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Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination

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continuous-claude-v3
3.9k156 skills32 agents

Claude Code

$ npx -y skills add parcadei/Continuous-Claude-v3 --skill system_overview --agent claude-code

SKILL.md

system_overview.SKILL.md
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 |

Read more
@parcadei
Ships withcontinuous-claude-v3

A persistent, learning, multi-agent development environment built on Claude Code Continuous Claude transforms Claude Code into a continuously learning system that maintains context across sessions, orchestrates specialized agents, and eliminates wasting

3.9k156 skills32 agents
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Questions about system_overview.

Which coding agents can use system_overview?
system_overview installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.