demo-write-user-stories

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Reference implementation that writes functional user stories from a feature description, optionally grounded in an approved CEP context package per CONSUMING-CONTEXT-PACKAGE.md, with per-story citations and the standard tag/reverse-index loop. A worked example for downstream teams building their own context-consuming skills.

AI & Automation 9 stars 0 forks Updated today Apache-2.0

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Skill Content

# Demo: Writing User Stories (worked example) ## Overview This is a lean, from-scratch reference implementation of a real downstream consumer of CEP context packages — not a toy, and not part of core CEP. Given a feature description, it writes standard-form user stories, grounded in an approved context package's `context_items` when one is available, and follows the same discover/load/tag/reverse-index loop every consuming skill in this repo follows via `CONSUMING-CONTEXT-PACKAGE.md`. It is deliberately minimal: no actor taxonomy, no Enabler/NFR/ Requirement-Note story types, no org-convention lookup, no scoring rubric. Any team that wants a production backlog tool should build one of those on top of this pattern — this skill exists to show the pattern itself, cleanly, end to end, and to be genuinely usable as-is for a quick, honestly-grounded first pass at a feature's user stories. **Scope note:** this skill writes **functional user stories only** — plain "As a / I want / so that" statements. It does not distinguish Enabler stories, non-functional requirements, or requirement notes from functional stories; a production backlog tool should make that distinction, a lean reference example does not need to. ## Inputs 1. **Feature description** (required) — one or two sentences describing the feature or behavior to write stories for, the way a developer would actually phrase a ticket. 2. **Context package path** (optional) — an explicit path to an approved `context...

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Author
linkpranay-ai
Repository
linkpranay-ai/context-engineering-protocol
Created
2 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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