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neo-research
shihwesley ★ 4
neo-research turns any topic into structured agent expertise by building a question tree, discovering sources, fetching content to a knowledge store, and distilling targeted excerpts into compact mental models—without bloating context windows. It includes sandboxed Python execution in Docker containers for code analysis, DSPy sub-agents, and REPL-based knowledge distillation.
Install
> /plugin marketplace add shihwesley/neo-research
> /plugin install neo-research
What it's made of
3 agents · 4 skills · 1 MCP server · 2 hooks
- Commands
- 0
- Agents
- 3
- Skills
- 4
- MCP servers
- 1
- Hooks
- 2 · PostToolUse
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
context7-to-mv2.shpython3start-server.sh- Talks to
- nothing external detected
Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
Is this your plugin?
Claim it to keep the card accurate and enter the weekly contest. Requires signing in as the GitHub owner (shihwesley).