OperationsDailyBriefingSkill

---
name: OperationsDailyBriefingSkill
description: >
  Generate a unified operations daily briefing with KPIs, anomalies, and recommended next actions.
version: 1.1.1
visibility: team
tags:
  - operations
  - reporting
entrypoint:
  command: draft_daily_brief
  label: Produce daily operations brief
---

## When Claude should load this skill
- Run on a scheduler at `cron: 0 1 * * *` or launch manually ahead of stand-up and leadership huddles.
- Works best when operations teams need cross-functional context from KPIs, customer voice, and incident logs.

## Core workflow
1. Follow `instructions/daily-briefing.md` to confirm metric owners, threshold alerts, and escalation language.
2. Execute `python scripts/daily_brief.py` to emit `DAILY_BRIEF` summarizing trends, anomalies, and sentiment clusters.
3. Merge outputs into `templates/daily-brief-outline.md`, adding commentary for product, support, and ops leads.

## Linked resources
- `data/kpi_dashboard.csv` — Export of operational metrics with targets, owners, and thresholds.
- `data/customer_voice.csv` — Daily customer feedback themes with volume counts and sentiment tags.
- `instructions/daily-briefing.md` — Guidance on highlighting wins, blockers, and follow-up expectations.
- `templates/daily-brief-outline.md` — Report layout for Slack/email distribution.
- `logs/incidents.csv` — Optional incident feed to cross-reference with KPI dips.

import pandas as pd

kpi = pd.read_csv("data/kpi_dashboard.csv")
voice = pd.read_csv("data/customer_voice.csv")

kpi["delta"] = kpi["value"] - kpi["target"]
top_negative = kpi.nsmallest(3, "delta")

themes = voice.groupby("theme")["count"].sum().reset_index()
top_voice = themes.nlargest(3, "count")

report = {
    "summary": kpi[["metric", "value", "delta"]].to_dict("records"),
    "alerts": top_negative.to_dict("records"),
    "customer_voice": top_voice.to_dict("records"),
}

print("DAILY_BRIEF=", report)