sizing

Pre-cycle Feature sizing workflow that assesses Features from Jira using T-shirt sizes (XS–XXL), produces per-team effort breakdowns (DEV, QE, UX, UI, DOCS), and writes results back to Jira. Accepts a single Feature or all Features in a Fix Version for batch sizing. Use when sizing Features for cycle planning, prioritizing a release backlog, or evaluating whether a Feature fits in a cycle. Activated by commands: /ingest, /assess, /apply.

SKILL.md

Quality

Evals

Security

Sizing Workflow Orchestrator

Quick Start

If the user invoked a specific command (e.g., /assess, /apply), read commands/{command}.md and follow it.
Otherwise, read skills/controller.md to discover the input and route it through the phase dispatcher.

If a step fails or produces unexpected output (e.g., Jira MCP errors, network failures, invalid issue keys), stop and report the error to the user. Do not advance to the next phase. Offer to retry the failed step or escalate.

For principles, hard limits, safety, quality, and escalation rules, see guidelines.md. The scripts/ helpers compact source data, validate AI judgments, calculate derived values, and render artifacts; use JSON artifacts between phases.

Repository: flightctl/ai-workflows
Path: sizing/SKILL.md
Commit: 2bd6607

Last updated: 5 days ago
First committed: 25 days ago

Also appears in

amir-yogev-gh/ai-workflows

In sync

since Sep 13, 2026

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