trace-claude-code
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Maps questions to the optimal tldr command. Use this to pick the right layer
$ npx -y skills add parcadei/Continuous-Claude-v3 --skill tldr-router --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tldr-routerContext preview
The summary Claude sees to decide when to auto-load this skill.
Maps questions to the optimal tldr command. Use this to pick the right layer
name: tldr-router description: Maps questions to the optimal tldr command. Use this to pick the right layer
Maps questions to the optimal tldr command. Use this to pick the right layer.
tldr tree . --ext .py # File overview tldr structure src/ --lang python # Function/class overview
**Use:** Starting exploration, orientation
tldr context <function> --project . --depth 2 tldr calls src/
**Use:** Understanding architecture, finding entry points
tldr cfg <file> <function>
**Use:** Identifying refactoring candidates, understanding difficulty
tldr dfg <file> <function>
**Use:** Debugging, understanding data flow
tldr slice <file> <function> <line>
**Use:** Impact analysis, safe refactoring
tldr search "pattern" src/
**Use:** Finding code, structural search
START │ ├─► "What exists?" ──► tree / structure │ ├─► "How does X connect?" ──► context / calls │ ├─► "Why is X complex?" ──► cfg │ ├─► "Where does Y flow?" ──► dfg │ ├─► "What depends on Z?" ──► slice │ └─► "Find something" ──► search
| Intent | Keywords | Layer | |--------|----------|-------| | Navigation | "what", "where", "find", "exists" | tree, structure, search | | Architecture | "calls", "uses", "connects", "depends" | context, calls | | Complexity | "complex", "refactor", "branches", "paths" | cfg | | Data Flow | "variable", "value", "assigned", "comes from" | dfg | | Impact | "affects", "changes", "slice", "dependencies" | slice/pdg | | Debug | "bug", "error", "investigate", "broken" | cfg + dfg + context |
The `tldr-read-enforcer` and `tldr-context-inject` hooks automatically: 1. Detect intent from your messages 2. Route to appropriate layers 3. Inject context into tool calls
You don't need to manually run these commands - the hooks do it for you.
If you need a specific layer the hooks didn't provide:
# Force specific analysis tldr cfg path/to/file.py function_name tldr dfg path/to/file.py function_name tldr slice path/to/file.py function_name 42
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
Repo: parcadei/Continuous-Claude-v3
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Guide for integrating Agentica SDK with Claude Code CLI proxy
Reference guide for Agentica multi-agent infrastructure APIs