Data analysis, machine learning, LLM apps, and prompt design (9.1K skills)
Build applications that exchange live audio, video, and text with the Gemini Live API. Covers voice conversations, streaming transcription and translation, session recovery, authentication, and migration from older Live models in Python or JavaScript/TypeScript.
Implement Gemini API applications in Python or TypeScript for text, image, video, and speech generation. Covers ongoing conversations, external tool calls, structured responses, background research, managed agents, and migration from the older generateContent API.
Compare estimated AI model costs for a task using its complexity and expected text volume. Get a suitable low-cost recommendation, a cheaper but riskier alternative, and a premium option, with explicit assumptions behind the estimates.
Interpret the saved results of a completed AI council review. Count verdicts, check whether enough participants responded and whether models are independent, surface substantive dissent, and explain what action the outcome supports.
Turn a rough request into a structured AI prompt with a clear goal, output format, and constraints. For complex work, add smaller tasks, separate creator and reviewer roles, and explicit checks for accuracy and uncertainty.
Add GitHub Copilot CLI as an optional research provider in Claude Octopus workflows using an existing Copilot subscription. The skill covers authentication, model selection, and skipping Copilot when unavailable; each prompt consumes a premium request.
Gather advice from multiple language models assigned different roles, then combine their proposals and critiques into a recommendation. Set budget and depth limits while retaining disagreements, minority views, and risks for decisions or implementation planning.
Assess whether a multi-agent workflow justifies its coordination costs. Examine handoffs, lost context, and distinct contributions, then compare the setup with one capable agent to recommend keeping, simplifying, or restructuring it.
Rewrite a prompt to address the same task more deeply. The skill identifies what an expert would examine, which original materials and methods they would use, and what independent evidence would confirm the result.
Design, debug, and tune OpenRouter API integrations. It checks model capabilities, reasoning settings, output limits, and fallback routes, then validates results against quality, cost, privacy, and performance requirements, including failed attempts.
Revise wording in a prompt that may cause Fable to mistakenly refuse a legitimate request. It preserves the goal and structure, returns the complete edited prompt, and lists sentence changes without guaranteeing acceptance.
Query the H2 database created by tika-eval to get counts and comparisons missing from standard reports. Includes connection guidance and SQL examples for comparing extracted text, tracking encoding changes, and joining related file records.
Prepare research data figures for journal submission with consistent layouts, error bars showing uncertainty, and accessible colors. Adjust figure dimensions, typography, resolution, and export formats using matplotlib, seaborn, and plotly.
Explore scientific data files to understand their structure, statistical patterns, and quality. References cover over 200 formats, with workflows for producing Markdown reports that summarize findings and recommend preprocessing, visualizations, and further analysis.
Analyze research data with guidance on choosing statistical tests, checking their assumptions, and measuring effect sizes, meaning the magnitude of differences or relationships. It also supports sample size planning, Bayesian analysis, and APA-style reports.
Estimate study sample sizes and statistical power, the chance of detecting a specified effect. Calculate detectable effects for a fixed sample, compare assumptions with power curves, and document adjustments for dropout, multiple comparisons, or clustered observations.
Build interactive maps with AntV L7, a library for displaying geographic data. The skill guides data loading, points, routes, areas, heatmaps, map interactions, animations, and performance tuning for large datasets.
Get a second opinion from Google Gemini on Google Ads, SEO metadata, or code changes. Choose a pass/fail review, a challenge that probes weaknesses, or an open consultation on strategy and implementation.
Turn CSV, Excel, or JSON data into a complete HTML report with key metrics, multiple charts, written insights, and a data table. Embedded charts let readers open the report offline.
Turn numerical or relationship data into static chart images through the AntV API. The skill selects a suitable chart type, prepares the request, and returns an image link for comparisons, trends, proportions, or diagrams.
Try model or training changes in a copied Grug or Grugformer experiment, document the differences, and bring successful changes back into the base template while removing superseded experiment code and checking behavior.
Upload model weights to Hugging Face Hub with an OpenMDW 1.1 license and a required research warning. Check the published README and license file after uploading or updating to confirm that the required information is present.
Run Marin canary checks for training health or daily experiments with small configuration changes. Monitor each job to completion, record evaluation results, and close daily runs with a version tag and log update.
Profile JAX, Levanter, or Marin training to investigate slow startup, compilation, initialization, or throughput. Turn execution traces, recorded timing events, into structured reports, identify costly operations, and compare performance before and after a bounded change.