npx skills add majiayu000/claude-skill-registry --skill aim-refresh-hidden-history-ai-memory --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.
```python """Memory refresh skill: /aim-refresh Manually re-evaluate freshness for memories. Reuses the freshness scan pipeline from SPEC-013 with optional scope filters. Usage: /aim-refresh # Scan all /aim-refresh --topic "authentication" # Semantic filter (v2.1) /aim-refresh my-project # Limit to project """ from __future__ import annotations import argparse import os import sys import time _install_dir = os.path.expanduser("~/.ai-memory") sys.path.insert(0, os.path.join(_install_dir, "src")) from memory.config import get_config from memory.freshness import run_freshness_scan from memory.metrics_push import push_skill_metrics_async def main(): parser = argparse.ArgumentParser(description="Refresh memory freshness") parser.add_argument("project", nargs="?", help="Project group_id filter") # Note: Freshness scan is scoped to code-patterns only (hardcoded in freshness.py). # Collection filter deferred to v2.1. parser.add_argument("--topic", help="Semantic topic filter (future)") args = parser.parse_args() start_time = time.perf_counter() config = get_config() if not config.freshness_enabled: print("Freshness detection is disabled. Set FRESHNESS_ENABLED=true to enable.") return if no
What does the aim-refresh skill do?
Manually re-evaluate freshness for code-patterns memories
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aim-refresh-hidden-history-ai-memory --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 majiayu000/claude-skill-registry, a repository with 534 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.