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deepflow
deepflow contient 8 skills collectées depuis saidwafiq, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Encapsulates the DECISIONS: tagging protocol for architectural decision documentation in task outputs
Tag tests with AC references so /df:verify L3 can confirm every spec AC is exercised by at least one test
Produces structured JSON intelligence for a remote GitHub repo — fetches metadata and file tree via gh api, reads key files via WebFetch. No local clone. Use when evaluating an unfamiliar repo before planning integration work.
Skeleton skill for eval fixture — replace with the real skill content
Fetches live web content using headless Chromium via Playwright. Use when you need to read documentation, articles, or any public URL that requires JavaScript rendering. Falls back to WebFetch for simple HTML pages.
Verifies UI acceptance criteria by launching a headless browser, extracting the accessibility tree, and evaluating structured assertions deterministically. Use when a spec has browser-based ACs that need automated verification after implementation.
Discovers requirement gaps during ideation. Use when user describes features, planning specs, or requirements seem incomplete. Asks clarifying questions about scope, constraints, edge cases, success criteria.
Makes atomic commits with clean messages. Use when committing code, implementing tasks, or preparing git history. Ensures one logical change per commit for easy review and rollback.