Agent skill · AI & Agents

hyperflow-cache

Hyperflow memory manager. Use to view, search, add, edit, prune, or clear hyperflow project memory — "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y". CRUD over .hyperflow/memory/ only — never touches source code.

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codeMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill hyperflow-cache --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: plugins/ai-agency/hyperflow/templates/antigravity/skills/hyperflow-cache/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# hyperflow-cache — memory CRUD (Antigravity single-agent) Manage `.hyperflow/memory/` entries. **Only memory files** — never source code. Follow the `hyperflow` doctrine. ## Operations - **view / list** — print the entries in `.hyperflow/memory/{decisions,learnings,pitfalls,patterns}.md`. - **search `<term>`** — grep the memory files; show matching entries with their file + heading. - **add** — a

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About this skill
What does the hyperflow-cache skill do?

Hyperflow memory manager. Use to view, search, add, edit, prune, or clear hyperflow project memory — "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y". CRUD over .hyperflow/memory/ only — never touches source code.

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill hyperflow-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.

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