trace-claude-code
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool…
Get a token-efficient overview of any project using the TLDR stack
Claude Code
$ npx -y skills add parcadei/Continuous-Claude-v3 --skill tldr-overview --agent claude-code
Codex
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview -a codex -y
Cursor
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview -a cursor -y
Gemini CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview -a gemini-cli -y
GitHub Copilot
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview -a github-copilot -y
OpenCode
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview -a opencode -y
Windsurf
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-overview -a windsurf -y
name: tldr-overview description: Get a token-efficient overview of any project using the TLDR stack
Get a token-efficient overview of any project using the TLDR stack.
tldr tree . --ext .py # or .ts, .go, .rs
tldr structure src/ --lang python --max 50
Returns: functions, classes, imports per file
tldr calls src/
Returns: cross-file relationships, main entry points
For each entry point found:
tldr cfg src/main.py main # Get complexity
## Project Overview: {project_name}
### Structure
{tree output - files and directories}
### Key Components
{structure output - functions, classes per file}
### Architecture (Call Graph)
{calls output - how components connect}
### Complexity Hot Spots
{cfg output - functions with high cyclomatic complexity}
---
Token cost: ~{N} tokens (vs ~{M} raw = {savings}% savings)from tldr.api import get_file_tree, get_code_structure, build_project_call_graph
# 1. Tree
tree = get_file_tree("src/", extensions={".py"})
# 2. Structure
structure = get_code_structure("src/", language="python", max_results=50)
# 3. Call graph
calls = build_project_call_graph("src/", language="python")
# 4. Complexity for hot functions
for edge in calls.edges[:10]:
cfg = get_cfg_context("src/" + edge[0], edge[1])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
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool…
Guide for integrating Agentica SDK with Claude Code CLI proxy
Reference guide for Agentica multi-agent infrastructure APIs
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
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