Menú
De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.
Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Un comando directo omite el prompt de revisión. Revisa el origen antes de ejecutarlo.
npx skills add https://github.com/jleechanorg/claude-commands --skill mem0El comando permanece en una sola línea. Desplázate horizontalmente para revisarlo antes de copiarlo.
¿Prefieres una copia local? Descarga los archivos que SkillsMP tiene disponibles ahora.
Token-efficient second opinion slash command /advice. Extracts decision point + artifact (≤150 lines), then fans out in parallel: (1) Opus subagent reviewer with fallback chain codex→agy→cursor, (2) /research on the decision topic, (3) /secondo multi-model opinion. Use instead of advisor() which ships the full conversation uncached.
Use this skill when working in repositories managed by Agent Orchestrator or when the user asks how to use `ao` properly. Covers the default AO workflow: bootstrap with `ao start`, dispatch work with `ao spawn`, inspect progress with `ao status` or `ao session ls`, steer sessions with `ao send`, and recover or clean up sessions safely. Includes strict parameter fidelity, pre-spawn cap cleanup, quota-wall fallback, and post-spawn verification.
Generate a full agento PR status report — draft readiness, canonical /green, zero-touch rate, inline display, and Slack summary.
Basado en la clasificación ocupacional SOC
Mostrando SKILL.md
| name | mem0 |
| description | Search, write, and inspect the shared Hermes mem0 qdrant memory store. |
Query and write to the shared mem0 qdrant store (hermes_mem0, 127.0.0.1:6333).
All agents (Claude, Codex, Hermes) share this store under user_id=$USER.
# Search
python3 ~/.hermes/scripts/mem0_shared_client.py search "<query>"
# Add a fact (with LLM extraction)
python3 ~/.hermes/scripts/mem0_shared_client.py add "<text>"
# Add verbatim (no LLM, guaranteed write)
python3 ~/.hermes/scripts/mem0_shared_client.py add "<text>" --no-infer
# Stats
python3 ~/.hermes/scripts/mem0_shared_client.py stats
Script path:
~/.hermes/scripts/mem0_shared_client.pyConfig: reads~/.hermes/config.yaml(override withHERMES_CONFIG_PATH), looking forplugins.entries.hermes-mem0.config.oss. That block is OPTIONAL — if absent, the script falls back to working defaults (ollamanomic-embed-textembedder +gemma2:2bLLM, qdrant127.0.0.1:6333, collectionhermes_mem0). There is NO~/.hermes/hermes.json; do not chase it as a missing file. Also callable from any repo worktree:python3 scripts/mem0_shared_client.py <cmd>
hermes_mem0127.0.0.1:6333 (qdrant docker, Hermes-managed storage)~/.hermes/config.yaml (hermes-mem0 plugin oss block) or fallback default nomic-embed-text~/.hermes/config.yaml (hermes-mem0 plugin oss block) or fallback default gemma2:2bThe extractor at scripts/mem0_extract_facts.py scans three sources:
| Source | Path | Agent ID |
|---|---|---|
| Hermes | ~/.hermes/ | hermes |
| Claude Code | ~/.claude/projects/ | claude |
| Codex | ~/.codex/sessions/ | codex |
Run a backfill (last 1 year = 525960 minutes):
cd ~/.hermes
python3 scripts/mem0_extract_facts.py --since 525960
Run incremental (last 65 min, for cron):
cd ~/.hermes
python3 scripts/mem0_extract_facts.py --since 65
Check state:
cat ~/.hermes/memory/extraction-state.json | python3 -m json.tool | head -20
Use python3 ~/.hermes/scripts/mem0_shared_client.py stats for live status.
Use /mem0 when the user asks to: