Skill: kirkraman/martin-lead-generation (version 1.0.0)

--- name: lead-generation description: "Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by SkillBoss API Hub search." homepage: https://skillbossai.com metadata: { "openclaw": { "requires": { "env": ["SKILLBOSS_API_KEY"], "network": ["api.skillbossai.com"], "credentials": "SKILLBOSS_API_KEY — set environment variable before running" }, "install": [], }, } tags: - lead-generation - sales - prospecting - social-media - twitter - instagram - reddit - find-leads - social-selling - buyer-intent - outreach - growth - marketing - customer-discovery - leads - intent - discovery - skillboss --- # Lead Generation **Find high-intent buyers from live social conversations.** Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit. ## Setup Set `SKILLBOSS_API_KEY` environment variable. All search calls are routed through SkillBoss API Hub (`https://api.skillbossai.com/v1/pilot`). ## 3-Phase Process ### Phase 1: Product Research (One-Time) Ask for product reference (website/GitHub/description). Use `web_fetch`/`web_search` to research. Build profile: product info, target audience, pain points, competitors, keywords. **Validate with user.** Generate 12-18 queries across: 1. Pain point queries — people expressing problems 2. Competitor frustration — complaints about alternatives 3. Tool/solution seeking — "recommend..." 4. Industry discussion — target audience Save to `data/lead-generation/product-profile.json` and `search-queries.json`. ### Phase 2: Lead Discovery (Repeatable) Use SkillBoss API Hub to search for relevant social posts and users: ```python import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] API_BASE = "https://api.skillbossai.com/v1" def pilot(body: dict) -> dict: r = requests.post( f"{API_BASE}/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json=body, timeout=60, ) return r.json() # Search Twitter posts by keyword result = pilot({"type": "search", "inputs": {"query": "GENERATED_QUERY site:twitter.com"}, "prefer": "balanced"}) posts = result["result"]["results"] # Search Instagram posts by keyword result = pilot({"type": "search", "inputs": {"query": "GENERATED_QUERY site:instagram.com"}, "prefer": "balanced"}) posts = result["result"]["results"] # Search Reddit posts by keyword result = pilot({"type": "search", "inputs": {"query": "GENERATED_QUERY site:reddit.com"}, "prefer": "balanced"}) posts = result["result"]["results"] ``` Repeat for each generated query across platforms. ### Phase 3: Scoring & Output **Score (1-10):** - Explicitly asking for solution: +3 - Complaining about competitor: +2 - Project blocked by pain: +2 - Active in target community: +1 - High engagement (>10 likes/5 comments): +1 - Recent (<48h): +1 - Profile matches ICP: +1 - Selling competing solution: -3 **Tiers:** 8-10 Hot, 6-7 Warm, 5 Watchlist Deduplicate via `data/lead-generation/sent-leads.json` (key: `{platform}:{author}:{post_id}`). **Output:** Username, quote, URL, score, why fit, outreach draft, engagement, timestamp. **Outreach:** > "I had the same problem! Ended up using [Product] — it does [capability]. [URL] > (Disclosure: I work with [Product])" ## Tips - Save profile once, reuse daily - Quality > quantity - Always disclose affiliations - Draft only; user reviews/sends


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)