Monitoring
Logging, metrics, and observability
arcgis-utility-networks
by SaschaBrunnerCH
Work with ArcGIS Utility Networks for modeling and analyzing connected infrastructure. Use for network tracing, associations, and utility asset management.
systematic-debugging
by yishan-io
Use when investigating a bug, test failure, build failure, flaky behavior, or unexpected runtime issue before proposing or implementing fixes.
arcgis-smart-mapping
by SaschaBrunnerCH
Auto-generate renderers, calculate statistics, and create data-driven visualizations. Use for class breaks, unique values, heatmaps, dot density, relationship maps, and getting histogram/summary statistics.
action-cable
by RoleModel
Setup and use ActionCable for real-time features in Rails applications using WebSockets. Use when implementing real-time updates, live notifications, broadcasting changes, or when the user mentions WebSockets, ActionCable, channels, broadcasting, or Turbo Streams over cable.
numerical-methods
by Data-Wise
Numerical algorithms and computational techniques for statistics
logging-observability-skill
by darellchua2
Structured logging and observability — Winston, pino, structlog, OpenTelemetry, Sentry, correlation IDs.
ab-test-setup
by ranbot-ai
Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
autoresearch-core-skill
by darellchua2
Canonical autoresearch iteration protocol — Understand, Hypothesize, Experiment, Evaluate, Log loop; mechanical pass/score evaluator; git-as-memory keep/revert; stuck detection.
self-reflection
by Ven0m0
Continuous self-improvement through structured reflection and memory
measuring-product-market-fit
by luisschmitzheadline
Help users assess and achieve product-market fit. Use when someone is trying to determine if they have PMF, measuring user engagement and retention, running the Sean Ellis survey, or figuring out if they should scale or keep iterating.
startup-business-models
by luisschmitzheadline
Use when choosing or evaluating a startup revenue model, pricing/value metric, packaging/tier design, or calculating unit economics (LTV, CAC, payback, gross margin, NRR), including usage-based/credit/AI pricing and variable compute/COGS constraints.
data-and-metrics
by luisschmitzheadline
Ad-hoc data briefs: metric definitions, dimensions, and insights from available data. Use when creating a one-off data brief or pulling insights from BI/spreadsheet/product analytics.
growth-hacking-playbook
by luisschmitzheadline
Comprehensive growth hacking strategy including growth loops, AARRR pirate metrics, channel prioritization (Bullseye), viral mechanics (K-factor), ICE experiment scoring, and 90-day experimentation roadmap using Growth Loops, Pirate Metrics, and Traction Bullseye frameworks.
plg-metrics
by SkeneTechnologies
When the user wants to define PLG metrics, build a growth dashboard, or set KPI targets -- including activation rate, free-to-paid conversion, NRR, or North Star metric. Also use when the user says "PLG dashboard," "growth KPIs," "metric definitions," or "PLG benchmarks." For activation-specific metrics, see activation-metrics. For analytics setup, see product-analytics.
growth-experimentation
by SkeneTechnologies
When the user wants to design, prioritize, or analyze growth experiments -- including A/B tests, hypothesis frameworks, ICE/RICE scoring, or growth sprints. Also use when the user says "A/B test," "experiment design," "growth sprint," "experiment prioritization," or "statistical significance." For analytics setup, see product-analytics. For growth modeling, see growth-modeling.
gromacs-protein-analysis
by CharlesHahn
"蛋白质分子动力学模拟分析的流程知识指南。当 Agent 需要执行某个分析但不清楚具体流程时调用。涵盖九种核心分析的完整工作流：(1) PBC 修正 - 消除周期性边界伪影，居中蛋白质/配体；(2) RMSD 分析 - 测量结构稳定性和模拟收敛性；(3) RMSF 分析 - 评估每个残基的灵活性；(4) 回转半径分析 - 评估蛋白质紧密性和折叠状态；(5) SASA 分析 - 研究溶剂可及性和表面性质；(6) DCCM 分析 - 动态互相关矩阵，研究原子间相关运动；(7) RDCM 分析 - 残基距离接触矩阵，分析残基间空间关系；(8) PCA 分析 - 主成分分析，识别集体运动和构象变化；(9) FEL 分析 - 自由能景观映射，使用 RMSD/Gyrate 或 PCA 作为反应坐标。包含分析间的依赖关系说明（如 FEL 依赖 PCA 或 RMSD/Gyrate 结果）。"
retention-analysis
by SkeneTechnologies
When the user wants to analyze, diagnose, or improve user retention -- including cohort analysis, churn prediction, engagement scoring, or resurrection campaigns. Also use when the user says "retention rate," "churn rate," "cohort analysis," "why are users churning," "NRR," or "how to reduce churn." For engagement loops, see engagement-loops. For activation, see activation-metrics.
pricing-strategy
by SkeneTechnologies
When the user wants to design or optimize pricing, packaging, or monetization -- including tier structure, freemium design, value metrics, or price research. Also use when the user says "pricing page," "how to price," "freemium vs free trial," "Good-Better-Best tiers," or "value-based pricing." For feature gating, see feature-gating. For trial optimization, see trial-optimization. For usage-based models, see usage-based-pricing.
usage-based-pricing
by SkeneTechnologies
When the user wants to design or implement usage-based, consumption, or metered pricing -- including credit systems, overage handling, or billing infrastructure. Also use when the user says "pay per use," "metered billing," "credit system," "usage pricing," or "consumption pricing." For broader pricing strategy, see pricing-strategy. For expansion, see expansion-revenue.
sf-debug
by Jaganpro
Salesforce debugging and troubleshooting skill with log analysis, governor limit detection, and agentic fix suggestions. Parse debug logs, identify performance bottlenecks, analyze stack traces, and automatically suggest fixes.
salvo-realtime
by salvo-rs
Implement real-time features using WebSocket and Server-Sent Events (SSE). Use for chat applications, live updates, notifications, and bidirectional communication.
salvo-logging
by salvo-rs
Implement request logging, tracing, and observability. Use for debugging, monitoring, and production observability.
observability-patterns
by vanman2024
Comprehensive observability setup patterns for Google ADK agents including logging configuration, Cloud Trace integration, BigQuery Agent Analytics, and third-party observability tools (AgentOps, Phoenix, Weave). Use when implementing monitoring, debugging agent behavior, analyzing agent performance, setting up tracing, or when user mentions observability, logging, tracing, BigQuery analytics, AgentOps, Phoenix, Arize, or Weave.
competitor-news-monitor
by Russ534
"Watch named companies for material news; cited digests."