Skip to main content

system-overview

Show how vibecosystem works - agents, skills, hooks, and self-learning pipeline.

معلومات المصدر

المستودع
vibeeval/vibecosystem
آخر نشاط في المصدر
١٣ أبريل ٢٠٢٦ في ٠٠:٣٩
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٥٣٨
التفرعات
٤٧

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
system-overview
description
Show how vibecosystem works - agents, skills, hooks, and self-learning pipeline.
# System Overview Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination. ## When to Use - User asks "how does this work?" - User asks "what can you remember?" - User asks "what's different about this setup?" - User runs `/system_overview` ## Response ``` CONTINUOUS CLAUDE SYSTEM OVERVIEW ================================= MEMORY LAYER (PostgreSQL + pgvector) ------------------------------------ - 78,000+ temporal facts from past sessions - Learnings extracted automatically at session end - Semantic search with embeddings RECALL: uv run python opc/scripts/recall_temporal_facts.py --query "your topic" HOOKS (9 event types registered) -------------------------------- SessionStart → Load continuity ledger, rebuild symbol index UserPromptSubmit → Skill activation check, context injection PreToolUse → Smart search routing (Grep → TLDR for code) PostToolUse → File claims, compiler feedback PreCompact → Save state before context compaction Stop → Extract learnings, create handoffs SubagentStart → Register spawned agents SubagentStop → Coordination, handoff creation SessionEnd → Cleanup CONTINUITY SYSTEM ----------------- Ledger: thoughts/ledgers/CONTINUITY_CLAUDE-{session}.md Handoffs: thoughts/shared/handoffs/{session}/*.yaml Commands: /resume_handoff <path> - Continue from handoff /create_handoff - Create snapshot for transfer TLDR CODE INTELLIGENCE ---------------------- 5-layer analysis: AST → Call Graph → CFG → DFG → PDG 95% token savings vs reading raw files Auto-intercepts Grep for .py/.ts/.go/.rs files Pre-built index: /tmp/claude-symbol-index/symbols.json SETUP ----- Run: uv run python opc/scripts/setup/wizard.py Options: [1] SQLite only (simple, offline) [2] PostgreSQL + pgvector (semantic search) ``` ## Key Files | Component | Location | |-----------|----------| | Hook registration | `.claude/settings.json` | | Hook implementations | `.claude/hooks/src/*.ts` | | Rules (auto-injected) | `.claude/rules/*.md` | | Skills | `.claude/skills/*/SKILL.md` | | Setup wizard | `opc/scripts/setup/wizard.py` | | Recall script | `opc/scripts/recall_temporal_facts.py` | | Store learning | `opc/scripts/core/store_learning.py` | | Symbol index builder | `opc/scripts/build_symbol_index.py` | ## Environment Variables | Variable | Purpose | |----------|---------| | `CONTINUOUS_CLAUDE_DB_URL` | PostgreSQL connection | | `VOYAGE_API_KEY` | Embeddings (optional) | | `BRAINTRUST_API_KEY` | Tracing (optional) | | `CLAUDE_PROJECT_DIR` | Auto-set by Claude Code |
عرض على GitHub