inferred from GitHub
plugins research wiki
Core trick
An LLM maintains a wiki of rated plugin pages and files each query answer back with citations, so the knowledge compounds.
Evidence
README matched ""Cerebral Valley" "Opus 4.6"": wiki/raw/web/affaan-m__ECC__README.md
README excerpt
# Plugins Research Wiki A structured, LLM-maintained knowledge base of AI coding agent plugins, skills, and sub-agents. Built for one purpose: **query the wiki to quickly create your own skills or sub-agents.** ## How It Works The wiki catalogs quality-rated plugins from across the ecosystem — Claude Code, Codex, Pi, and platform-agnostic tools. Each plugin page tells you what it is, what it includes, and exactly how to use it. Pattern pages surface the recurring techniques so you can see the shared DNA across plugins. When you ask a question, the wiki synthesizes an answer with citations and files it back — so the knowledge compounds. ## Query The main feature. Ask anything against the wiki: ``` /query ``` **What you can ask:** - *"What are the common elements of skills used for creating a plan?"* - *"Which plugins use sub-agent delegation, and how do their approaches differ?"* - *"How does compound-engineering-plugin's review loop compare to Anthropic's Code Review?"* - *"What's the best way to add spec-driven development to my workflow?"* Answers are synthesized from wiki pages with `[[wikilinks]]` as citations. At the end, you're offered the chance to file the synthesis back into the wiki — so your explorations become permanent reference material. ## Quality Rubric Plugins are scored on a 5-dimension rubric against observable evidence, not star counts. The methodology lives in `wiki/raw/analysis/evaluation-report.md`. | Dimension | What it scores | |---|---| |