system-overview
Explains how the Continuous Claude system manages session memory, code intelligence, and agent handoffs.
Install
mkdir -p .claude/skills/system-overview && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3469" && unzip -o skill.zip -d .claude/skills/system-overview && rm skill.zipInstalls to .claude/skills/system-overview
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordinationKey capabilities
- →Explain the memory layer and temporal fact storage
- →Describe hook-based event handling
- →Provide commands for continuity management
- →Explain TLDR code intelligence analysis
- →Guide system setup via wizard
How it works
The skill provides a structured overview of the system's architecture, including memory, hooks, and continuity commands.
Inputs & outputs
When to use system-overview
- →Learning how the AI remembers past facts
- →Understanding system hooks and event types
- →Checking available continuity commands
- →Explaining the setup to new teammates
About this skill
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 |
When not to use it
- →When the user is not using the Continuous Claude system
Limitations
- →Limited to the Continuous Claude system architecture
- →Requires specific environment variables for full functionality
How it compares
It provides a specific, opinionated system overview rather than general AI documentation.
Compared to similar skills
system-overview side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| system-overview (this skill) | 1 | 6mo | No flags | Beginner |
| skill-development | 17 | 9mo | Review | Intermediate |
| skill-writer | 27 | 9mo | Review | Beginner |
| microsoft-skill-creator | 6 | 4mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by parcadei
View all by parcadei →You might also like
skill-development
anthropics
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
skill-writer
pytorch
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
microsoft-skill-creator
MicrosoftDocs
Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
cartographer
kingbootoshi
Maps and documents codebases of any size by orchestrating parallel subagents. Creates docs/CODEBASE_MAP.md with architecture, file purposes, dependencies, and navigation guides. Updates CLAUDE.md with a summary. Use when user says "map this codebase", "cartographer", "/cartographer", "create codebase map", "document the architecture", "understand this codebase", or when onboarding to a new project. Automatically detects if map exists and updates only changed sections.
creating-skills
letta-ai
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.
index-knowledge
tursodatabase
Generate hierarchical AGENTS.md knowledge base for a codebase. Creates root + complexity-scored subdirectory documentation.