Skip to content
Automation
Skill

/diverga

Diverga Dashboard - Live configuration status and feature overview. 24 specialized agents across 9 categories for social science research. VS methodology prevents mode collapse. Human checkpoints enforce human-in-the-loop decisions. Triggers: /diverga, diverga dashboard, diverga

From plugin
auto-empirical-research-skills
4.9k200 skills

Claude Code

$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill diverga --agent claude-code

SKILL.md

diverga.SKILL.md
name: diverga
description: |
  Diverga Dashboard - Live configuration status and feature overview.
  24 specialized agents across 9 categories for social science research.
  VS methodology prevents mode collapse. Human checkpoints enforce human-in-the-loop decisions.
  Triggers: /diverga, diverga dashboard, diverga status
version: "12.0.1"

Diverga Dashboard

When the user runs `/diverga` (the base command), display a live configuration dashboard.

Instructions

Display the following dashboard by reading live configuration and environment state. Use plain text output (no tool calls needed for display — just output the text directly).

Step 1: Display ASCII Logo

Output this exact logo block:

╔═══════════════════════════════════════════════════════════════════════════════╗
║                                                                               ║
║             ██████╗ ██╗██╗   ██╗███████╗██████╗  ██████╗  █████╗              ║
║             ██╔══██╗██║██║   ██║██╔════╝██╔══██╗██╔════╝ ██╔══██╗             ║
║             ██║  ██║██║██║   ██║█████╗  ██████╔╝██║  ███╗███████║             ║
║             ██║  ██║██║╚██╗ ██╔╝██╔══╝  ██╔══██╗██║   ██║██╔══██║             ║
║             ██████╔╝██║ ╚████╔╝ ███████╗██║  ██║╚██████╔╝██║  ██║             ║
║             ╚═════╝ ╚═╝  ╚═══╝  ╚══════╝╚═╝  ╚═╝ ╚═════╝ ╚═╝  ╚═╝             ║
║                                                                               ║
║              * Diverge from the Modal · Discover the Exceptional              ║
║                                                                               ║
╚═══════════════════════════════════════════════════════════════════════════════╝

Step 2: Read Configuration

Read `config/diverga-config.json` (relative to the plugin directory at `~/.claude/plugins/diverga/config/diverga-config.json`). Extract:

  • `human_checkpoints.level` or infer from `human_checkpoints.enabled` + `human_checkpoints.required`
  • `hud.preset` if present
  • `language`
  • `version`

If config file doesn't exist, show "Not configured — run /diverga:setup"

Step 3: Check Project Status

Check if `.research/project-state.yaml` exists in the current working directory.

  • If exists: read project name, current stage, and checkpoint status
  • If not: show "No active project"

Step 4: Check API/MCP Status

Check these environment variables and report status:

  • `SEMANTIC_SCHOLAR_API_KEY` — for paper retrieval
  • `OPENALEX_EMAIL` — for OpenAlex polite pool
  • `SCOPUS_API_KEY` — for Scopus access
  • `WOS_API_KEY` — for Web of Science access
  • `GROQ_API_KEY` — for LLM screening (recommended)
  • `ANTHROPIC_API_KEY` — for Claude API screening
  • `OPENAI_API_KEY` — for OpenAI screening
  • `GEMINI_API_KEY` — for Gemini visualization

For each: show "configured" if set, "not set" if unset, with setup hint.

Step 5: Display Dashboard

Combine all information into this format:

SYSTEM STATUS
  Version:     11.0.0
  Agents:      24 agents across 9 categories (A-G, I, X)
  Status:      Ready

CONFIGURATION
  Checkpoint:  [level from config or "Full (default)"]
  HUD Preset:  [preset from config or "research (default)"]
  VS Method:   Enabled

PROJECT
  Active:      [project name or "No active project"]
  Stage:       [stage or "-"]
  Memory:      [healthy/no project]

API STATUS (Paper Retrieval)
  Semantic Scholar:   [configured/not set -> export SEMANTIC_SCHOLAR_API_KEY=...]
  OpenAlex:           [configured (email: ...)/not set -> export OPENALEX_EMAIL=your@email.com]
  Scopus:             [configured/not set -> export SCOPUS_API_KEY=...]
  Web of Science:     [configured/not set -> export WOS_API_KEY=...]

LLM PROVIDERS (Batch Screening via I2)
  Groq:               [configured/not set -> export GROQ_API_KEY=...]
                      llama-3.3-70b — $0.01/100 papers (recommended)
  Anthropic API:      [configured/not set -> export ANTHROPIC_API_KEY=...]
                      claude-haiku-4-5 — $0.15/100 papers
  OpenAI:             [configured/not set -> export OPENAI_API_KEY=...]
                      gpt-4o-mini — ~$0.02/100 papers

MCP INTEGRATIONS
  Zotero:             [detected/not available -> /diverga:setup for guidance]
  Claude Code Browser: [detected/not available]
  Gemini:             [configured/not set -> export GEMINI_API_KEY=...]

QUICK ACTIONS
  /diverga:setup     Initial configuration
  /diverga:doctor    System diagnostics
  /diverga:help      All 24 agents & commands
  /diverga:memory    Project context & status
  /diverga:hud       HUD display settings
  "Start a systematic review on [topic]"  -> Begin research

Step 6: Offer MCP Setup Guidance (if requested)

If the user asks about Zotero MCP setup, provide:

Zotero MCP enables:
- Auto-import retrieved papers into Zotero library
- Collection management during screening (Included/Excluded)
- Bibliography generation in any citation style
- Citation insertion during manuscript writing

Setup:
1. Install Zotero desktop app (zotero.org)
2. Install Zotero MCP server
3. Add to Claude Code MCP config
4. Restart Claude Code

If the user asks about Claude Code Browser:

Claude Code Browser enables:
- Automated search queries on institutional databases (WoS, Scopus, ERIC)
- Guided export from university-licensed portals
- Semi-automated paper collection from any web-based database

Status: Available if Chrome extension is installed.
No additional setup needed.

Implementation Notes

  • Use Bash tool to check environment variables: `echo $VARIABLE_NAME`
  • Use Read tool to check config file existence and contents
  • Use Glob tool to check for `.research/project-state.yaml`
  • Display everything as formatted text output
  • The dashboard is READ-ONLY — it doesn't modify any files
  • If any check fails, show graceful fallback (e.g., "Unable to determine" instead of errors)
Read more
@brycewang-stanford
Ships withauto-empirical-research-skills

## 🔥 力荐 · StatsPAI — Stata 与 R 的 Python 平替,为 AI Agent 而生 🔁 Stata / R 平替:reghdfe、csdid、rdrobust、synth、fixest、did 等常用命令在 Python 中一站式替代,一个 import statspai as sp 搞定 DID / RD / IV / SCM / DML / matching 🤖 面向 Agent 设计:结构化结果对象 + 内置 MCP Server,Claude / Codex

4.9k200 skills
Get the whole plugin

Stars on GitHub

Momentum

stars in total
4.9k
Star history of brycewang-stanford/Auto-Empirical-Research-Skills on GitHub, a chart by star-history.com

More skills from other plugins.

agent-builder

agent-builder

Load immediately after an Agent intent, before the first agent_builder_* call. Governs how you create, configure, test, and…

n8n11d209k
@n8n-io@n8n-ioInstall Skill
browser-use

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…

@browser-use@browser-useInstall Skill
agent-browser

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…

@vercel-labs-2@vercel-labs-2Install Skill
add-anydoc

add-anydoc

Add local office-document-to-Markdown conversion to NanoClaw agent containers with the pinned Firecrawl AnyDoc CLI. Use when…

@nanocoai@nanocoaiInstall Skill

Questions about diverga.

Which coding agents can use diverga?
diverga installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.