AI Agent Skills Marketplace
Showing 5 of 5 results
data-pipeline-agent
Design and document data pipelines end to end. Turns a business question into a source-to-destination plan: sources, ingestion, transformations, quality checks, scheduling, and failure handling. Produces a runnable spec with schema notes, validation rules, and a monitoring plan. For analysts and engineers who need pipelines that survive production.
Popular Platform Data Collection Skill
Popular Platform Data Collection Skill is an agent workflow for authorized content research, content archiving, and first-party account backups. It guides users to manually export public, owned, or clearly authorized videos, cover images, page copy, tags, engagement data, and comments through DATATOOL. It validates the input files, uses local OpenAI Whisper to transcribe the complete video audio track, anonymizes comment data when requested, and produces a verifiable Chinese ZIP package containing Excel files, text, subtitles, segmented JSON, and a SHA-256 manifest. Users handle DATATOOL installation, login, verification, authorization, and content export in a normal browser. The Skill does not control DATATOOL, store cookies or passwords, bypass captchas, paywalls, private-content restrictions, or anti-bot controls. Videos are transcribed locally by default and are not uploaded to third-party transcription services.
agent-platform-eval-flywheel
# Agent Platform Eval Flywheel Skill Help users evaluate and iteratively improve GenAI models and agents using the Agent Platform GenAI Evaluation SDK (`google.genai` / `agentplatform`). ## When to use this skill - Evaluating GenAI agents or models with the Agent Platform GenAI Evaluation SDK (`client.evals.evaluate()`). - Creating evaluation datasets from session traces, pandas DataFrames, or synthetic generation. - Selecting, configuring, or writing custom evaluation metrics. - Analyzing rubric verdicts,
agent-platform-model-registry
# Agent Platform Model Registry Management ## Overview This skill provides instructions for managing machine learning models in the Agent Platform Model Registry. It covers listing models, describing model details, uploading new models or versions, updating metadata, and deleting models. ## Safety & Confirmation Tiers (CRITICAL) Before executing any commands on behalf of the user, you MUST adhere to the following safety tiers based on the action requested: 1. **Tier R: Read-only (`list`, `describe`, `get`)*
data-visualization
# Data Visualization Skill Chart selection guidance, Python visualization code patterns, design principles, and accessibility considerations for creating effective data visualizations. ## Chart Selection Guide ### Choose by Data Relationship | What You're Showing | Best Chart | Alternatives | |---|---|---| | **Trend over time** | Line chart | Area chart (if showing cumulative or composition) | | **Comparison across categories** | Vertical bar chart | Horizontal bar (many categories), lollipop chart | | **Ra