
Reporting Pipelines
A pattern for standardizing report exports across projects. You run a CLI or script that emits structured data, then pipe it into timestamped CSV, JSON, or markdown files that land in a reports directory. The skill documents real patterns like gitflow-analytics commands and EDGAR compensation exports that use pandas for sorting and percentiles. The naming convention is straightforward: YYYYMMDD suffixes, explicit prefixes like narrative_report_ or comprehensive_export_, and one output directory per repo. It's less a tool and more a documented playbook for keeping your analytics outputs consistent, which matters when you're juggling multiple repos that all need the same export format.
- skills.sh installs
- 363
- GitHub stars
- 79
- last updated
- Aug 21, 2026
Install
$ npx -y skills add bobmatnyc/claude-mpm-skills --skill reporting-pipelines --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/bobmatnyc/claude-mpm-skills
- First seen
- Jun 3, 2026
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