parzival-save-insight

Productivity

Save a Parzival insight or learning to Qdrant for cross-session memory

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Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/context-management/parzival-save-insight-hidden-history-ai-memory/SKILL.md

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"""Save Parzival insight to Qdrant: /parzival-save-insight

Store an insight, learning, or pattern discovered during a session. Lightweight operation — typically 100-500 tokens.

Usage: /parzival-save-insight "PyYAML not in test deps caused CI failures" /parzival-save-insight "The decay formula uses 0.7/0.3 weighting per BP-060" """

from future import annotations

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.storage import MemoryStorage from memory.metrics_push import push_skill_metrics_async

def main(): start_time = time.perf_counter() config = get_config()

if not config.parzival_enabled:
    print("Parzival is not enabled. Set PARZIVAL_ENABLED=true in .env.")
    return

if len(sys.argv) < 2:
    print("Error: No insight text provided.")
    print('Usage: /parzival-save-insight "Your insight here"')
    sys.exit(1)

content = " ".join(sys.argv[1:])

storage = MemoryStorage(config)
try:
    result = storage.store_agent_memory(
        content=content,
        memory_type="agent_insight",
        agent_id="parzival",
        cwd=os.getcwd(),
    )
except Exception as e:
    print(f"Error: Failed to save insight to Qdrant: {e}")
    sys.exit(1)

status = result.get("status", "unknown")
if status == "stored":
    print(f"Insight saved (id: {result.get('memory_id', 'unknown')[:8]}...)")
elif status == "duplicate":
    print("Insight already exists (duplicate detected).")
else:
    print(f"Storage result: {status}")

metric_status = "success" if status == "stored" else "error"
push_skill_metrics_async("parzival-save-insight", metric_status, time.perf_counter() - start_time)

# Skill tracing (PLAN-014 G-06)
try:
    from memory.trace_buffer import emit_trace_event
    emit_trace_event(
        event_type="skill_execution",
        data={
            "input": f"Skill: parzival-save-insight"[:10000],
            "output": f"Result: completed"[:10000],
            "metadata": {"skill_name": "parzival-save-insight"},
        },
        session_id=os.environ.get("CLAUDE_SESSION_ID", "unknown"),
        tags=["skill"],
    )
except Exception:
    pass  # Tracing failures never break skill execution

if name == "main": main()