About this skill

Problem

YouTube data requests often span videos, channels, comments, search, and trends. When a user asks a natural-language question, the main engineering risk is not simply 'fetch YouTube data,' but choosing the wrong endpoint, guessing parameters, falling back to page scraping, or continuing live calls without authentication. keyapi-youtube addresses this by turning business goals into documentation-backed KeyAPI REST workflows.

How It Works

The skill first normalizes the request into goal, entity, scope, metrics, and output format. For example, it can distinguish video engagement analysis, channel metadata resolution, Shorts search, comment-tree inspection, or trend reporting. It then selects the closest scenario, resolves the current method, /v1/... path, required parameters, pagination, and response shape from https://docs.keyapi.ai/llms.txt or scripts/search-keyapi-docs.mjs, and only then executes the live request. When scripts are available, it prefers scripts/keyapi-api.mjs; otherwise it uses the host HTTP client with the same documented contract. Results are presented with a clear split between API-observed facts and analytical inference.

Boundaries

This skill assumes KeyAPI Bearer authentication and should pause when KEYAPI_TOKEN is unavailable instead of substituting web scraping. It is suited to auditable YouTube metadata queries and reusable report workflows, not to bypassing API limits, scraping full unstructured content, or calling undocumented endpoints. For broad reports, confirm sections, pagination depth, and output format before issuing multiple endpoint calls.

Screenshots

Use Cases

During content review, compare a channel's recent videos and Shorts by views, likes, comments, and publish date, then format the result as a table.
For user feedback analysis, inspect top-level comments and high-engagement replies on a popular video to surface repeated product usage issues.
For competitor tracking, resolve a channel handle into a channel ID, then retrieve recent videos for a content calendar review.
For topic research, search YouTube videos or trending content by keyword, region, and language, then filter a candidate list.

Best For

Video operations leads who need to compare channel videos, Shorts, and engagement metrics in a review-ready table.
Product managers who need to extract repeated user experience issues from popular video comments and nested replies.
Market analysts who need to resolve competitor channel handles into channel IDs and track recent uploads.
Content strategists who need to search trending videos by keyword, region, and language, then summarize structured topic options.

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