Skill UI

Agent Eval Benchmarking orchestrates repeatable CLI comparisons of coding agents like Claude Code, Aider, and Codex, collecting pass rate, cost, time, and consistency metrics on your repository tasks so you can pick the right assistant with data.

Mentors founders through the Minimalist Entrepreneur method for landing the first 100 customers: skip the launch, work concentric outreach circles, craft pricing, capture manual sales metrics, and set weekly goals before celebrating.

Trackio is a robust library designed for comprehensive monitoring and management of Machine Learning experiments. It allows users to log key training metrics, set structured alerts (e.g., loss divergence, NaN gradients), and visualize results over time. The system supports integration via Python API for logging/alerting, and a powerful CLI for programmatic metric retrieval and dashboard synchronization to Hugging Face Spaces. Ideal for autonomous AI agent workflows and detailed research tracking.

Guides researchers through a post-experiment gate that collects metrics, submits them to Codex for verdicts, and routes follow-up actions based on whether the intended claim is supported, partially supported, or refuted.

Assesses AI/ML systems for prompt injection, jailbreak, model inversion, data poisoning, and agent tool abuse using MITRE ATLAS mapping, signature detection, and scoring metrics before deployment.

Canary Watch keeps a deployed URL under continual surveillance after production/staging deploys, risky merges, or dependency upgrades, checking HTTP status, console/network errors, performance metrics, content, and API health with configurable alerts and digestible reports.

Crafts polished internal communications by matching request types (3P updates, newsletters, FAQs, etc.) to reference templates, gathering context, confirming scope, and producing concise, audience-aware drafts with metrics and links.

Performs combined SEO and AEO audits on landing pages or blog posts, scoring overall/SEO/AEO/readability metrics out of 100, then prioritizing severity-ranked fixes and projected scores so authors can resolve Critical, Important, and Polish issues before publishing.

This skill guides the construction of actionable monitoring dashboards for platforms like Grafana and SigNoz. Instead of simply displaying metrics, the focus is on structuring the dashboard to answer critical operational questions: Is the system healthy? Where are the bottlenecks? What action is required? It emphasizes defining core operating questions and curating minimal, high-impact panels.

Guides multi-round investigation of any GitHub repository, combining API queries, discovery searches, and deep dives to produce structured markdown reports with summaries, timelines, metrics tables, and Mermaid diagrams for executive-ready briefs.

Guides Go engineers through production observability by covering structured logging with slog, Prometheus metrics, OpenTelemetry tracing, continuous profiling, RUM event tracking, alerting, and Grafana dashboards for observable services.

Guides Go engineers on adopting samber/hot for in-memory caching with eviction choices, TTL, loaders, sharding, stale-while-revalidate, missing-key caching, and Prometheus metrics to cut latency for high-frequency medium-to-low cardinality data.