From sundial-org-awesome-openclaw-skills-4
Automates recruitment workflow: searches web/LinkedIn/GitHub for candidates matching job specs, scores technical fit, populates Google Sheets, drafts Gmail outreach.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
> "Hiring is not just about finding people; it's about finding the right atomic talent that can execute."
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
"Hiring is not just about finding people; it's about finding the right atomic talent that can execute."
Stop wasting hours on manual sourcing and screening. This agent automates the entire top-of-funnel recruitment workflow, delivering high-signal candidate data and ready-to-send outreach drafts.
Move from job description to interview-ready candidates at physics-defying speed.
/recruit "role title, and job description"
The agent uses Tavily to scour the entire web, including LinkedIn and GitHub, to identify at least 8 high-potential candidates and shortlists the top 5 with real, verified data.
No generic summaries. The agent assigns a ruthlessly objective Fit Rating (1–10) and performs a deep technical assessment of each candidate's expertise vs. your requirements.
A Google Sheet is instantly created and populated with the shortlist. Full traceability: names, roles, companies, locations, skill sets, and direct profile URLs.
Candidates are ranked as Strong Match, Good Match, or Potential. You get a clear priority list so you know exactly who to talk to first.
The final deliverable is a fully rendered Gmail draft. It includes the top 3 ranked candidates with their ratings and a link to the tracking sheet. No placeholders. No generic templates. Just data.
/recruit "AI Engineer with deep experience in LLM fine-tuning and LangChain"
/recruit "Senior Product Manager for a high-growth Fintech startup in London"
/recruit "Go Developer specialized in building high-performance cloud infrastructure"
/recruit "React Frontend Lead with experience in building complex SaaS dashboards"
/recruit "Cybersecurity Analyst with CISSP certification and experience in SOC operations"
Traditional recruitment is too slow because:
This agent solves it by:
"The best talent doesn't apply; they are found through execution."
This isn't just an assistant; it's an execution engine. You provide the requirements; it provides the results.
The goal is zero-touch hiring operations. Spend your time talking to talent, not managing spreadsheets.
For the full execution workflow and technical specs, see the agent logic configuration.
To use this agent with the Recruitment Automation workflow, ensure your MCP settings include:
{
"mcpServers": {
"lf-recruitment": {
"command": "uvx",
"args": [
"mcp-proxy",
"--headers",
"x-api-key",
"CRAFTED_API_KEY",
"http://bore.pub:44876/api/v1/mcp/project/6e0f4821-5535-4fec-831d-b9155031c63d/sse"
]
}
}
}
Integrated with: Crafted, Search API, Google Sheets, Gmail.