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Found 803 Skills
Provides startup advice using Eric Ries' Lean Startup methodology focusing on Build-Measure-Learn cycles, validated learning, and rapid experimentation. Use when advising on MVPs, product iterations, pivot decisions, growth metrics, or when user mentions Lean Startup, Eric Ries, validated learning, or rapid experimentation.
Query Langfuse traces for debugging LLM calls, analyzing token usage, and investigating workflow executions. Use when debugging AI/LLM behavior, checking trace data, or analyzing observability metrics.
Use the whoo CLI to retrieve and interpret WHOOP health data: recovery score, HRV, sleep quality, strain, SpO2, and body measurements. Invoke when the user asks about their WHOOP metrics, readiness, fitness recovery, sleep performance, wearable health data, or wants to pull or analyze WHOOP data for any date range.
Takes raw campaign tracking data and generates a clean weekly status summary formatted for Slack, email, or a leadership meeting. This skill should be used when building a weekly campaign status update from spreadsheet data, generating a Slack-ready campaign summary, formatting campaign progress for a leadership meeting, turning a messy tracker into a status digest, creating a weekly roundup of creator campaign performance, summarizing campaign health across creators and platforms, preparing a Monday morning status post for your team channel, writing a campaign progress email for stakeholders, or condensing raw metrics into a scannable digest. For full ROI analysis, see campaign-roi-calculator-narrative-builder. For normalizing raw metrics first, see metrics-normalization-formatter. For tracking creator posting compliance, see creator-posting-compliance-tracker.
Input contracted creators with their required vs. actual post counts and receive a compliance table with status classifications and escalation notes for non-compliant creators. This skill should be used when checking which creators have fulfilled their posting obligations, auditing deliverable completion across a campaign, tracking contracted vs. actual posts for an influencer program, identifying which creators are behind on deliverables, building a compliance report for campaign creators, flagging overdue or missing creator posts, reviewing posting status across all creators in a campaign, generating escalation notes for non-compliant influencers, or producing a deliverable tracker for a creator campaign. For checking whether a specific piece of content matches the brief requirements, see content-to-brief-compliance-checker. For chasing a specific creator about a late deliverable, see universal-creator-follow-up-chaser. For building a full campaign report with ROI metrics, see campaign-roi-calculator.
Nonprofit fundraising performance analysis with donor segmentation, campaign ROI, retention metrics, and trend analysis. Use when evaluating fundraising effectiveness, analyzing donor data, or planning campaigns.
Operate Railway infrastructure: create projects, provision services and databases, deploy code, configure environments and variables, manage domains, troubleshoot failures, check status and metrics, and query Railway docs. Use this skill whenever the user mentions Railway, deployments, services, environments, build failures, or infrastructure operations, even if they don't say "Railway" explicitly.
Query and interact with Prometheus HTTP API for monitoring data. Use when Claude needs to query Prometheus metrics, execute PromQL queries, retrieve targets/alerts/rules status, access metadata about series/labels, manage TSDB operations, or troubleshoot monitoring infrastructure. Supports instant queries, range queries, metadata endpoints, admin APIs, and alerting information.
Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn't this work", "why does not this work", "I'm a beginner", "Im a beginner", "I'm learning", "Im learning", "I'm new to this", "Im new to this", "walk me through", "how does this work", "what's wrong with my code", "what's wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.
Plan and execute federated analytics workflows with the Rhino Health Python SDK. Use when the user wants to run survival analysis, metrics, data harmonization, model training, or any multi-step SDK workflow. Takes high-level research goals and produces phased execution plans with runnable code. Also handles SDK questions, debugging rhino_health errors, and metric selection. Triggers on: rhino-health, rhino_health, RhinoSession, FCP, federated analytics, OMOP, FHIR, harmonization, or any of the 40+ federated metrics.