Report Generator Adarsh

What This Skill Does

The Report Generator Adarsh skill serves as the central intelligence engine for the OpenClaw marketing audit pipeline. Its primary function is to synthesize diverse, multi-channel marketing data—spanning Instagram performance, Meta advertising analytics, SEO keyword rankings, competitor benchmarks, and technical website health—into a single, cohesive, and professional audit report.

By leveraging the GPT-4.1-mini model, this skill performs a singular, optimized API call to transform raw JSON data into actionable insights. It adheres to a strict 6-section structure, ensuring consistency across all generated outputs. Designed for efficiency, it processes the entire audit payload as a single context window, minimizing latency and keeping operational costs significantly low (typically around $0.001–$0.002 per execution).

Installation

To integrate this skill into your environment, run the following command within your project directory:

clawhub install openclaw/skills/skills/adarshvmore/report-generator-adarsh

Ensure that you have your OPENAI_API_KEY configured in your environment variables, as the skill requires this credential to interface with the OpenAI API for generating the final report markdown.

Use Cases

• Digital Agency Audits: Quickly generate professional white-label marketing audit reports for prospective clients using raw data scraped from their social and web channels.
• Performance Review Automation: Automatically compile monthly performance reports for internal stakeholders without the need for manual copy-pasting into documents.
• Competitor Benchmarking: Extract insights from competitor data snapshots to identify growth opportunities compared to existing website and ad performance.
• Technical SEO Reporting: Aggregate technical website audit findings alongside keyword data to provide a holistic view of organic search health.

Example Prompts

1. "Generate a comprehensive marketing audit report for the data provided in the current session."
2. "Create a structured summary of the marketing performance data; focus on high-impact insights for the client."
3. "Summarize the attached audit data into the standard 6-section format and highlight key areas for technical improvement."

Tips & Limitations

• Consistency: Because this skill uses a strict system prompt and temperature of 0.4, it is highly reliable for repeatable formatting.
• Cost Efficiency: This is the only skill authorized to make OpenAI calls in the pipeline. Avoid adding secondary AI calls in other modules to maintain the cost-to-performance ratio.
• Data Privacy: Ensure the input JSON provided to the function is cleaned and authorized, as it is sent to external API endpoints.
• Fallback Logic: If an API error occurs, the skill is designed to return a graceful fallback report rather than crashing, ensuring your pipeline remains resilient. Always monitor the logs for the logged token usage to keep track of spending.