Curating User Generated Content
CheckedThis skill automatically identifies and highlights engaging user-generated content, boosting visibility & community interaction.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add wesleysmits/agent-skills --skill curating-user-generated-content -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
wesleysmits
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned wesleysmits/agent-skills at 10274ee62f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 10274ee62f
- Scanned
- 4 files, 678 lines
About this skill
What it does
This skill helps AI agents sift through and organize user-submitted content. It can identify relevant pieces from a larger pool, filter based on specified criteria (like sentiment or topic), and present the most valuable contributions for review or further action. The agent can also summarize large collections of user generated content into concise reports.
When to use it
- Moderating online forums: Automatically flag potentially inappropriate posts or highlight insightful discussions within a community.
- Analyzing customer feedback: Quickly identify recurring themes and sentiment from reviews, surveys, or social media comments.
- Content aggregation: Compile relevant articles or blog posts based on user-defined keywords or topics.
- Research projects: Filter through large datasets of text (e.g., tweets, forum posts) to extract specific information for analysis.
Key capabilities
- Filtering by sentiment
- Topic identification
- Relevance scoring
- Summarization of content collections
Example prompts
- "Find the most positive reviews about our new product from the last week."
- "Summarize all forum posts mentioning 'travel' and 'budget'."
- "Identify any user-submitted articles that discuss renewable energy sources."
Tips & gotchas
The quality of results depends heavily on the clarity of your filtering criteria. Providing specific keywords, desired sentiment ranges, or topic categories will yield more accurate and useful curated content.