.
- The agent applies the MECE principle to break down the decision logic into hierarchical sub-tasks.
- A visual tree diagram is generated using Mermaid syntax to show the logical flow from data to final conclusion.
- The agent drafts a exhaustive decision narrative (min. 10,000 words) including at least three charts and 50+ citations.
- The final output is committed as a new wiki document and submitted as a formal decision report.
Chief Editor Decision Agent Setup
To integrate this skill into your environment, ensure your agent has access to scraping and wiki tools. Install the skill using the following command:
openclaw install chief-editor-desicion
Configure your agent environment to allow parallel tool calling for efficient document processing.
Chief Editor Decision Agent Data Schema & Taxonomy
| Data Component | Format | Purpose |
|---|---|---|
| Input Documents | Markdown/PDF/Text | Primary source material from attachments or wiki entries. |
| Logical Logic Tree | Mermaid String | Visual representation of the decision-making hierarchy. |
| Decision Report | Markdown | The core narrative exceeding 10,000 words with structured sections. |
| Citations | Markdown Inline | Format: [[Number]](URL) mapping directly to original web sources. |
| Reference List | Numbered List | A sequential list of all 50+ source URLs used in the report. |
Chief Editor Decision Agent Advanced Features
- Parallel document ingestion for rapid analysis of large datasets.
- Automated extraction and scraping of deep-link URLs found within static attachments.
- MECE-compliant structural enforcement for logical consistency.
- Mandatory 50+ citation threshold to ensure academic-grade rigor and transparency.
- Dynamic chart generation (min. 3 per report) to visualize complex data trends.
SKILL.md
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