cache
Use when the user wants to view, search, add, edit, prune, archive, or clear hyperflow memory entries. CRUD interface for `.hyperflow/memory/` — never modifies source code, only memory files. Trigger with /hyperflow:cache, "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill cache --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.
# Cache CRUD interface for `.hyperflow/memory/`. Full protocol: [memory-system.md](references/memory-system.md). ## Storage All operations target `.hyperflow/memory/` at the project root. Never modify source code files — if asked to "remember X about file Y", add a memory entry only, never edit Y. ## Subcommands | Subcommand | Description | |---|---| | `show [tag]` | Print index or filter entries
What does the cache skill do?
Use when the user wants to view, search, add, edit, prune, archive, or clear hyperflow memory entries. CRUD interface for `.hyperflow/memory/` — never modifies source code, only memory files. Trigger with /hyperflow:cache, "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y".
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill cache --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.
