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Found 803 Skills
Marketing funnel modeling and conversion metrics. Use for ad spend analysis, CPM/CPC optimization, landing page conversions, waitlist economics, and funnel modeling. Triggers on "ad spend", "cpm", "cpc", "conversion rate", "landing page", "waitlist", "funnel".
Node.js CLI for interacting with the AO Task Monitor API - get system health, alerts, logs, and task metrics for AO processes
Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.
Translates engineering metrics (DORA, error rates, technical debt) into business KPIs and financial impact. Helps justify technical investments to stakeholders.
Use to design and document customer segments with clear criteria, metrics, and governance.
Email newsletter workflows for journalists and researchers. Use when creating, managing, or optimizing email newsletters, building subscriber lists, designing email templates, analyzing engagement metrics, or planning newsletter content calendars. Essential for independent journalists, academic communicators, and media organizations building direct audience relationships.
Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts".
Use this skill when the user needs to build a financial model, calculate unit economics, understand MRR/ARR/churn, or figure out their quit number. Covers SaaS metrics, CAC/LTV, burn rate, cash flow modeling, and making unit economics legible for non-finance founders.
Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.
Generate a personalized follow-up sequence for any creator chasing scenario — missing info, unsigned contract, late content, missing metrics, or incomplete whitelisting setup. This skill should be used when chasing a creator for a response, writing a follow-up message to an influencer, nudging a creator about a late deliverable, following up on an unsigned contract, requesting missing campaign metrics, chasing whitelisting or ad access setup, escalating a non-responsive creator, writing a reminder to a creator who ghosted, building a follow-up cadence for overdue items, drafting a polite but firm nudge to an influencer, or managing creator communication when deadlines slip. For writing initial outreach messages, see creator-outreach-sequence-generator. For classifying and triaging creator replies, see reply-triage-classifier. For negotiating rates after a creator responds, see creator-negotiation-assistant.
Mapping guidance for Retell AI voice agent events. Covers call metrics, agent performance, disconnect reasons, and conversation analytics.
Use ONLY when creating NEW registrable components in ML projects that require Factory/Registry patterns. ✅ USE when: - Creating a new Dataset class (needs @register_dataset) - Creating a new Model class (needs @register_model) - Creating a new module directory with __init__.py factory - Initializing a new ML project structure from scratch - Adding new component types (Augmentation, CollateFunction, Metrics) ❌ DO NOT USE when: - Modifying existing functions or methods - Fixing bugs in existing code - Adding helper functions or utilities - Refactoring without adding new registrable components - Simple code changes to a single file - Modifying configuration files - Reading or understanding existing code Key indicator: Does the task require @register_* decorator or Factory pattern? If no, skip this skill.