pavp/storywright

COLLECTIONattested
v1.13.0pavpMITUpdated 2mo agonpmGitHub

PM skills pack for Claude Code — turn ambiguous inputs into Jira-ready user stories

PM skills for Claude Code that turn ambiguous inputs — vague prompts, half-baked stories, screenshots, Figma links — into Jira-ready user stories with acceptance criteria, edge cases, risks, analytics, and Definition of Done. Inspired by (CC BY-NC-SA 4.0). Clean-room MIT rewrite — no copied content. Frontmatter shape, body skeleton, and splitting-pattern selection draw on patterns from that repo;…

This collection bundles
14 skills4 commands

⚠ The trust score below reflects the installer package @pavp/storywright only. The bundled units are not individually verified or scanned — review them before use.

Attested build
A verified provenance attestation binds this artifact to the listed repository. Nobody has claimed the listing yet — this proves where the code was built, not who stands behind it.
98Downloads/wk
2mo agoLast update
Package
Authorpavp
LicenseMIT
Version1.13.0
Sourcegithub
npm@pavp/storywright
GitHubpavp/storywright
Trust Status
A
85/100Trusted
✓Listed in Forge index+10/10
✓Identity verified · attested build+20/20
—Ed25519 publish signature+0/5
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓npm Trusted Publishing (Sigstore)+5/5
—npm maintainer match+0/5
→ Publisher: add the verified GitHub login to the npm package's maintainers (npm owner add <login>)
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusIdentity verified
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · a0cfdea
Dependencies✓ 0 resolved · none vulnerable
Tool surface—
Security scan✓ Cleanv1.13.0 · 2mo ago
EvalsNone
IndexedJun 14, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

PM skills for Claude Code that turn ambiguous inputs — vague prompts, half-baked stories, screenshots, Figma links — into Jira-ready user stories with acceptance criteria, edge cases, risks, analytics, and Definition of Done. Inspired by (CC BY-NC-SA 4.0). Clean-room MIT rewrite — no copied content. Frontmatter shape, body skeleton, and splitting-pattern selection draw on patterns from that repo; prose, component taxonomy, dual-format output, and risk model are this repo's own. Release pipeline…

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