System Overview
SkillDocs & knowledgeLets your agent explain how the Continuous Claude setup works, including its hooks, memory, and coordination.
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the System Overview skill
About this capability
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
What this skill tells your AI
The instructions your AI receives, as published by parcadei/continuous-claude-v3 in .claude/skills/system_overview/SKILL.md and read by ahel’s review.
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 |
Signals
- GitHub stars
- 4k
- Forks
- 300
- Last commit
- Jan 2026
Advanced
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- skill
- Gateway key
system-overview- Source
- github.com/parcadei/continuous-claude-v3