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.
An open-source local roleplay project combines Gemma 4 QAT and FLUX to run a 256K context narrator and image generator entirely on consumer hardware.
A new pipeline integrates Ideogram 4, Qwen Image Edit, and Wan 2.2 to produce highly consistent AI-generated videos.
Doug Fir Labs open-sourced Scholialang, a vendor-neutral protocol designed to convert AI agent reasoning into structured, reusable records rather than freeform chat logs.
An adversarial code review experiment highlights key vulnerabilities and behavioral patterns when AI agents evaluate each other's work.
OpenAI is rolling out the ability for users to save and bank rate limit resets for later use.
A native macOS Markdown reader has been released that supports real-time annotations and one-click AI revision of review comments.
Anthropic has unveiled its fifth-generation models, Claude Fable 5 and Mythos 5, alongside major platform and Claude Code upgrades including Managed Agents.
Hugging Face Transformers v5.12.0 has been released, introducing native integration for the high-capacity MiniMax-M3-VL vision-language model.