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Social comment analysis v1.0.0

Use this resource to spot customer language, objections and expectations in comments

New

  • 523 downloads
  • 228 likes
  • 105 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mine-social-comments-voice

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent collects public comments and replies from posts, videos and ads, then finds recurring customer wording, questions, objections, complaints and product requests. Each finding points to its sources, across several posts rather than a single thread.

Mostly picked by

Updated November 2, 2026

Card for the “Social comment analysis” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: inputs, comment collection and sorting
  • SKILL.md: sourced output format

Good fit for

  • You draft messages from what customers actually say
  • You look for objections to address on a product page

Not for

    Tags

    • comments
    • customer voice
    • objections
    • social media

    About

    You say

    “Analyze the comments on our last three videos to find recurring objections.”

    Card for the “Social comment analysis” skill

    Skill published by gooseworks-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to spot customer language, objections and expectations in comments
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.1 KB
    • skill.meta.json0.2 KB

    Origin and licence

    Listed unmodified

    Author
    gooseworks-ai
    Source
    github.com/gooseworks-ai/goose-skills/tree/1add09bd8e0d057e91e25c96b9282498e2fcb2a2/skills/shared/comment-mining
    Licence
    MIT

    Notice

    « comment-mining » (gooseworks-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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