4 plugins, each analyzed from its own files.
fcakyon
This plugin provides Git and GitHub workflow automation through 4 agents and 7 skills, handling commits, pull requests, code reviews, and comment resolution with built-in safety hooks. It integrates validation tools for commit types, visual proof requirements, and AI attribution checks directly into your development workflow.
4 agents · 7 skills · 5 hooks
#git-workflow#github-automation#code-review#pr-management
fcakyon
This plugin provides guardrails and debugging tools for research workflows, catching AI mistakes in paper reproduction and experiment tracking before they become costly. It includes citation validation, LaTeX checking, timezone handling, and evidence-first experiment comparison through shell-based guards and hooks.
6 commands · 2 agents · 12 skills · 12 hooks
#research-workflows#paper-reproduction#experiment-tracking#arxiv-integration
nyldn
Claude Octopus is a multi-LLM orchestration plugin that integrates up to ten external AI providers (Codex, Copilot, Qwen, Ollama, Perplexity, OpenRouter, OrcaRouter, OpenCode, Grok) alongside Claude for consensus-gated code review, research, and multi-model workflows. It provides 53 commands, 49 specialized agent personas, 62 reusable skills, and structured four-phase methodology (Discover→Define→Develop→Deliver) with quality gates, persistent memory integration, and autonomous pipeline execution.
53 commands · 49 agents · 62 skills · 30 hooks
#multi-llm-consensus#code-orchestration#adversarial-review#provider-routing
alexei-led
dev-flow provides code review, automated fixes, commit management, and linting for development workflows through 2 agents and 6 skills integrated via hooks. It uses local tools (node, bash, python3) to run shell-based linting and code quality checks without external API dependencies.
2 agents · 6 skills · 6 hooks
#code-review#linting#automated-fixes#git-commits