The Lead Scoring skill teaches an agent how to rank leads by fit and intent: choosing signals that predicted past wins, weighting them, setting thresholds, and routing each lead to the right next step. It replaces follow-up-with-everyone with a clear priority order.
The two axes of a score and why a lead needs both to be a priority.
Positive and negative signals, including decay so quiet leads fall in rank.
MQL and SQL cutoffs and what happens at each.
Checking the model against real outcomes and adjusting the weights.
Open any agent, pick this skill from the library, and it loads the frameworks into that agent.
Override the prompt context for one agent without changing the library copy. One skill, many variants.
Combine skills on a single agent so it carries every framework the job needs at once.
Cold and warm outreach cadences, templates, pipeline stages, and BANT qualification.
Multi-touch dunning sequences, failure reason diagnosis, and retention tactics.
Profiling rivals from public sources, positioning maps, feature and pricing comparison, and battlecards.
Skills are included on every Helm plan. Enable this one on any agent and it starts applying the frameworks right away.