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Search CLAUDE , found 64 results

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Session Learning Patterns

continuous-learning

affaan-m/everything-claude-code

Automatically evaluates Claude Code sessions at the Stop hook, identifies reusable patterns, and stores them as learned skills for future reuse, helping you capture troubleshooting steps, debugging techniques, and project conventions without manual effort.

Instinct Learning System

continuous-learning-v2

affaan-m/everything-claude-code

Observes Claude sessions via PreToolUse/PostToolUse hooks, distills atomic instincts with confidence scores, and clusters them into reusable skills, commands, or agents.

Claude Eval Harness

affaan-m/everything-claude-code

Formal evaluation framework for Claude Code sessions that applies evaluation-driven development to define capability and regression checks, run deterministic and model graders, and track pass@k/pass^k reliability metrics before shipping.

Multi-Agent Claude Orchestrator

jeremylongshore/claude-code-plugins-plus-skills

Gastown orchestrates parallel Claude Code agents, providing CLI tools to install, set up workspaces, track beads, manage agent lifecycles, recover from crashes, and merge outputs via the Refinery while reporting health and statuses.

Langfuse LLM Tracing Workflow

langfuse-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Guides setup of Langfuse tracing for LLM pipelines, covering automatic OpenAI wrapping, manual spans, streaming responses, and parent-child trace linking for end-to-end observability.

LLM Integration Patterns

llm-integration

rohitg00/awesome-claude-code-toolkit

Practical guide to integrating Claude models: covers API client usage, streaming responses, tool calls, RAG pipelines, document chunking, cost-aware model selection, and anti-pattern warnings for efficient LLM workflows.

OpenRouter Function Calling

openrouter-function-calling

jeremylongshore/claude-code-plugins-plus-skills

Use this skill to implement OpenRouter function and tool calling when building agents or structured outputs with supported models such as GPT-4 or Claude, covering prerequisites, implementation guidance, testing, and production monitoring for API integrations.

Multi-Agent Orchestration

orchestrating-multi-agent-systems

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to orchestrate multi-agent systems using AI SDK v5, setting up agents, handoffs, intelligent routing, and workflows across OpenAI, Anthropic, and Google when users request complex agent coordination.

Computer Vision Processing

processing-computer-vision-tasks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to invoke the computer-vision-processor plugin, auto-generating Python calls to run object detection, classification, and segmentation on user-provided images for detailed analysis.

LLM Cache Strategies

sickn33/antigravity-awesome-skills

Covers prompt and response caching plus Cache Augmented Generation patterns for LLMs such as Claude and OpenAI to reuse stable context, reduce repeat work, and cut latency/cost on recurring queries.

Claude Skill Stocktake

skill-stocktake

affaan-m/everything-claude-code

Provides a slash command that audits every Claude skill and command using an AI-assisted checklist plus multi-mode scanning to catch regressions or outdated references before they ship.

Superpowers Lab Environment Guide

superpowers-lab

sickn33/antigravity-awesome-skills

This skill provides a dedicated lab environment and pattern guidance for exploring and utilizing advanced, complex capabilities within the Claude AI framework. Use it when you need a structured space to test, develop, and understand advanced AI workflows and powerful features.

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