ECC
Installs a system of pre-built agents, skills, and rules to enhance AI coding assistants like Claude Code and Cursor.
The definitive hub for **Agent Harnesses**, **Autonomous Skills**, and **Agentic Tools**.
Featured Harnesses
Installs a system of pre-built agents, skills, and rules to enhance AI coding assistants like Claude Code and Cursor.
Bypass bot detection systems with a modified Chromium browser for web scraping and automation.
Organize game development in Claude Code using a pre-configured team of 49 specialized AI agents and 72 workflow commands.
Programmatically create vector animations and synchronize them to audio using a TypeScript library and a real-time preview editor.
Create MP4 videos programmatically using React components, CSS, and other web technologies.
Run a private, local AI roleplaying game with on-device text and image generation, connecting to Ollama or other local LLMs.
Imports local Markdown files into the X (Twitter) Articles editor using a command-line script and a Chrome extension.
Visualize Claude token usage and estimate costs by scanning local logs and serving a dashboard in your browser or VS Code.
Strategic guidance on agent skills and autonomous orchestration.
By combining Google's Quantization-Aware Training models with GGUF quantization and speculative decoding, developers can run highly accurate 12B parameter LLMs at production-level speeds on consumer hardware, drastically reducing latency…
Your agent isn't failing because the model is too dumb. It's failing because tool design, state management, and error recovery are broken — and that's an engineering problem.
Naive web scrapers often fail due to IP bans and CAPTCHAs; advanced tools with anti-blocking mechanisms, JavaScript rendering, and stealth features are essential for large-scale data extraction.
Treating prompt design like creative direction—defining role, sequencing steps, and setting boundaries—helps bridge the gap between vague intent and reliable AI output.
85% of Claude Code tasks don't need Claude. Route commodity work to DeepSeek V3 (35x cheaper) via OpenRouter or LiteLLM and save 70-85% on AI spend.
AI agents ship code 55% faster. Review queues grow 40% faster than capacity. The bottleneck moved — most teams have no metric for it.
Daily curated RSS feeds from across the agentic landscape, parsed and summarized for rapid ingestion.
Anthropic has suspended user access to Claude Fable 5 following a U.S. government export control directive.
Anthropic has disabled access to its Fable 5 and Mythos 5 models for all users following a US government national security export control directive.
A new visual custom node for ComfyUI simplifies the creation of structured JSON prompts for Ideogram v4 workflows.
Anthropic's Fable 5 improves output quality through persistent memory notes rather than weight retraining, yielding significant performance gains.
A comparative evaluation reveals general frontier LLMs outperform specialized medical AI tools, questioning the value of domain-specific clinical tuning.
Simon Willison updated his WebRTC audio playground to support the new GPT-Realtime-2 model and custom document injection.
A new resource compiles AI engineering interview questions focusing on LLMs, RAG, and Agents to help developers prep or hire.
Longbow is an Apache Arrow Flight clustered vector engine built in Go for high-throughput Agent memory sharing.