sizing

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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.

amir-yogev-gh By amir-yogev-gh schedule Updated 6/11/2026

name: sizing version: 0.1.1 description: >- 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.

Sizing Workflow Orchestrator

Quick Start

  1. If the user invoked a specific command (e.g., /assess, /apply), read commands/{command}.md and follow it.
  2. Otherwise, read skills/controller.md to load the workflow controller:
    • If the user provided a Jira issue key or URL, execute the /ingest phase in single-Feature mode
    • If the user provided a release identifier (e.g., release:EDM:1.3.0), execute the /ingest phase in batch mode
    • Otherwise, ask the user for a Feature key or release identifier

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.

Install via CLI
npx skills add https://github.com/amir-yogev-gh/ai-workflows --skill sizing
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