bobmatnyc/reporting-pipelines
universal/data/reporting-pipelines/SKILL.md
Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.
$ install --global
skillsauthnpx skillsauth add bobmatnyc/claude-mpm-skills reporting-pipelinesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: May 19, 2026, 4:06 AM179.5s2 files scanned
SKILL.md
- name:
- reporting-pipelines
- description:
- Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.
- user-invocable:
- false
- disable-model-invocation:
- true
- version:
- 1.0.0
- category:
- universal
- author:
- Claude MPM Team
- license:
- MIT
- summary:
- Generate CSV/JSON/markdown reports with timestamped filenames and summary outputs.
- when_to_use:
- Building reporting flows, exporting analytics results, or standardizing CSV/JSON/markdown outputs across projects.
- quick_start:
- 1. Run the CLI that produces base data 2. Export CSV/JSON/markdown with timestamps 3. Save to reports/
Reporting Pipelines
Overview
Your reporting pattern is consistent across repos: run a CLI or script that emits structured data, then export CSV/JSON/markdown reports with timestamped filenames into reports/ or tests/results/.
GitFlow Analytics Pattern
# Basic run
gitflow-analytics -c config.yaml --weeks 8 --output ./reports
# Explicit analyze + CSV
gitflow-analytics analyze -c config.yaml --weeks 12 --output ./reports --generate-csv
Outputs include CSV + markdown narrative reports with date suffixes.
EDGAR CSV Export Pattern
edgar/scripts/create_csv_reports.py reads a JSON results file and emits:
executive_compensation_<timestamp>.csvtop_25_executives_<timestamp>.csvcompany_summary_<timestamp>.csv
This script uses pandas for sorting and percentile calculations.
Standard Pipeline Steps
- Collect base data (CLI or JSON artifacts)
- Normalize into rows/records
- Export CSV/JSON/markdown with timestamp suffixes
- Summarize key metrics in stdout
- Store outputs in
reports/ortests/results/
Naming Conventions
- Use
YYYYMMDDorYYYYMMDD_HHMMSSsuffixes - Keep one output directory per repo (
reports/ortests/results/) - Prefer explicit prefixes (e.g.,
narrative_report_,comprehensive_export_)
Troubleshooting
- Missing output: ensure output directory exists and is writable.
- Large CSVs: filter or aggregate before export; keep summary CSVs for quick review.
Related Skills
universal/data/sec-edgar-pipelinetoolchains/universal/infrastructure/github-actions
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