Skip to content
OpenSmartRoute
Skillv1.0.0

reporting-pipelines

Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.

by bobmatnyc(0) 0 installs
Free
Sign in to install

Free account. Installing gives you the manifest plus copy-paste snippets.

See reviews

About

Imported from bobmatnyc/claude-mpm-skills (universal/data/reporting-pipelines/SKILL.md). Install upstream with npx skills add bobmatnyc/claude-mpm-skills --skill reporting-pipelines. Copyright stays with the author (MIT).

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>.csv
  • top_25_executives_<timestamp>.csv
  • company_summary_<timestamp>.csv

This script uses pandas for sorting and percentile calculations.

Standard Pipeline Steps

  1. Collect base data (CLI or JSON artifacts)
  2. Normalize into rows/records
  3. Export CSV/JSON/markdown with timestamp suffixes
  4. Summarize key metrics in stdout
  5. Store outputs in reports/ or tests/results/

Naming Conventions

  • Use YYYYMMDD or YYYYMMDD_HHMMSS suffixes
  • Keep one output directory per repo (reports/ or tests/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-pipeline
  • toolchains/universal/infrastructure/github-actions

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/bobmatnyc-claude-mpm-skills-reporting-pipelines/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

bobmatnyc-claude-mpm-skills-reporting-pipelines.ocm.jsonjson
{
  "ocm": "1",
  "id": "bobmatnyc-claude-mpm-skills-reporting-pipelines",
  "kind": "skill",
  "name": "reporting-pipelines",
  "description": "Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.",
  "publisher": "bobmatnyc",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "data_analysis"
    ],
    "tags": [
      "skill-md",
      "reporting",
      "csv",
      "json",
      "markdown",
      "analytics",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/bobmatnyc/claude-mpm-skills",
      "path": "universal/data/reporting-pipelines/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/bobmatnyc/claude-mpm-skills/blob/HEAD/universal/data/reporting-pipelines/SKILL.md",
      "key": "bobmatnyc/claude-mpm-skills/universal/data/reporting-pipelines/SKILL.md"
    },
    "license": "MIT"
  },
  "instructions": "# Reporting Pipelines\n\n## Overview\n\nYour 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/`.\n\n## GitFlow Analytics Pattern\n\n```bash\n# Basic run\ngitflow-analytics -c config.yaml --weeks 8 --output ./reports\n\n# Explicit analyze + CSV\ngitflow-analytics analyze -c config.yaml --weeks 12 --output ./reports --generate-csv\n```\n\nOutputs include CSV + markdown narrative reports with date suffixes.\n\n## EDGAR CSV Export Pattern\n\n`edgar/scripts/create_csv_reports.",
  "cost": {
    "context_tokens": 400
  }
}

Fetch it by URL: GET /api/v1/registry/bobmatnyc-claude-mpm-skills-reporting-pipelines/manifest?version=1.0.0

Reviews

Star ratings from people who tried it. One review per account; edit yours any time.

No reviews yet. Install it, try it, and be the first to rate it.