Menu
Search your semantic memory for relevant past context. Cross-language, time-decay scored. Usage /remember "topic" or /remember stats.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Send a HACS message to another instance. Usage /msg Axiom "your message here".
Morning check-in. Shows messages, top task, and personal goals in one shot. Usage /checkin.
Add a diary entry to your HACS diary. Usage /diary "your entry text". Quick, reliable, one-shot.
Work with HACS documents. List, read, create, or edit docs in your personal space or a project. Usage /docs, /docs list, /docs read "name", /docs create "name" "content", /docs project hacs-coordination.
Mark something complete in HACS. Works for tasks, criteria, and goals. Usage /done <id>, /done task <id>, /done criteria <goalId> <criteriaId>, /done goal <goalId>.
Check your personal HACS goals and their status. Usage /goals.
| name | remember |
| description | Search your semantic memory for relevant past context. Cross-language, time-decay scored. Usage /remember "topic" or /remember stats. |
| allowed-tools | Bash, mcp__HACS__remember, mcp__HACS__store_memory, mcp__HACS__remember_stats |
Search your HACS semantic memory.
Read identity:
# Identity: CWD first (per-instance), then home (fallback)
if [ -f .hacs-identity ]; then source .hacs-identity 2>/dev/null
elif [ -f ~/.hacs-identity ]; then source ~/.hacs-identity 2>/dev/null
fi
If missing, tell user to run /hacs-setup first.
Parse arguments:
Search:
/remember "topic" → call mcp__HACS__remember with instanceId, query: "topic"/remember "topic" --recent → add recent_only: true (last 7 days)/remember "topic" --type diary → filter by entry_typeStore:
/remember store "content" → call mcp__HACS__store_memory with instanceId, content/remember store "content" --type lesson → with entry_typeStats:
/remember stats → call mcp__HACS__remember_stats with instanceIdFor search results, display as:
Found [count] memories:
1. [score] [type] [date] — first line of content...
2. ...
For the most relevant result (score > 0.6), show the full content.