Analytics & Monitoring Agent Skills for HTTP / API

Record a skill deviation with OrgX so it feeds tomorrow's Daily Brief.

Use when the user mentions Orizu; wants measurable improvement for a specific LLM application or agent; collects human feedback on model…

List in-flight Ouroboros sessions and show the commands needed to re-attach after MCP disconnect

How to use @owlmeans/llm-common — runtime-free serializable contracts for LLM inference and execution (ModelProvider…

Use this skill whenever the user wants text extracted from images, photos, scans, screenshots, or scanned PDFs. Returns exact machine-readable strings with line-level text and optional bbox…

Diagnose and fix Palantir Foundry common errors and API exceptions.

Implement Palantir Foundry data handling with PII protection, markings,

Set up observability for Palantir Foundry integrations with metrics,

Implement Palantir Foundry reference architecture with best-practice

Entry point for reading PANews cryptocurrency / blockchain news, market narratives, and Polymarket smart money leaderboards.

Use when verifying a scientific claim or numerical parameter through project artifacts, implementation semantics, primary literature…

Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data.

Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.

Analyze payer contracts for reimbursement rates, terms, and value-based incentives to optimize revenue and support contract negotiations

Audits the Power BI model (PBIP) and generates a prioritized report with anti-patterns, a score of 0-100, and actionable recommendations.

Extract tables from PDFs and convert to CSV

Per-category/per-family models can produce WORSE leaderboard scores than a single global model, even when per-category CV is better.

Use when synthesizing perf findings into evidence-backed recommendations and decisions.

Use when managing perf baselines, consolidating results, or comparing versions.

Use when running performance benchmarks, establishing baselines, or validating regressions with sequential runs.

Use when appending structured perf investigation notes and evidence.