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wayland-launch-status-batch

Productivity
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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.

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Source SKILL.md: https://github.com/FerroxLabs/wayland/blob/HEAD/src/process/resources/bundled-workflows/bodies/wayland-launch-status-batch/SKILL.md

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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