Technical format: Skill
Stories
Turn documented project evidence into a case study and one audience adaptation.
What Stories does
Turn documented project evidence into a case study and one audience adaptation.
- For
- Project maintainers and writers who need a documented account of work.
- Bring
- A permitted project-evidence packet, audience, intended use, evidence labels and sharing boundaries.
- Action
- Build a shared claims ledger, draft one project case study, adapt its emphasis for one audience, then review unsupported claims.
- Output
- A case study, one adaptation, shared claims ledger and review notes.
Runtime and prerequisites
The writing method runs in your existing AI agent. An optional read-only checker uses Python 3.11+ and the standard library; it does not judge factual truth or privacy.
- A skill-capable assistant; Python3.11+ only for the optional read-only checker. No other capability is required.
How the work moves
Example output
A fictional project case study, one audience adaptation and a shared claim ledger.
Fictional illustration, not a result from your task or measured user evidence.
Limitations
The checker validates structure and boundaries, not truth, prose quality or privacy. No session mining, renderer or publisher.
Explore by kind of work
Another part of the work.
Back to the collectionRelated tools & research
Sources to compare or explore alongside this capability. A listing does not imply an integration, partnership or endorsement.
Skills & plugins 1 source
Amplifier Stories
The credited MIT upstream contributes evidence, narrative and audience-adaptation ideas.
Difference: This extraction produces one documented project case study plus one adaptation and a shared claims ledger. It omits autonomous session mining, publishing and renderer machinery.
Reviewed
Research & guidance 2 sources
Diátaxis
Its distinction between reader needs helps choose the purpose and audience of a project account.
Difference: A project case study is not automatically a tutorial, how-to guide, reference or explanation. No Diátaxis text, diagrams or code were copied.
Reviewed
W3C PROV overview
Provenance concepts offer a review lens for the link between a claim and the activity or source supporting it.
Difference: Stories has a simpler local claims ledger. It does not emit PROV, implement its ontology or claim standards conformance.
Reviewed
Commercial tools 1 source
Storydoc case study creator
A hosted option for interactive case studies, collaboration and audience personalization.
Difference: Stories produces a local text packet with explicit evidence boundaries; it has no hosted design, tracking, CRM or Storydoc integration.
Reviewed