reporting_skill
- Python
1
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill pluginagentmarketplace/custom-plugin-data-analyst --skill reporting- SKILL.md1.6 KB
Overview
This skill automates reporting and business intelligence delivery to streamline insights across teams. It covers report generation, scheduled distribution, KPI dashboards, and executive summaries. The goal is to reduce manual work and ensure stakeholders receive timely, consistent metrics and narratives.
How this skill works
The skill inspects data sources, applies templates, and generates formatted reports or dashboard exports on a schedule or on demand. It validates templates, embeds last-refresh metadata, and attempts delivery via configured channels with retry paths for failures. When issues occur, it surfaces actionable errors such as access or formatting problems and suggests recovery steps.
When to use it
- Regular distribution of weekly, monthly, or quarterly performance reports
- Automating KPI dashboards for product, marketing, or finance teams
- Generating executive summaries for leadership meetings
- Delivering scheduled CSV/Excel extracts to downstream systems or partners
- Ensuring consistent report formatting and versioning across teams
Best practices
- Standardize templates and include a visible last-refresh timestamp in every report
- Define clear ownership and distribution lists to prevent access errors
- Test report generation and delivery with a staging schedule before production
- Include an executive summary section that highlights trends, drivers, and recommended actions
- Implement monitoring and retry logic for delivery failures and stale data
Example use cases
- Automate a monthly sales performance pack with charts, regional KPIs, and commentary
- Deliver daily product usage metrics to engineering and customer success teams
- Produce a weekly executive brief that summarizes growth, churn, and action items
- Export nightly data extracts to finance for reconciliation and forecasting
- Generate ad-hoc cohort analyses for stakeholder requests with reusable templates
FAQ
The skill retries delivery with a configured backup method and logs the failure for review; notify the distribution owner if retries fail.
How does it handle stale or missing data?
Reports include a last-refresh timestamp and will surface a data-stale warning; workflows can be configured to halt delivery until refresh succeeds.
Can templates be validated before sending?
Yes. Template validation runs as part of the generation step to catch formatting issues and prevent broken outputs.