O.C. Manjos Lead Qualifier
SkillDatabases & dataQualifies inbound sales enquiries from a Supabase-backed WhatsApp sales AI and places outbound follow-up calls via CALL-E for high-value, recently-active leads.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the O.C. Manjos Lead Qualifier skill
What this skill tells your AI
The instructions your AI receives, as published by calle-ai/awesome-phone-call-agents in skills/ocmanjos-lead-qualifier/SKILL.md and read by ahel’s review.
Scores inbound product enquiries (captured via a WhatsApp sales AI into Supabase) against category, price, and recency rules, then places a CALL-E outbound call to qualifying leads to confirm interest and capture delivery or pickup preference.
Use it for
- Following up on high-value product enquiries that went unanswered on WhatsApp within 72 hours
- Confirming customer interest and delivery preference via voice instead of relying on repeat text follow-ups
- Demonstrating a real small-business use case for CALL-E: filtering noisy, free-text enquiry data down to genuinely qualifying leads before spending a call
Do not use it to
- Call numbers not sourced from an explicit customer enquiry
- Call leads marked as already purchased, a known competitor, or opted out
- Guess phone numbers, prices, or product categories - the skill only prices and calls what matches configured rules and real price-sheet data
Setup
- A Supabase table with enquiry records (product_asked, created_at, whatsapp_responded, known_competitor, already_purchased, opted_out)
- A product price sheet (.xlsx) with description, unit price, and sell price columns
- .env with SUPABASE_URL and SUPABASE_ANON_KEY (never commit this file)
- CALL-E CLI authenticated (calle auth login)
How it works
- Pull recent enquiries from Supabase
- Extract a product keyword and variant (e.g. size/phase) from free-text product_asked
- Look up the real sell price from the price sheet, matched by token, not exact phrase
- Score against category/price/recency/disqualifier rules
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- For qualifying leads, the operator manually runs CALL-E's plan_call via the CLI, reviews the confirm_summary, then runs run_call. This script identifies who to call; it does not itself invoke CALL-E.
Qualification rule (example, tune to your own product line)
IF (category = "Distribution Board" AND value >= 35000) OR (category = "Box/Conduit" AND value >= 2500) OR (category = "Solar/Flood Light" AND value >= 34000) AND enquiry_age <= 72h AND no_whatsapp_response = true AND NOT (known_competitor OR already_purchased OR opted_out) THEN CALL
Side effects
This skill places real outbound phone calls when a lead qualifies. Each call consumes CALL-E call credits. Always review plan_call output (ready_to_run, confirm_summary) before calling run_call - this repository's rules prohibit placing a setup-time test call without the user explicitly asking for one.
Example (masked)
Phone: +15550101234 (masked example - never a real customer number in samples) Product: 3-phase distribution board (D6) Price: 42,500 NGN Result: customer confirmed interest, requested delivery, did not provide delivery details before call ended
Known limitations
- Keyword/variant extraction currently only handles size and phase patterns for the Distribution Board category; other multi-variant product lines need similar extraction logic added
- Phone numbers must currently be sourced manually until a WhatsApp Business API integration writes them into Supabase directly
- Call-outcome confidence scoring can register high confidence on an abrupt or ambiguous call ending; treat completion_confidence as a signal, not a guarantee, and review transcripts for anything time-sensitive
Signals
- GitHub stars
- 104
- Forks
- 527
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
ocmanjos-lead-qualifier- Source
- github.com/calle-ai/awesome-phone-call-agents