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Found 42 Skills
Design, validate, and recalibrate a lead scoring model - fit and engagement signals, weighting, negative scoring and exclusions, decay, MQL/PQL threshold and tier setting, backtesting against closed-won/closed-lost outcomes, and governance; also diagnoses an existing broken model. Use whenever the user mentions lead scoring, an MQL threshold, fit vs engagement scoring, product-qualified leads, score decay, "score my leads", "our lead scores are wrong", "sales rejects our MQLs", or "too many junk MQLs" - even if they never say "scoring model". Covers B2B sales-led and B2C/PLG, rules-based design and predictive readiness. Do NOT use for assigning scored leads to reps - use mbfinotti/revops-skills@lead-routing instead.
Use this skill when defining ideal customer profiles, building scoring models, identifying intent signals, or qualifying leads. Triggers on lead scoring, ICP definition, scoring models, intent signals, MQL, SQL, lead qualification, BANT, and any task requiring lead prioritization or qualification framework design.
Builds a custom lead scoring model for a business. Takes ICP definition, historical win/loss data, CRM export. Analyzes which attributes correlate with closed-won deals. Generates lead-scoring-model.md with scoring dimensions, point values, thresholds, CRM implementation guide, and validation methodology. Can also score a batch of current leads against the model.
When a founder needs to qualify inbound leads, define their ICP, build a lead scoring model, set MQL criteria, or route prospects through pipeline stages. Activate when the user mentions lead scoring, ICP, MQL, SQL, lead qualification, inbound leads, or pipeline design.
Design the assignment logic that routes inbound leads to sales reps - rule precedence and waterfall ordering, lead-to-account matching, territory assignment rules (geography, segment, industry, named accounts), round-robin variants (straight, weighted, capacity-based, availability-aware), fallback catch-all queues, SLA escalation and reassignment, and safe rollout of routing changes. Use whenever the user mentions lead routing, lead assignment, territory assignment, round-robin, lead distribution, "who gets this lead", a lopsided round-robin, or leads sitting unworked in a CRM queue - even if they never say "routing". Covers B2B account-based and B2C/PLG high-volume routing. Do NOT use for designing the lead score itself - use mbfinotti/revops-skills@lead-scoring instead.
Complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories. Use when building enrichment workflows, setting up Clay tables, or maximizing data quality.
Build a demand generation strategy and multi-channel campaigns. Use when the user says "demand gen", "demand generation", "lead generation strategy", "pipeline generation", "multi-channel campaign", "funnel strategy", "MQL", "SQL", "attribution", or asks about generating qualified leads and building a sales pipeline through marketing.
Score and qualify prospects against your Ideal Customer Profile using firmographic, technographic, and behavioral criteria
Interpret buying signals and prioritize accounts for outreach. Use when analyzing intent data, prioritizing accounts, reading buying signals, tracking job changes, using intent topics, scoring leads, deciding who to contact first, or building signal-based outreach workflows. Do NOT use for building prospect lists (use /sales-prospect-list), enriching contacts (use /sales-enrich), or general Apollo platform help (use /sales-apollo).
Use when building or fixing B2B pipeline. Revenue-aligned demand generation with lead types, funnel design, conversion paths, scoring/routing, attribution, ABS motions, and compliance.
B2B sales - cold outreach, lead scoring, pipeline metrics, MEDDIC/BANT qualification, discovery calls, and demos. Use when writing cold emails, scoring leads, running pipeline reviews, or preparing for sales calls.
Detect buying signals across TAM companies and watchlist personas. Three-phase architecture: (1) free diff-based signals from existing data (headcount growth, tech stack changes, funding rounds), (2) Apify-powered signals (job postings, LinkedIn content analysis, profile changes), and (3) post-processing with dedup, scoring, and lead status updates. Writes signals to Supabase signals table for downstream activation.