lead-intelligence

npx skills add mturac/everything-openai-codex --skill lead-intelligence --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

# Lead Intelligence Agent-powered lead intelligence pipeline that finds, scores, and reaches high-value contacts through social graph analysis and warm path discovery. ## When to Activate - User wants to find leads or prospects in a specific industry - Building an outreach list for partnerships, sales, or fundraising - Researching who to reach out to and the best path to reach them - User says "find leads", "outreach list", "who should I reach out to", "warm intros" - Needs to score or rank a list of contacts by relevance - Wants to map mutual connections to find warm introduction paths ## Tool Requirements ### Required - **Exa MCP** — Deep web search for people, companies, and signals (`web_search_exa`) - **X API** — Follower/following graph, mutual analysis, recent activity (`X_BEARER_TOKEN`, plus write-context credentials such as `X_CONSUMER_KEY`, `X_CONSUMER_SECRET`, `X_ACCESS_TOKEN`, `X_ACCESS_TOKEN_SECRET`) ### Optional (enhance results) - **LinkedIn** — Direct API if available, otherwise browser control for search, profile inspection, and drafting - **Apollo/Clay API** — For enrichment cross-reference if user has access - **GitHub MCP** — For developer-centric lead qualifica

Required
export X_BEARER_TOKEN="..."
export X_ACCESS_TOKEN="..."
export X_ACCESS_TOKEN_SECRET="..."
export X_CONSUMER_KEY="..."
export X_CONSUMER_SECRET="..."
export EXA_API_KEY="..."
Optional
export LINKEDIN_COOKIE="..." # For browser-use LinkedIn access
export APOLLO_API_KEY="..."  # For Apollo enrichment