scaffold
Use when starting hyperflow in a new project, refreshing the .hyperflow/ cache, or installing auto-detection shims (AGENTS.md, CLAUDE.md). One-shot project setup; does not start the spec → scope → dispatch chain. Trigger with /hyperflow:scaffold, "init hyperflow", "set up hyperflow", "refresh hyperflow", "install hyperflow shims".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill scaffold --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Scaffold One-shot project setup. Analyzes the codebase, builds the `.hyperflow/` cache, seeds the memory skeleton, and optionally installs detection shims for other AI tools. Does not start the plan → dispatch chain — invoke `/hyperflow:plan` when you're ready for that. ## Step 1 — Analysis Cache Check for `.hyperflow/` at project root. **If absent — dispatch parallel searchers (single message,
What does the scaffold skill do?
Use when starting hyperflow in a new project, refreshing the .hyperflow/ cache, or installing auto-detection shims (AGENTS.md, CLAUDE.md). One-shot project setup; does not start the spec → scope → dispatch chain. Trigger with /hyperflow:scaffold, "init hyperflow", "set up hyperflow", "refresh hyperflow", "install hyperflow shims".
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill scaffold --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
