Skill 013
Automates the discovery of insights and patterns from various enterprise data sources, enhancing strategic planning.
Install
$ agentstack add skill-legendtkl-agentic-skill-router-skill-013 ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-legendtkl-agentic-skill-router-skill-013) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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:
- The user is looking to uncover hidden patterns in historical data for strategic decisions.
- Insights are needed from various types of data sources, such as documents, databases, and communication logs.
- 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:
Objective:
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: legendtkl
- Source: legendtkl/agentic-skill-router
- License: MIT
- Homepage: https://legendtkl.github.io/agentic-skill-router/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.