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system-overview

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

Quellinformationen

Repository
vibeeval/vibecosystem
Letzte Quellaktivität
13. April 2026 um 00:39
Erkannte Sprache von SKILL.md
Englisch
Sterne
538
Forks
47

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
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 |
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