# Wayland Launch Status Batch

> During-launch daily status workflow. Pulls live launch metrics from the available data sources, flags issues against those metrics, and drafts a daily standup. Runs fast and deterministically with no required user interaction. Use during an active launch when the user wants a quick daily pull of metrics, issues, and a standup draft. Do NOT use for pre-launch planning or building assets, and never fabricate metrics when a data source is missing.

- Skill: `ferroxlabs/wayland-launch-status-batch` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ferroxlabs/wayland-launch-status-batch`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ferroxlabs/wayland-launch-status-batch/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- License: Apache-2.0
- Author: FerroxLabs (https://skillmd.com/u/ferroxlabs)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ferroxlabs/wayland-launch-status-batch

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# Launch Status Batch

**Estimated time:** about 60 seconds

This is a deterministic during-launch workflow: pull metrics, flag issues, draft
the daily standup. It needs no user interaction once the inputs are known. It
expects two inputs: the path to the active-launch file describing the current
launch (active_launch_path), and the data source paths for sales, ads, and
support (data_dirs).

Resolve the launch numbers in this strict order, per domain, and never fabricate
metrics:

1. Use any file attached to the conversation (an exported CSV/PDF/XLSX of sales,
   ads, or support data) and any files found under the provided data_dirs.
2. Otherwise query the connected MCP connector for each domain: revenue/orders
   from Stripe (or the configured DB/Sheets); sales pipeline from HubSpot deals;
   support load from Intercom or HubSpot tickets; ad spend from the exported
   analytics CSV.
3. Otherwise ask the user to attach the export for the missing domain.

If a domain has no data source, report it as "no data" rather than guessing.

**Step 1: Pull the Daily Metrics** (uses: launch)

Read the active-launch file and the data sources. Pull the daily metrics across
revenue/orders, sales pipeline, support load, and ad spend, in daily-metrics-pull
mode, following the data resolution order above. This step is critical: if metrics
cannot be pulled at all, halt and report why rather than continuing with
fabricated numbers.

- Input: active_launch_path, data_dirs
- Output: metrics (pulled daily metrics by domain)
- Key focus: real numbers from real sources; halt on hard failure

**Step 2: Flag Issues** (uses: launch)

From the pulled metrics, detect and flag issues in issue-flag-detection mode:
anomalies, underperformance against plan, and risks worth attention. If this step
fails, skip it and proceed (issues are non-blocking for the standup).

- Input: metrics
- Output: issues (flagged issues, or empty if none/skipped)
- Key focus: surface what needs attention today

**Step 3: Draft the Daily Standup** (uses: launch)

From the metrics and any flagged issues, draft the daily standup in
daily-standup-draft mode: a concise status the team can read in under a minute,
covering current numbers, flagged issues, and next actions.

- Input: metrics, issues
- Output: standup (daily standup draft)
- Key focus: a tight, accurate daily update