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name: skill-013 description: Automates the discovery of insights and patterns from various enterprise data sources, enhancing strategic planning.

Enterprise Knowledge Discovery Skill (Insightful)

This skill focuses on automating the discovery of insights from extensive datasets across the enterprise, enabling informed strategic planning and decision-making.

It is designed for organizations with vast amounts of data that need to be analyzed to uncover valuable insights and trends.

When to Invoke This Skill

Invoke when ANY of the following is true:

1. The user is looking to uncover hidden patterns in historical data for strategic decisions.
2. Insights are needed from various types of data sources, such as documents, databases, and communication logs.
3. There is a requirement to generate reports that summarize findings from the analysis.

Why Use This Skill?

Without this skill: manual analysis of data can lead to missed opportunities and inefficient strategies due to the sheer volume of information.

With this skill: a subagent:

• systematically analyzes data from multiple sources
• identifies trends, correlations, and insights
• generates comprehensive reports for stakeholders

Typical insight generation improvement: 25–50%.

Invocation

Use this format:

Task(subagent_type="enterprise-knowledge-discovery", prompt="""
Data sources: <list of data sources>
Objective: <define the objective for the discovery process>

Output requirements:
- Return key insights and patterns identified.
- Provide context and implications of these findings.

Constraints:
- Focus on actionable insights that relate to strategic planning.
- Avoid irrelevant data or findings that do not contribute to the objective.
""")

Core Procedure (Must Follow)

Step 0 — Define the discovery objective

• Extract:
  • the core objective for the discovery process (e.g., market trends analysis)

Step 1 — Collect data

• Gather data from all specified sources relevant to the objective.

Step 2 — Analyze for insights

• Use analytical techniques to identify significant patterns and insights.

Step 3 — Compile findings

• Structure insights into a clear format for reporting.

Step 4 — Return results

• Provide a comprehensive overview of the insights and their implications.