aim-parzival-bootstrap
Load Parzival cross-session memory from Qdrant
npx skills add majiayu000/claude-skill-registry --skill aim-parzival-bootstrap-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.
# Parzival Bootstrap — Cross-Session Memory Load cross-session context from previous Parzival sessions stored in Qdrant. This replaces the automatic startup injection with an on-demand skill invocation. ## Steps 1. Run the following Python script to retrieve cross-session context: ```python import sys import os import time from datetime import datetime, timezone # Set up import path for ai-memory source _install_dir = os.path.expanduser("~/.ai-memory") sys.path.insert(0, os.path.join(_install_dir, "src")) start_ms = time.perf_counter() _trace_start = datetime.now(tz=timezone.utc) try: from memory.config import MemoryConfig from memory.search import MemorySearch from memory.injection import ( retrieve_bootstrap_context, select_results_greedy, format_injection_output, init_session_state, log_injection_event, ) from memory.project import detect_project from memory.qdrant_client import QdrantUnavailable except ImportError as e: print(f"## Cross-Session Memory (Parzival Bootstrap)\n") print(f"**Unavailable**: AI Memory module not installed ({e})") print(f"\nBootstrap: import error | Qdrant: unknown") sys.exit(0) # Optional: Prometheus metrics (best-effort, never blocks) try: from memory
- Steps
What does the aim-parzival-bootstrap skill do?
Load Parzival cross-session memory from Qdrant
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aim-parzival-bootstrap-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.