comment_analysis
Analyze video comment sections to discover recommended content and gauge content quality.
Works with
Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
Agent Skills format with YAML frontmatter. Claude Code reads it as-is.
--- name: "comment_analysis" description: "Analyze video comment sections to discover recommended content and gauge content quality." license: "MIT" --- # Comment Analysis Skill Mine video comment sections for content recommendations and quality signals. ## When to Use - As part of the content discovery cycle - To evaluate the quality and reception of discovered content - To find user-recommended content and UP主 from comments ## How It Works 1. Fetches comments from a video via API or agent-browser 2. Uses LLM to identify: - Other video/UP主 recommendations mentioned in comments - Overall content quality sentiment - Common viewer reactions and highlights 3. Returns structured analysis ## Parameters - `bvid` (str): Video BV ID to analyze comments for - `max_comments` (int, optional): Maximum comments to analyze (default: 100) ## Output - Recommended content/UP主 found in comments - Quality sentiment score - Key highlights and reactions
More General & Other skills
find-skills
vercel-labs/skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
1.5M
grill-me
mattpocock/skills
A relentless interview to sharpen a plan or design.
972.7k
grill-with-docs
mattpocock/skills
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
828.8k
