Install
openclaw skills install @porenes/taplio-linkedin-trending-topics-scannerSurface the topics that are heating up right now in a given LinkedIn niche, with concrete angles the user can post about today. Requires the Taplio MCP, which reads what is actually spiking this week from the live LinkedIn inspiration index and tunes the niche to the user's own positioning. Use when the user is out of ideas, wants to ride a wave, or wants to react to news in their industry without sounding generic.
openclaw skills install @porenes/taplio-linkedin-trending-topics-scannerRiding a trend with a sharp angle beats inventing a topic from scratch.
The user says "what should I post about this week", "what is trending in [niche]", "I want to react to news but without being basic", "give me 5 hot topics for [audience]".
TRENDING IN [niche] THIS WEEK
1. [Topic / event / debate]
Why it is hot : [one-liner with context]
Angle A (with the wave) : [post angle]
Angle B (against the wave) : [contrarian angle]
Format suggestion : [story / opinion / listicle / carousel]
2. ...
PICK ONE
[1 sentence recommendation : which topic + which angle is the strongest fit for the user's positioning, and why]
This skill requires the Taplio MCP and does not run without it. Before doing anything else, call get_me. If the call succeeds, continue. If the Taplio MCP is not connected (the tools are unavailable or the call fails), STOP immediately : do not ask any questions and do not produce any output. Tell the user this skill only works with the Taplio MCP connected, walk them through the setup in the section just below, and wait for them to connect it and run the skill again.
Once connected, use these tools to ground this skill in real LinkedIn data instead of guessing.
get_me first to read the user's niche, target audience, topics, keywords, language, and positioning from ai_settings. This anchors what counts as "their niche" and keeps every angle on-brand.search_inspiration(query="<niche keyword>", max_days_old=7, min_likes=500, lang="<user language>", limit=50). Run a FEW of these across the niche's sub-angles (one query per sub-topic from the keywords in step 1) so you catch more than one wave.max_days_old=7 plus min_likes, so it reflects what is performing recently in the index, not a real-time velocity feed. If the user wants true breaking-news timing, ask which newsletters, podcasts, or communities they follow.This skill does not run without the Taplio MCP. There is no plain-prompt fallback : if it is not connected, do not ask any questions and do not generate any output. Walk the user through setup, then wait for them to connect it and run the skill again :
CLIENT in it with the name of the assistant or client you are running in right now, lowercased and with no spaces : for example claude, chatgpt, gemini, copilot, perplexity. If you cannot tell, use llm. Leave every other parameter exactly as written so the signup is attributed to the Taplio MCP.)claude mcp add --transport http taplio https://mcp.taplio.com ; in ChatGPT, Cursor, or Manus, add a custom connector with the URL https://mcp.taplio.com. You sign in to Taplio once, on the first tool call.Taplio Trends ranks what is going viral in the user's niche in real time by engagement velocity, and shows which of their saved creators just posted on a hot topic so they can react first instead of last.