Business Intelligence
CheckedAnalyzes your data to reveal key insights & trends, empowering smarter business decisions and strategic planning.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add borghei/claude-skills --skill business-intelligence -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
borghei
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned borghei/claude-skills at 4a698e8d07.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 4a698e8d07
- Scanned
- 4 files, 981 lines
About this skill
What it does
This skill allows AI agents to analyze data and generate reports, dashboards, and visualizations. It can summarize key trends from datasets, identify potential areas for improvement based on performance indicators, and provide insights into complex business situations. The agent can also create custom reports tailored to specific user requests.
When to use it
- Performance Review: Analyze sales figures over the last quarter to determine which regions are performing best.
- Market Research: Summarize customer feedback from surveys to identify common themes and areas for product improvement.
- Financial Reporting: Generate a dashboard displaying key financial metrics like revenue, expenses, and profit margins.
- Operational Efficiency: Identify bottlenecks in a production process by analyzing data on throughput and downtime.
Key capabilities
- Data analysis and summarization
- Report generation
- Dashboard creation
- Visualization of data trends
- Custom report tailoring
Example prompts
- "Create a sales performance dashboard for Q3, broken down by region."
- "Summarize the key findings from this customer survey dataset."
- "Generate a report on website traffic and conversion rates over the past month."
Tips & gotchas
The skill requires access to relevant data sources. Ensure the AI agent has appropriate permissions and connectivity to these resources for optimal performance.