Analytics & Monitoring Agent Skills for Claude Desktop

capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.

Analyzes oral health data to identify disease patterns, assess risks, and provide personalized dental care recommendations.

Design effective prompts for LLM agents with structured input/output formats, chain-of-thought reasoning, few-shot examples, and system…

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

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

Use when the user says "/pagefoo", "PageFoo", "Page Foo", "A2UI page", "define_page", "canvas vs structured", "show this page", "export…

When to activate: pandas, DataFrame operations, data wrangling, CSV/Excel, groupby, merge, performance optimization

Performs pandas DataFrame operations for data analysis, manipulation, and transformation.

Generate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper.

Comprehensive pre-submission review orchestrator.

Use when someone wants to find a recorded Paper session, theirs or anyone's in the org — "did anyone work on X", "find the session…

Parent agent orchestrating hypothesis planning, subagent routing, and approval gates.

Creates a DAX measure from a description in Portuguese, respecting the existing Power BI model (real columns, naming convention, DAX…

Comprehensive PCR and qPCR primer design following MIQE 2.0 guidelines with automated validation.

Use when packaging an IEEE PerCom sensing artifact and dataset for reproducibility and any badging (IEEE Open Research Objects / Results…

Use when designing or auditing IEEE PerCom empirical evaluations, covering real human subjects, leave-one-subject-out / cross-subject…

Use when strengthening IEEE PerCom reproducibility and open-data evidence for human-subjects sensing, covering the dataset-availability…

Use when profiling CPU/memory hot paths, generating flame graphs, or capturing JFR/perf evidence.

Use for performance optimization, performance regression analysis, throughput, latency, memory, CPU, allocation, IO, concurrency…

Investigate performance regressions and find opportunities for optimization

Performance profiling and bottleneck detection for Node.js, Python, and browser apps