umputun-ralphex

Repository of reusable agents, skills, and utilities designed for Claude integration and multi-agent orchestration.

200 skills · 85 agents · hooks

Enterprise multi-agent swarm platform enabling distributed autonomous workflows with RAG integration and Claude Code support.

200 skills · 3 MCP servers

Claude skill for coordinating multiple agents in collaborative novel writing. Manages character consistency, plot coherence, and multi-perspective narrative generation.

200 skills

Development framework featuring cognitive automation and collaborative agent systems. Redefines development through AI-powered agent coordination.

196 skills

Ready-to-use agent skills for research, science, engineering, analysis, finance, and technical writing across domains.

181 skills

AI-native development platform converting chat-based coding into structured workflows with code intelligence, spec-driven planning, and agent orchestration.

150 skills

Autonomous /loop-driven task completion with learning, prediction, and progress tracking

2 skills · 2 commands · 1 agent

Web scraping and crawling powered by Firecrawl. Turn any website into clean, LLM-ready markdown or structured data. Scrape single pages, crawl entire sites, search the web, and extract structured information. Includes an AI agent for autonomous multi-source data gathering - just describe what you need and it finds, navigates, and extracts automatically.

3 skills · 1 MCP server

Autonomous experiment loop — optimize any file by a measurable metric. 5 slash commands (/autoresearch-agent:setup, /ar-run, /ar-loop, /ar-status, /ar-resume), 8 built-in evaluators, configurable loop intervals (10min to monthly).

6 skills · 1 agent · hooks

Persistent project planning files with lifecycle hooks that inject selected plan context. Automatic recovery uses project files only. Explicit catchup modes may read same-project local session records to emit aggregate counts or bounded nonce-framed excerpts. Optional gated mode can request continuation on capable hosts and never runs commands declared in Markdown. No network upload path. Installs across 60+ agents.

6 skills · 13 commands · hooks

PRD generation and conversion skills for the Ralph autonomous agent loop

2 skills

Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).

19 skills