system-overview
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
소스 정보
- 저장소
- parcadei/Continuous-Claude-v3
- 최근 소스 활동
- 2026년 1월 22일 10:54
- 감지된 SKILL.md 언어
- 영어
- 스타
- 3,943
- 포크
- 303
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- name
- system-overview
- description
- Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
# 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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