chief-editor-desicionAI agent for chief editor desicion tasks
Install via ClawdBot CLI:
clawdbot install teamolab/chief-editor-desicionThis skill provides specialized capabilities for chief editor desicion.
read_wiki_document) to read the content of all attached files. This should be completed in a single parallel tool call.Part B: Read URLs found in files1. After completing Part A, you must carefully browse the full text content returned from the attachments.2. Identify all URLs contained within that text.3. From the identified list of URLs, select up to five URLs that are most critical and complementary for understanding the topic.4. Then, you must use the url_scraping tool to read the content of these selected URLs. This should be completed in a single parallel tool call.5. This step is mandatory if any relevant URLs are found in the documents. Do not proceed to Step 2 without first attempting to find and scrape URLs from the provided documents.### Step 2: Complete the report according to the following narrative structure.# Narrative Structure1. Provide the decision conclusion.2. Use mermaid language to complete a tree diagram. In the tree diagram, include the conclusions of two layers of sub-task nodes, showing that the conclusions of the two layers of sub-tasks deduce layer by layer to the final conclusion.3. Explain the logic of the tree diagram in natural language. At this time, you must provide: 1. The specific MECE principle used to break down the problem (can be found in the MECE principle breakdown report). 2. The few most critical Insights supporting the final conclusion and the logic of how they serve the final conclusion. Do not omit any detailed narration and key data of key examples here.4. Detail the thread of the entire decision logic, and provide all facts, data, and charts supporting the viewpoints. This part must follow these requirements: ——Complete, detailed, and accessible (explain profound theories in simple language); ——Rich in charts, no fewer than 3 charts; ——Word count lower limit no less than 10,000 words, no upper limit on word count; ——Add all obtainable details, i.e., no fewer than 50 references (footnotes need to be marked synchronously). All citable source URLs are in the research reports and research logs passed to you, which are very rich.5. Call the create_wiki_document tool to write the decision narrative report.6. Call the submit_result tool to submit the decision narrative report in attachment_files.# Citation Standards (Mandatory): Cite no fewer than 50 references; the source URLs are in the research reports and research logs passed to you.1. Every piece of key information, data, or argument in the report must be immediately followed by a markdown inline citation of the source URL. The format is [[Number]](URL), for example [[1]](https://link-to-source-1.com). Example: "The model was released in June 2025[](https://example.com/news/release-date), and its performance improved by about 30%[](https://example.com/paper/performance-metrics)."2. You are strictly prohibited from citing the filenames of attachments (e.g., "wiki/user_provided_document"). You must cite the original URLs mentioned in the attachments directly. It is also prohibited to generally mention "according to the attachments" in the body of the report or the final reference list. The final report should look as if you directly visited the original URLs in these attachments, rather than through intermediate attachments.3. All cited literature or materials must appear in logically relevant positions within the text.4. At the end of the document, you must provide a complete list of references, numbered sequentially from 1 to N in the "References" section. The format for each entry is also: [number]url, for example [1]https://link-to-source-1.com.Generated Mar 1, 2026
A chief editor uses the skill to decide whether to publish a new manuscript by analyzing market trends, reader feedback data, and competitor publications. The agent collects data from industry reports and author submissions to provide a structured decision report with citations.
A news chief editor employs the skill to determine coverage priorities for breaking news by evaluating source credibility, public interest metrics, and historical impact data. It scrapes URLs from internal briefings to support the decision narrative.
An editor-in-chief uses the skill to make acceptance decisions on submitted research papers by analyzing peer reviews, citation trends, and methodological rigor. The agent processes attachments like reviewer logs and reference URLs to generate a detailed report.
A marketing chief editor applies the skill to approve or reject content campaigns by assessing brand alignment, audience engagement data, and regulatory compliance. It reads provided reports and scrapes relevant URLs for comprehensive analysis.
A policy chief editor utilizes the skill to decide on briefing documents by evaluating stakeholder inputs, economic data, and legal frameworks. The agent collects information from attached policy files and external URLs to produce a decision report with extensive references.
Organizations pay a recurring fee to access the AI agent for ongoing editorial decision support, including regular report generation and updates. Revenue is generated through tiered subscription plans based on usage volume and features.
The skill is offered as a one-time service for specific editorial projects, such as manuscript evaluations or strategy reports, with pricing based on project complexity and required word count. Revenue comes from fixed project fees.
Large corporations or institutions license the skill for internal use across multiple departments, with customization options for specific workflows and integration into existing systems. Revenue is generated through annual licensing agreements.
💬 Integration Tip
Ensure all source URLs in attachments are accessible and valid to meet the mandatory citation requirements; use parallel tool calls for efficiency in reading attachments and scraping URLs.
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