demo-consume-context

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Worked example that discovers, loads, and tags a context package per CONSUMING-CONTEXT-PACKAGE.md, then writes a reverse-index addendum — proves the produce/consume/tag loop end-to-end. Do NOT use for real feature work.

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

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Quality Score: 78/100

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Issue Health 10%
80
License 10%
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Description 5%
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Skill Content

# Demo: Consuming a Context Package (worked example) ## Overview This is a minimal, from-scratch worked example — not a production skill. It exists to prove `ult-context-generate/CONSUMING-CONTEXT-PACKAGE.md`'s consumption contract end-to-end without depending on any larger downstream skill set. Given a feature name, it produces a one-paragraph "demo note" and demonstrates every step of the tag loop: discover an existing package (or proceed without one), cite it while writing, tag the output, and write back a reverse-index addendum so the package records who consulted it. ## Steps 1. **Follow `CONSUMING-CONTEXT-PACKAGE.md` steps 0–3** exactly, using whatever input you were given (a bare feature name is enough — it skips step 0's tag-discovery scan and goes straight to step 1's glob check against `contexts/`). 2. **Write the demo note** to `outputs/demo-notes/<feature-slug>.md` — a single paragraph in plain language describing the feature. If a package was loaded in step 1 above, the paragraph must name and paraphrase at least one `decisions_log`/`decisions` entry or `context_items` entry by its `summary`, so the loaded content is visibly used, not just fetched. If no package was found, write the paragraph from the feature name alone and say so explicitly in the note's first line. 3. **Tag the output** — per step 9 of the contract, add a `**Context package(s):** <id>@<hash8>` line at the top of the note for every package consulted (omit t...

Details

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

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