Agent skill · Data & Analytics

fieldy-analysis

Analyze Field Labs coaching transcription data, calculate session metrics, and generate daily summaries. Use for processing Fieldy voice transcriptions and creating coaching reports.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill fieldy-analysis-dglowacki-mega-agent-v2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/fieldy-analysis-dglowacki-mega-agent-v2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Fieldy Analysis Process and analyze Field Labs coaching transcription data to generate daily email summaries. ## Quick Start Analyze today's Fieldy data: ```bash python scripts/analyze_fieldy.py data/fieldy/fieldy_2026-01-04.json ``` Generate daily summary: ```bash python scripts/generate_fieldy_summary.py data/fieldy/fieldy_2026-01-04.json --output summary.json ``` ## Data Structure ### Input Format (fieldy_YYYY-MM-DD.json) ```json { "date": "2026-01-04", "transcriptions": [ { "timestamp": "2026-01-04T10:30:00.000000+00:00", "transcription": "Full text of the transcription...", "transcriptions": [ { "text": "Individual sentence or phrase", "speaker": "Unknown", "start": 0.704, "end": 7.184, "duration": null } ], "metadata": { "ip_address": "192.168.1.1", "user_agent": "python-httpx/0.28.1", "received_at": "2026-01-04T10:30:00.000000" } } ] } ``` ## Metrics to Calculate ### Session Metrics 1. **Total Sessions** - Count of transcription entries for the day - Each entry = one coaching session/call 2. **Total Duration** - Calculate from start/end times of transcription segments - Sum of all segment durations 3. **Average Session Length** - Total duration / number of sessions - Measu

What's inside
Steps it walks through
  1. Quick Start
  2. Data Structure
  3. Input Format (fieldyYYYY-MM-DD.json)
  4. Metrics to Calculate
  5. Session Metrics
  6. Content Metrics
  7. Analysis Scripts
  8. analyzefieldy.py
  9. generatefieldysummary.py
  10. extractinsights.py
  11. Report Templates
  12. Daily Email Summary
  13. Weekly Rollup
  14. Integration with Agents
Ships with 1 file
  • metadata.json
Commands it runs
python scripts/analyze_fieldy.py data/fieldy/fieldy_2026-01-04.json
python scripts/generate_fieldy_summary.py data/fieldy/fieldy_2026-01-04.json --output summary.json
python scripts/analyze_fieldy.py input.json --output analysis.json
python scripts/generate_fieldy_summary.py input.json \
python scripts/extract_insights.py input.json --top-keywords 10
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About this skill
What does the fieldy-analysis skill do?

Analyze Field Labs coaching transcription data, calculate session metrics, and generate daily summaries. Use for processing Fieldy voice transcriptions and creating coaching reports.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill fieldy-analysis-dglowacki-mega-agent-v2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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