Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsweft linkedin post sentiment
Quantify LinkedIn audience feedback with auditable sentiment classification and thematic analysis.
Free
weft linkedin post sentiment
Example session with this skill installed
Analyze the sentiment of the comments on this LinkedIn post: https://www.linkedin.com/posts/agensi-ai_launch-announcement-activity-723910123456789/
- Read your context and instructions
- Compiled the weft linkedin post
- Generated the document
I have retrieved and analyzed 42 comments from the provided LinkedIn post. The analysis target was the Agensi launch announcement.
Audience Sentiment Brief
Target: Agensi Launch Announcement
Collection Time: 2026-09-12 14:00 UTC
Sample Size: 42 records (0 duplicates, 2 excluded for spam)
Included Count: 40 comments
| Sentiment | Comments | Percent |
|---|---|---|
| Positive | 26 | 65% |
| Negative | 4 | 10% |
| Neutral | 7 | 17.5% |
| Mixed | 2 | 5% |
| Unclear | 1 | 2.5% |
Key Themes
Ease of Integration (Positive): 12 comments explicitly mentioned the simplicity of the SDK. (Ref: row_4, row_18, row_22).
*
Pricing Concerns (Negative): 3 comments questioned the credit-based consumption model for small teams. (Ref: row_9, row_31).
*
Security & Privacy (Neutral/Question): 5 comments asked about data residency and SOC2 compliance status. (Ref: row_12, row_15).
Execution Receipt
| Service / action | Paid USD | Held USD | Payment status | Result |
|---|---|---|---|---|
| Weft Apify Credit | $1.00 | $0.00 | Settled | Success |
| linkedin-post-comments | $0.02 | $0.00 | Settled | 42 records |
Next steps
- Review the "Security" questions to prepare a boilerplate FAQ response.
- Address the pricing concerns in a follow-up post or comment thread.
- Export the raw classification ledger if you need to audit individual labels.
weft-linkedin-post-sentiment.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Manual analysis of LinkedIn comment sections is slow and prone to observer bias. Developers and social teams struggle to quantify audience reactions to announcements or product launches without wasting hours reading every thread.
What it does
- Authenticates with Apify via Weft to harvest up to 100 root comments from a specific LinkedIn post URL.
- Classifies every comment using a strict rubric: Positive, Negative, Neutral, Mixed, or Unclear.
- Aggregates recurring feedback into thematic groups with supporting source evidence and counterpoints.
- Generates a sentiment brief including a quantitative breakdown, exclusion reports, and a cost receipt.
Frameworks & tools
Apify, Weft Network, harvestapi/linkedin-post-comments, LinkedIn API.
Why this beats prompting it yourself
Generic LLM prompts often hallucinate sentiment or ignore sarcasm and mixed signals. This skill enforces a structured classification ledger, deduplicates records by source URL, and ensures every claim is backed by auditable comment data rather than vague impressions.
Use cases
- Analyze the reception of a major product announcement or funding news.
- Identify recurring technical questions or concerns raised by the developer community.
- Summarize satisfaction levels and specific praise for PR reporting.
- Detect early-stage backlash or common misunderstandings in high-volume threads.
Known limitations
Analyzes root comments only; does not scrape replies. Limited to the first 100 items per post. Does not perform identity verification or outreach.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
3 installs
Downloaded by developers to date
Free forever
No account required to browse
Trust & safety
Security scanned
Verified clean 23 days ago
- Free to download with an account