rikdc-reeds

Autonomous multi-agent coding system with 90+ specialized commands for development, testing, documentation, security, debugging, and Salesforce workflows.

96 skills · 109 commands · 15 agents · 1 MCP server · hooks

Intelligent task dispatch and performance tracking system for worker-agent coordination.

200 skills · 3 MCP servers

Configure persistent memory storage for OpenClaw skills to maintain state across conversations and interactions.

200 skills

Comprehensive open-source library of AI research and engineering skills enabling AI agents to conduct research and solve complex problems.

98 skills

Collection of specialized agents, commands, and templates for understanding, analyzing, and documenting codebases.

50 skills

Comprehensive guidance for designing, building, and troubleshooting Claude Code subagents with system prompts, tool access, and best practices.

44 skills · 1 MCP server

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