From atum-workflows
Neural searches for web content, code examples from GitHub/Stack Overflow, company intel, and people via Exa tools. Activates for current info, technical refs, or research queries.
npx claudepluginhub arnwaldn/atum-plugins-collection --plugin atum-workflowsThis skill uses the workspace's default tool permissions.
Neural search for web content, code, companies, and people via the Exa MCP server.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Processes code review feedback technically: verify suggestions against codebase, clarify unclear items, push back if questionable, implement after evaluation—not blind agreement.
Neural search for web content, code, companies, and people via the Exa MCP server.
Exa MCP server must be configured. Add to ~/.claude.json:
"exa-web-search": {
"command": "npx",
"args": ["-y", "exa-mcp-server"],
"env": { "EXA_API_KEY": "YOUR_EXA_API_KEY_HERE" }
}
Get an API key at exa.ai.
This repo's current Exa setup documents the tool surface exposed here: web_search_exa and get_code_context_exa.
If your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts.
General web search for current information, news, or facts.
web_search_exa(query: "latest AI developments 2026", numResults: 5)
Parameters:
| Param | Type | Default | Notes |
|---|---|---|---|
query | string | required | Search query |
numResults | number | 8 | Number of results |
type | string | auto | Search mode |
livecrawl | string | fallback | Prefer live crawling when needed |
category | string | none | Optional focus such as company or research paper |
Find code examples and documentation from GitHub, Stack Overflow, and docs sites.
get_code_context_exa(query: "Python asyncio patterns", tokensNum: 3000)
Parameters:
| Param | Type | Default | Notes |
|---|---|---|---|
query | string | required | Code or API search query |
tokensNum | number | 5000 | Content tokens (1000-50000) |
web_search_exa(query: "Node.js 22 new features", numResults: 3)
get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000)
web_search_exa(query: "Vercel funding valuation 2026", numResults: 3, category: "company")
web_search_exa(query: "site:linkedin.com/in AI safety researchers Anthropic", numResults: 5)
web_search_exa(query: "WebAssembly component model status and adoption", numResults: 5)
get_code_context_exa(query: "WebAssembly component model examples", tokensNum: 4000)
web_search_exa for current information, company lookups, and broad discoverysite:, quoted phrases, and intitle: to narrow resultstokensNum (1000-2000) for focused code snippets, higher (5000+) for comprehensive contextget_code_context_exa when you need API usage or code examples rather than general web pagesdeep-research — Full research workflow using firecrawl + exa togethermarket-research — Business-oriented research with decision frameworks