TaplioOfficial

linkedin-analytics-interpreter

Translate raw LinkedIn analytics (impressions, engagement rate, profile visits, follower growth, top posts) into a clear diagnosis : what is working, what is not, and 3 specific actions to take next month. Use when the user has numbers but does not know what they mean or what to do about them. Requires the Taplio MCP, which pulls the user's real analytics and per-post data directly instead of asking them to paste numbers.

linkedin-audience-persona-builder

Build a sharp, post-ready persona of the user's target LinkedIn audience : role, pains, jobs to be done, vocabulary, aspirations, what content they consume, what objections they raise. Use when the user is starting on LinkedIn or when their content does not resonate (low comments, no DMs, traffic without conversion). Requires the Taplio MCP, which seeds the persona from the user's live target audience and cross-checks the vocabulary against real posts.

linkedin-carousel-builder

Turn a topic, framework, or long-form idea into a LinkedIn carousel script (cover slide + value slides + CTA slide). Returns slide-by-slide copy ready to drop into Canva or any carousel tool. Use when the user wants to ship a carousel but only has the idea or a long-form draft. Requires the Taplio MCP to pull the user's live voice and proven carousel angles, then save the caption as a draft.

linkedin-content-calendar-planner

Generate a 4-week LinkedIn content calendar tuned to the user's pillars, posting cadence, and audience. Returns a day-by-day plan with topic, format, hook angle, and CTA per post. Use when the user wants a system for the next month instead of inventing content every morning. Once the plan is confirmed it writes a complete, publish-ready post for every slot, creates them all as Taplio drafts, keeps the calendar in memory, and only schedules each draft after the user has reviewed and approved it. Requires the Taplio MCP.

linkedin-content-pillars-builder

Define 3 to 5 LinkedIn content pillars consistent with the user's positioning, plus 5 to 10 post topics for each pillar. Pillars are the recurring themes that make a creator recognizable. Use after the user has defined their niche, or when their content feels random and they want a system. Requires the Taplio MCP, which grounds the pillars in which existing themes already perform and pulls live inspiration for the niche.

linkedin-cta-optimizer

Rewrite the closing of a LinkedIn post to maximize the chosen outcome (comments, shares, profile visits, DM, link clicks, follows). Diagnoses why the current CTA is weak, offers 3 to 5 alternatives ranked by likely performance. Use when the user has a finished post but the CTA is generic or absent. Requires the Taplio MCP to ground the rewrite in which of the user's own past CTAs actually drove engagement and apply the new CTA to the draft.

linkedin-hook-generator

Generate 10 LinkedIn hooks for a given topic, using proven hook patterns (curiosity, contrarian, number, question, tension, before-after, callout). Returns a ranked list with the strongest hook first. Use when the user has a draft but the opening line is weak, or when they want to A/B test hooks. Requires the Taplio MCP to weight the hooks on what is actually working in the user's niche right now and stash the winner as a draft.

linkedin-niche-creator-finder

Identify the top LinkedIn creators in a given niche, with their angle, format mix, posting frequency, and what makes their content work. Returns a ranked list with concrete observations the user can steal. Requires the Taplio MCP, which grounds the list in real high-performing posts pulled from the live LinkedIn inspiration index and the user's own niche and keywords. Use when the user is starting on LinkedIn, exploring a new niche, or looking for inspiration to model their content on.

linkedin-niche-definer

Help the user define (or sharpen) their LinkedIn niche : audience, problem they solve, unique angle, and one-line positioning. The skill walks the user through a 7-question diagnostic, then synthesizes a positioning statement they can use across headline, About, and posts. Use when the user says "I do not know what to post about" or "my content is too broad". Requires the Taplio MCP, which pulls the user's live self-description, audience, and reach stats to ground the positioning in real data.

linkedin-post-performance-critic

Cold-read a LinkedIn post draft and audit it across 6 dimensions (hook, structure, scannability, specificity, CTA, voice). Returns a score per dimension, the 2 most important fixes, and a rewrite of the weakest section. Use BEFORE publishing, when the user wants a sanity check from a critic that does not love everything they write. Requires the Taplio MCP, which reads the user's real voice, audience, and niche benchmarks to ground the audit instead of guessing.

linkedin-post-writer

Write a publish-ready LinkedIn post from a raw idea. Pick a format (storytelling, opinion, listicle, contrarian, experience-recap), generate hook + body + CTA, and return three variants so the user can pick the strongest. Use whenever the user has a topic but no draft. Requires the Taplio MCP to pull the user's live LinkedIn voice and proven angles, then save the chosen variant as a draft.

linkedin-profile-optimizer

Audit a LinkedIn profile (headline, banner copy, About, featured section, experience) and return prioritized fixes with rewritten copy. Optimizes for the user's positioning : do visitors instantly understand who they help, with what, and how to engage. Use when the user is starting on LinkedIn, repositioning, or watching their profile-visit-to-follow ratio drop. Requires the Taplio MCP.

linkedin-repurposer

Convert an existing piece of content (blog post, tweet, YouTube video transcript, podcast snippet, Notion doc) into a native LinkedIn post. Strips formatting that does not work on LinkedIn, finds the best angle, rewrites the hook for the LinkedIn feed. Use when the user already has content elsewhere and wants to recycle it. Requires the Taplio MCP to match the user's live LinkedIn voice and save each repurposed post as a draft to spread across the week.

linkedin-story-extractor

Extract a publishable LinkedIn story from a raw user experience. The user dumps an experience (a project, a failure, a win, a meeting, a conversation), and the skill structures it into a story-arc post (situation, tension, turning point, lesson). Use when the user has lived something but does not know how to turn it into content. Requires the Taplio MCP to pull proven story angles from the user's niche and save the finished story as a draft.

linkedin-swipe-file-builder

Help the user assemble a personal swipe file of high-performing LinkedIn posts, organized by hook pattern, format, and angle. The skill defines the structure, asks for inputs, turns saved posts into a usable reference library, then drafts the user's own post for every reference in the file (reusing structure, not substance) and saves the approved ones as drafts. It seeds the file with real high-performing posts from the live inspiration index and the user's own top performers. Use when the user wants to systematically learn from what works without copying it. Requires the Taplio MCP.

linkedin-trending-topics-scanner

Surface 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.

linkedin-viral-post-analyzer

Decode why a specific LinkedIn post performed unusually well. Breaks the post down into hook, structure, format, emotional triggers, timing, and audience match, then produces a reusable template the user can apply to their own content. Requires the Taplio MCP to pull live viral posts to study and fetch the user's own posts and analytics. Use when the user pastes a viral post they want to learn from.

linkedin-comment-opportunity-finder

Find the LinkedIn posts the user should comment on today to earn visibility, followers, and inbound. Pulls live candidates from the Taplio engagement feeds (the personalized selection, a curated creator feed for their niche, or a keyword search), scores each post on recency, audience overlap, engagement velocity, and topic match, and returns a prioritized list with the right comment angle for each, ready to hand to the Smart Comment Writer. Use when the user wants to grow through engagement instead of, or on top of, posting. Requires the Taplio MCP to read the feeds, the post urns, and the user's niche settings.

linkedin-comment-reply-manager

Clear the comment inbox under the user's own LinkedIn posts. Pulls the comments that still need an answer (already answered, own, and hidden comments are filtered out), triages each one (question, pushback, lead signal, praise, spam), drafts a reply in the user's voice, and schedules the approved replies to post under their name. Use when the user says reply to my comments, what is waiting under my posts, or wants to keep the conversation going in the first hours after publishing. Requires the Taplio MCP to read the threads, save the reply drafts, commit them, and confirm they went live.

linkedin-connection-request-hook

Write the note of a LinkedIn connection request that gets accepted and noticed. Adapts to the context : cold outreach, after a comment exchange, after an event, after the person engaged with the user's content, or through a mutual contact. Returns 3 options under 300 characters ranked by acceptance likelihood. Use when the user wants to connect with someone they do not know yet, or with a warm lead from their comments. Requires the Taplio MCP to pull the user's voice and, for warm leads, the exact comment the person left on the user's post.

linkedin-daily-engagement-routine

Run the user's daily 15-minute LinkedIn engagement session end to end : answer what is waiting under their own posts, pick today's 5 posts to comment on from the Taplio feeds, draft every reply and comment in their voice, get one batch approval, schedule everything, and close with the queue, yesterday's failures, and today's numbers. Use when the user says run my engagement routine, do my daily comments, or wants engagement handled in one pass. Requires the Taplio MCP for the feeds, the threads, the drafts, the commits, and the stats.

linkedin-dm-opener

Write the first DM after a LinkedIn connection request is accepted, or after a comment exchange turns into a connection. The goal is to open a real conversation, not pitch. Returns 3 short, warm, specific options that earn a reply, referencing the real exchange when the person came from the user's comments. Use when the user just got a new connection and does not know what to say, or always falls into the auto-pitch trap. Requires the Taplio MCP to pull the user's voice and the comment thread the connection started from.

linkedin-engagement-tracker

Audit the user's LinkedIn commenting activity from the Taplio comment queue and history : what is still in draft, what is pending, what posted, what failed and why, how many comments and replies went out per day, and whether the commenting days line up with profile views and follower growth. Returns a status board, the fix for each failure, and 3 adjustments for next week. Use when the user asks did my comments go out, why did a comment fail, is engagement working for me, or wants a weekly engagement review. Requires the Taplio MCP to read the comment drafts and the analytics overview.

linkedin-engagement-watchlist-builder

Build the bench of creators the user should engage with every day. Samples the Taplio curated feeds that match their niche, the personalized selection, and a keyword search, clusters the live posts by author, and returns a ranked watchlist of 10 to 15 creators split into reach targets (bigger audiences, for visibility) and peers (for relationships), plus the 2 or 3 feeds to work daily and the angle to take with each creator. Use when the user asks who should I engage with, is setting up a commenting routine, or their current bench has gone stale. Requires the Taplio MCP to list the feeds and read live posts with author data.

linkedin-smart-comment-writer

Write a LinkedIn comment that gets noticed by the post author and the audience, save it as a Taplio comment draft, and, only on the user's explicit go, schedule it to post under their name. Avoids the generic great-post trap : 3 options on one angle (add, disagree, story, framework, question), ranked by likelihood of being pinned or replied to, written after reading what the thread already says. Use after the user has a post in mind, a pick from the Comment Opportunity Finder, or a LinkedIn post url. Requires the Taplio MCP to read the post and its thread, save the draft, commit it, and confirm it went live.

linkedin-warm-lead-finder

Turn the comments under the user's own LinkedIn posts into a ranked warm-lead list. Reads the recent threads, matches each commenter's headline against the user's target audience, scores intent (a question about the method or offer, a shared situation, a repeat commenter, respectful pushback), and returns who is worth a conversation, what they said, the reply to send, and the next step (connection request, DM, or not yet). Use when the user asks who in my comments is worth talking to, wants leads from their content, or is preparing outreach. Requires the Taplio MCP to read who commented and what they wrote, and to save the replies.