System Overview

SkillDocs & knowledge

Lets 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.

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

ComponentLocation
Hook registration.claude/settings.json
Hook implementations.claude/hooks/src/*.ts
Rules (auto-injected).claude/rules/*.md
Skills.claude/skills/*/SKILL.md
Setup wizardopc/scripts/setup/wizard.py
Recall scriptopc/scripts/recall_temporal_facts.py
Store learningopc/scripts/core/store_learning.py
Symbol index builderopc/scripts/build_symbol_index.py

Environment Variables

VariablePurpose
CONTINUOUS_CLAUDE_DB_URLPostgreSQL connection
VOYAGE_API_KEYEmbeddings (optional)
BRAINTRUST_API_KEYTracing (optional)
CLAUDE_PROJECT_DIRAuto-set by Claude Code

Signals

GitHub stars
4k
Forks
300
Last commit
Jan 2026
Advanced
Catalog kind
skill
Gateway key
system-overview
Source
github.com/parcadei/continuous-claude-v3