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Search claude-code , found 204 results

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Caveman Format File Compression

caveman-compress

JuliusBrussee/caveman

This skill compresses natural language files like CLAUDE.md or todo lists into a concise "caveman" format to reduce input tokens for AI models. It preserves code blocks, technical terms, and structure while removing filler words. The compressed file overwrites the original, with a backup saved in a secure data directory. Triggered via "/caveman-compress <filepath>".

DeerFlow AI Agent Interaction API

claude-to-deerflow

bytedance/deer-flow

This skill provides comprehensive interaction with the DeerFlow AI agent platform via its robust HTTP API. It is designed for managing complex, multi-step AI workflows, including deep academic research, code execution, web browsing, and file analysis. Users can initiate and continue conversation threads, manage agent memory, upload documents (PDF, etc.), and delegate complex research tasks to the autonomous agent system.

Iterative Verification Loop Protocol

This CLI alias implements the PUA Loop protocol, designed for running structured, iterative verification cycles. It helps developers set up and manage complex coding tasks that require explicit verification commands and defined stop conditions. It serves as a powerful wrapper for AI coding assistants like Codex/Claude, ensuring robust and traceable development workflows.

Advanced AI Context Architecture Tool

sickn33/antigravity-awesome-skills

FAF Expert is an advanced tool for creating standardized, persistent context for complex software projects. It uses the IANA-registered FAF format to transform codebases into AI-intelligent assets. Use it for multi-AI workflow management (Claude, Gemini, etc.), enterprise-grade deployment, and standardizing project context across development lifecycles.

Python MCP Server Generator

python-mcp-server-generator

github/awesome-copilot

Build a Python Model Context Protocol (MCP) server with the official MCP Python SDK v2: uv project setup, typed tools and error handling, in-memory pytest tests, and client configuration for VS Code or Claude Desktop.

Generate Code Session Usage Reports

anthropics/claude-plugins-official

Analyzes and generates a self-contained, explorable HTML report detailing usage metrics for Claude Code sessions. It tracks token consumption (input/output), subagent usage, skill calls, and cache efficiency across specified time ranges. This tool helps developers visualize resource waste and pinpoint areas for workflow optimization, ensuring cost-effective and efficient AI development cycles.

Advanced Anthropic API Debugging Guide

anth-advanced-troubleshooting

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for developers encountering complex issues with the Claude API, including context window overflow management, debugging tool use failures, handling streaming corruption, and diagnosing unexpected stop reasons. Provides Python code snippets and diagnostic commands to ensure robust AI integration.

Claude Application Architecture Patterns

clade-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide detailing five robust architectural patterns for building applications powered by Claude, including Chatbot, RAG, Agent, Content Pipeline, and Evaluation. It provides complete code examples and decision matrices to help developers select the optimal architecture based on project requirements, cost, and complexity.

Collect Anthropic Debug Evidence

clade-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive tool designed to help developers gather all necessary evidence when facing persistent issues or API errors with Anthropic's Claude models. It collects vital data points such as the request ID, full error payloads, status codes, and provides reproducible cURL commands, ensuring developers can file high-quality support tickets.

OpenAI To Anthropic Claude Migration Guide

clade-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a deep dive into migrating applications from OpenAI's GPT models to Anthropic's Claude API. It covers crucial API differences, including endpoint changes, response structure updates, handling the system prompt, tool use restructuring, and necessary SDK code swaps (e.g., TypeScript examples). Essential resource for developers transitioning AI backends.

Claude Code Plugin Architecture Guide

clade-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the full plugin architecture for extending Claude Code. Learn how to build various extension points, including auto-activating skills, slash commands, specialized agents, and Model Context Protocol (MCP) servers. It serves as the definitive reference for integrating custom tools and workflows into the Claude ecosystem.

Migrate Anthropic Models And SDKs

clade-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for developers on upgrading the Anthropic SDK versions and migrating between different Claude model generations. It covers best practices for version checking, reviewing breaking changes, updating model IDs across the codebase, running output comparison tests, and implementing gradual rollouts using environment variables to ensure stable deployment.

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