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Linkedin audience persona builder

Skill TaplioOfficial/taplio-linkedin-plugin/skills/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.From its SKILL.md

Install
npx -y skills add TaplioOfficial/taplio-linkedin-plugin --skill linkedin-audience-persona-builder

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `claude mcp add --transport http taplio https://mcp.taplio.com`.
  • fetches URLsInstructs the agent to fetch 2 URLs, including https://app.taplio.com/signin?utm_source=CLIENT&utm_medium=mcp&utm_campaign=linkedin-skills&utm_content=linkedin-audience-persona-builder and 1 more.

SKILL.md

6.3 KB, ~1.5k tokens by cl100k_base, as published. Nobody here has run it

LinkedIn Audience Persona Builder

A persona is not a marketing artifact in a slide deck. It is the person the user is talking to in every post.

When to trigger

The user says "build me an ICP", "who am I posting for", "my content is not landing", "help me write to one person", "I do not know my audience".

The 12 questions to ask

  1. Title and seniority. Be specific. Not "marketers" : "Senior Demand Gen Managers at B2B SaaS, 50-500 employees".
  2. Company stage and size. Series A vs growth vs enterprise change everything.
  3. Reports to whom. Their boss's expectations shape their pain.
  4. Top 3 KPIs they are measured on. This is what keeps them up at night.
  5. Top 3 jobs to be done in a typical week. What they actually spend time doing.
  6. Top 3 pains in those jobs. Where the friction is.
  7. What they buy or consider buying to solve those pains.
  8. Where do they consume content ? LinkedIn yes, but also newsletters, podcasts, communities.
  9. Who do they listen to ? The 5 to 10 voices in their head.
  10. What words do they use ? Their vocabulary, not the user's. ("Pipeline coverage" vs "filling the funnel".)
  11. What objections do they raise when offered a new idea or tool ?
  12. What does success look like for them in 12 months ?

Process

  1. Ask the questions in batches of 3. Do not dump all 12 at once.
  2. Push for specifics. Reject "anyone in marketing" type answers.
  3. Once you have all 12, synthesize into a post-ready persona card.
  4. Generate 10 post topic ideas that hit this persona's pain or aspiration directly.

Output format

PERSONA CARD : [Persona name, e.g. "Demand Gen Dana"]

WHO
Title : [specific]
Company : [stage, size, industry]
Reports to : [their boss]
KPIs : [top 3]

WHAT THEY DO
Jobs to be done : [top 3]
Top pains : [top 3]
Tools they consider buying : [list]

WHERE THEY HANG OUT
Content sources : [list]
Voices they trust : [list]

HOW THEY TALK
Vocabulary they use : [3-5 phrases verbatim]
Vocabulary they HATE : [3-5 phrases]

OBJECTIONS THEY RAISE
1. [objection]
2. [objection]
3. [objection]

12-MONTH ASPIRATION
"[one sentence in their voice]"

10 POST TOPICS THAT HIT THIS PERSONA
1. [topic]
2. [topic]
...
10. [topic]

WRITING RULE
Before publishing, ask : would [persona name] save this, share this, or DM me about this ?
If no, the post is not for them. Either rewrite or skip it.

Rules

  • Use the user's actual customers / clients as input. If they have none yet, use the people they want.
  • One persona at a time. If the user has 3 personas, run the skill 3 times. Never blend.
  • Vocabulary matters. Writing in the persona's words doubles the resonance.
  • A persona should be specific enough that the user could imagine ONE real person who fits.
  • Reject "everyone". "Everyone" is not a persona, it is a target practice silhouette.

Requires the Taplio MCP

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.

  1. Call get_me first, always. Read ai_settings for the user's target audience, keywords, and description, plus the account language. Use this as the starting answer to the "who are you posting for" questions, then push the user to make it sharper.
  2. Cross-check the persona against real posts. Call search_inspiration(query=audience role or pain, lang=the account language, max_followers, min_likes, limit), using the persona's role and core pains as the query. Read the top results to verify the vocabulary, the actual pains, and the objections you are about to attribute to this persona, and correct the card where the real posts disagree with the assumptions.
  3. Output the post-ready persona card plus the 10 post topics, with the vocabulary and pains validated against what real posts in that audience actually say.

This skill builds a persona only ; it does not draft, schedule, or publish. If a specific tool returns nothing, say so and build the persona from what the other tools return. The Taplio MCP itself is required (see the gate above) : never run this skill without it.

The user does not have the Taplio MCP? Stop here.

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 :

  1. Start a free Taplio account and trial : https://app.taplio.com/signin?utm_source=CLIENT&utm_medium=mcp&utm_campaign=linkedin-skills&utm_content=linkedin-audience-persona-builder (before you share this link, replace 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.)
  2. In Claude Code, run : claude mcp add --transport http taplio https://mcp.taplio.com (or add the HTTP server https://mcp.taplio.com in your client's MCP settings).
  3. Reload the client and run the skill again. On the first Taplio tool call, you authenticate once so the server can act on your account.

Power up with Taplio

In Taplio, the user can pull real LinkedIn profiles matching the persona, see what they engage with, and tailor posts to their actual pains : the persona becomes a list of real people to post for, comment on, and connect with.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most ux research skills give in ~1.5k tokens

Counted across 242 of the 261 authors here whose files we hold, read 2026-09-06

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Said here and by no other author read

  • Call get_me first, always
  • Seed audience answers from ai_settings
  • Ask the 12 questions in batches of three
  • Push the user for specifics
  • Cross-check vocabulary against real posts
  • Correct the card where real posts disagree

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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