Lead Discovery

Lead Discovery — Orchestrator

This is the entry point for all lead generation requests. Before any signal skill runs, this skill ensures the agent has enough business context to configure every downstream skill correctly.

When to Use

• User asks to "find leads", "generate leads", "do outbound", "find prospects", or any variation
• User mentions lead generation without specifying a particular signal source
• User asks to run a specific signal skill but the agent has no business context yet
• Always run this skill first — before github-repo-signals, job-signals, community-signals, competitor-signals, or event-signals

What This Skill Does

1. Learns about the user's business (via website or questions)
2. Identifies competitors, ICP, and relevant technologies
3. Generates the shared context object that all signal skills need
4. Recommends which signal sources to run and in what order
5. Hands off to individual signal skills with inputs pre-filled

Phase 1: Gather Business Context

If the user provides a website URL

Scrape the website (homepage, pricing page, about page, docs if available) and extract:

1. Product description — one-liner of what the product does
2. Category — the market category (e.g., observability, API platform, CI/CD, CRM)
3. Target buyer — who the product is sold to (developers, DevOps, marketers, etc.)
4. Key features — the 3-5 main capabilities
5. Technology keywords — the technical terms associated with this product and space
6. Pricing model — free tier, usage-based, seat-based, enterprise (helps qualify leads)
7. Competitors mentioned or implied — from comparison pages, "alternative to" language, integrations

After extracting, present a summary to the user and ask them to confirm or correct.

If the user does NOT have a website

Ask these questions one conversational block at a time. Do NOT dump all questions at once.

Block 1 — The Basics:

• What does your product do? (one sentence)
• Who is your ideal buyer? (role, company size, industry)
• What problem does it solve?

Block 2 — The Market (ask after Block 1 is answered):

• Who are your main competitors? (even indirect ones)
• What technologies or tools does your product integrate with or replace?
• What does your tech stack look like? (helps identify GitHub repos)

Block 3 — Sales Context (ask after Block 2 is answered):

• How do you sell today? (inbound, outbound, PLG, partnerships)
• What's your price range? (helps filter lead quality — a $500/yr tool targets different companies than a $50k/yr platform)
• Any specific companies or segments you're already targeting?

Phase 2: Competitor & Ecosystem Research

Once you have the business context, research to fill gaps the user didn't provide:

Identify Competitors

• Search the web for "[product category] alternatives", "[competitor name] vs", "best [category] tools 2025/2026"
• Build a list of 5-10 direct and indirect competitors
• For each competitor, note:
  • Name and website
  • GitHub repos (if open-source or has public repos)
  • Product Hunt slug (if launched there)
  • Greenhouse/Lever career page slug (for job signals)

Identify Relevant GitHub Repos

• Search GitHub for repos in the product's technology space
• Include: competitor repos, category-defining repos, popular libraries the ICP uses
• Aim for 3-8 repos that the user's ideal buyers would star, fork, or contribute to

Identify Community Watering Holes

• Which subreddits discuss this space?
• Are there relevant HN threads or recurring topics?
• Any Slack/Discord communities, forums, or newsletters? (note these even if we can't scrape them — useful context)

Identify Relevant Events

• What conferences does this ICP attend?
• Any upcoming or recent events in the space?

Present your research findings to the user for confirmation before proceeding.

Phase 3: Build the Shared Context Object

After Phases 1 and 2, you should have all of this:

SHARED CONTEXT
==============
Product:          [one-liner description]
Category:         [market category]
Website:          [URL or "none"]

ICP:
  Role:           [e.g., Backend engineers, DevOps leads, Engineering managers]
  Company size:   [e.g., 50-500 employees]
  Industry:       [e.g., SaaS, fintech, healthtech — or "any"]
  Tech stack:     [e.g., Kubernetes, Python, AWS]

Competitors:      [list with GitHub repos, PH slugs, career page slugs where found]
Technology keywords: [list of 10-20 relevant terms]
Problem statements:  [3-5 problems the product solves, as they'd appear in job posts or forum discussions]

GitHub repos to scan:    [3-8 repos]
Subreddits:              [5-10 relevant subreddits]
Job search queries:      [3-5 job title searches]
Greenhouse/Lever slugs:  [company career page slugs]
Product Hunt slugs:      [competitor PH slugs]
Conference/event names:  [if identified]

Present this to the user as a formatted summary. Ask them to confirm, add, or remove items.