Profile a research lab (a professor, or a school/department) over the last N years by collecting every paper from OpenAlex, structuring it into a temporal knowledge graph (ontology) — Papers, Researchers, Topics, Themes, Methods, Venues, Citations — and synthesizing a grounded report of the lab's year-by-year output…
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.
Turn a developer's product-quality objective into a complete Junjo Studio-backed evaluation workflow. Use when a coding agent needs to establish a baseline, design or generate typed cases, run or resume application-owned Node, Workflow, or Agent targets, inspect outcomes and exact trace evidence, compare a candidate…
Google Search Console data analysis and site management via google-search-console-cli. Use when the user wants to check search performance, analyze queries, inspect URL index status, manage sitemaps, or view site properties. Triggers: "Search Console", "search performance", "search queries", "GSC", "index status"…
A tool that turns legal analysis into a structured risk report with four visual views: a radar chart, risk matrix, impact path diagram, and decision tree. These show risks, their likelihood and severity, how they spread, and possible decisions.
A multi-agent framework for analysing stocks, meaning publicly traded company shares. It can run a full analysis with 16 cooperating analysts or run selected analysts separately.
Generate explainable China Sports Lottery football predictions with event-time snapshots, T-24h/T-6h/T-90m/closing model horizons, separate directional and value states, strict reference/target market isolation, sourced pre-match intelligence, hierarchical Dixon-Coles probabilities, multi-window model validation…
Use this skill when a user wants to create, publish, or set up a new data product in IBM watsonx.data intelligence (wxdi) / Data Product Hub. Trigger when the user says things like "create a data product", "publish a dataset as a data product", "I want to share this data as a product", "set up a data product for X"…
Review Microsoft Clarity session recordings the way that produces findings, not anecdotes: question-scoped triage → attribution → replay-watch → database/source triangulation → a verifiable evidence appendix. Use for funnel investigations ("why did users drop off / churn / not click X"), post-ship verification ("watch…
Analyze ArduPilot DataFlash .bin log files or MAVLink .tlog telemetry logs. Use when the user provides a .bin or .tlog log file path or asks to analyze flight log data.
Best practices for data aggregation, recalculation, and category management in scientific analyses. Covers when to recalculate vs reuse aggregated data, handling category changes, and ensuring analytical accuracy.
A workflow for analysing Amazon product reviews in Chinese. It combines review data, assigns dynamically generated categories, records positive and negative excerpts, and produces category, brand, ASIN, and HTML dashboard reports.
Run static quality evaluation for agent skills. Scores each skill on format (2.1.1), content completeness (2.1.2), and writing quality (2.1.3), total 24 pts. Output text report, JSON, CSV, or a radar chart for a single skill. Use when the user wants to score skills, audit skill quality, export scores to CSV, or…
Optimize anything through autonomous experimentation, against an evaluator you cannot grade yourself with. Use whenever the user wants to improve a number by iterating - raise accuracy, cut val loss, make training or inference faster, reduce latency or cost, beat a baseline, tune a pipeline or prompt, squeeze a…
Use Raymon’s MCP server to search and inspect Ray-style logs. Use when you need to (1) set up Raymon as an MCP server (local or remote with auth), (2) search stored entries with filters/pagination, or (3) fetch full entry payloads by UUID for debugging/triage.
Add or extend data validation checks in the pipeline when data quality issues are detected — null-percentage thresholds, value ranges, referential integrity, and row-count sanity checks. Use when a pipeline breaks on bad data, when onboarding a new dataset, or when asked to "add a quality check for {column}".
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: