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system-overview

system-overview

github.com/parcadeiAgent workflows3.9k473 installsUpdated 39w ago
Repository

About system-overview

system-overview is a skill that explains how Continuous Claude works, including its hooks, memory, and coordination setup. It is intended for users asking about the system or its retained information.

Key features

  1. 01Explains the memory layer
  2. 02Describes automatic session-end learning extraction
  3. 03Lists hooks, rules, and skills locations
  4. 04Documents setup and recall scripts
  5. 05Identifies configuration environment variables

Use cases

  1. 01Explain the Continuous Claude setup
  2. 02Answer questions about remembered information
  3. 03Locate hook and rule implementations
  4. 04Review database and optional service configuration

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill system-overview

After installing, type/system-overviewin Claude Code to confirm it loaded.

Details

From the project README

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

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

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