Sales & Customer Workflows

Mine competitor LinkedIn posts for their named customers + decision-makers, then rank as outreach prospects. Customer-mining inverts the keyword-search pattern - every competitor names its customers in announcement posts, and those customers are proven production agent operators (high-precision buyers). Pairs with /find-leads as a complementary discovery channel. Source: competitor-customers.

Orchestrate the outreach pipeline. Scans Person notes for the pipelinestage: frontmatter field, picks prospects ready to advance, and spawns fresh-context Agent-tool subagents in parallel - each one runs the appropriate stage skill (research → draft → send). Subscription-billed via the Claude Code session. Use when you want to advance the pipeline in batch. Stages: queued → researched → drafted → ready → sent.

Draft blog posts, social media, email newsletters, landing pages, press releases, and case studies with channel-specific formatting and SEO recommendations.

Mine VC LinkedIn posts for recently-funded Seed / Series A founders, dedupe against the CRM, identify the buyer-shape (founder / CTO / Head of AI), priority-score against your ICP, and save a Lead List with P1/P2/P3 tiers in the user's Obsidian vault. Bias the top of the funnel toward low-key early-stage founders in active growth mode (newly-funded = buying intent). Companion to /competitor-customers; same shape, different discovery surface. Source: funded-founders.

Find candidate companies + buyer-shaped people for cold outreach. Given a natural-language ICP query (vertical, agent type, company size), discovers matching companies via web search + Scrapling stealth fetches, identifies likely buyer roles + people, deduplicates against the existing CRM (skip already-contacted, re-surface dormant past-due), and saves a state-aware ranked lead list to the user's Obsidian vault. Use when the user wants to find new prospects, expand the pipeline, or convert an ICP description into outreach-ready leads.

Find recently-published CS/AI/ML researchers as ScholarFeed cold-outreach prospects. Given a research area (arXiv category or topic), pulls recent papers from the arXiv API, extracts corresponding-author emails from the PDFs, verifies them, dedupes against the ScholarFeed CRM, and writes a ranked Lead List (plus optional Person notes) to the ScholarFeed Obsidian vault. Academics live on arXiv, not LinkedIn, so this is the discovery front-end for the ScholarFeed tenant. Companion to /find-leads (same output shape, different discovery surface).

Deep-dive research dossier on a single prospect for hyper-personalized outreach or call prep. Fails fast on email lookup (so 10 min of scraping isn't wasted on someone you can't email), then runs parallel scrapes of LinkedIn, Twitter/X (if cookies present), personal blog, GitHub, company website, YC page, and recent news. Synthesizes worldview from 3+ public datapoints, surfaces fresh signals (≤7 days), and updates the Obsidian vault. Use BEFORE drafting a cold touch (/draft-outreach) or BEFORE a scheduled call. The middle skill in the outreach suite: find-leads → research-prospect → draft-outreach → humanizer.

Send queued cold-touch outreach in batch - emails via Gmail API + LinkedIn connection requests via the LinkedIn MCP - and writeback to the Obsidian vault (flip sent: true, tick outcome checkboxes, update Person status to contacted). Use when the user wants to ship the touch drafts that the /draft-outreach skill has prepared. Step 5 in the outreach pipeline (after find → research → draft → humanize).