System Overview
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
Specification
- Skill ID
- parcadei/continuous-claude-v3/system-overview
- Publisher
- parcadei
- Repository
- continuous-claude-v3
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
How to use it
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
parcadei/continuous-claude-v3/system-overviewInstalls these files- SKILL.md
What this skill tells the agent
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 |
More from parcadei
Use this skill in a project
Open any RiverX project, search the Skills panel for parcadei/continuous-claude-v3/system-overview, and install it in one click.