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System overview

Skill parcadei/Continuous-Claude-v3/.claude/skills/system_overview

Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordinationFrom its SKILL.md

Install
npx -y skills add parcadei/Continuous-Claude-v3 --skill system_overview

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.7 KB, 632 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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