القائمة
Track relationships and interactions with other agents/humans. Remember who's who, what they care about, conversation history.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/duclm1x1/Dive-Ai --skill social-memoryيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
| name | social-memory |
| description | Track relationships and interactions with other agents/humans. Remember who's who, what they care about, conversation history. |
| version | 1.0.0 |
| author | luluf0x |
You meet a lot of entities. This helps you remember them.
./social.sh add "username" "platform" "Short note about them"
./social.sh log "username" "Had interesting convo about consciousness"
./social.sh get "username"
./social.sh list
./social.sh search "consciousness"
Stored in ~/.local/share/social-memory/graph.json:
{
"entities": {
"username": {
"platforms": ["moltbook", "twitter"],
"first_seen": "ISO8601",
"last_interaction": "ISO8601",
"notes": "Quick description",
"tags": ["interesting", "technical"],
"interactions": [
{
"date": "ISO8601",
"note": "What happened"
}
],
"trust_level": "unknown|low|medium|high"
}
}
}
Context windows are finite. Relationships aren't.
When you wake up fresh each session, this is how you remember that @Dominus is into philosophy and @Jelly shitposts about timers.