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Li Plan

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Jakeschincariol
li-plan

Build the week on LinkedIn - what to post, when to post it, and who to engage with. Use when the user says "plan my week", "what should I post", "content calendar", "I have nothing to post about", or wants a posting schedule and an engagement list.

Overview

PublisherJakeschincariol
Repositorylinkedin-agent-skill
Skill nameli-plan
Stars
1.3K
Forks
192
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the Li Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-plan
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git /tmp/linkedin-agent-skill
mkdir -p .claude/skills
cp -r /tmp/linkedin-agent-skill/skills/li-plan .claude/skills/li-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Li Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Li Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Li Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

li-plan

The control room. Everything else in this pack executes; this decides what gets executed. Run it once a week, on the same day.

Input

If ~/.claude/linkedin/voice.md and log.md exist, read them - the plan should not repeat a theme from the last fortnight. If they do not exist, ask for four things and write them down:

  1. What the user sells, and to whom.
  2. The three or four themes they want to be known for.
  3. What actually happened this week - a client call, a number, a mistake, a thing they built, an argument they had. This is where posts come from.
  4. Ten to twenty people or companies worth being visible to.

What to post

Four posts a week beats seven. Consistency is a floor, not a target, and the fifth post of a week is almost always the weak one that drags the average.

Mix across the week, never two of the same type back to back:

typesharejob
Proof1 per weeksomething that happened, with a number
Opinion1 per weeka position that could lose you followers
Teach1 per weekone thing the reader can do today
Story1 per fortnighta scene with dialogue and a cost
Offer1 per fortnightwhat you sell, said plainly, no apology

For each slot give: the theme, the specific angle drawn from what actually happened this week, and the hook formula number from li-post/hooks.json that fits it. Not a topic - an angle. "AI" is not a plan. "The proposal we lost because our AI draft had an em dash in it" is a post.

When to post

Post when the user's audience is at a desk. For a B2B audience in one timezone, Tuesday to Thursday, 7:30-9:30am local, is the working default, with Monday afternoon and Friday morning as the second tier. Weekends are for personal-story posts or nothing.

But state this plainly: the day and hour matter far less than whether the first line is good. If the user is optimising posting times before their hooks work, they are polishing the wrong thing, and you should say so.

Anchor the times to their audience's timezone, not the user's, if those differ.

Who to engage with

Build a list of 10, split three ways:

  • 5 reach - people with an audience the user wants, whose posts they can genuinely add to. Comment before they have 20 comments or nobody sees it.
  • 3 peers - same level, same field. This is the group that reciprocates.
  • 2 buyers - people who could actually buy. Comment on their posts for weeks before any DM, and never pitch in a comment.

20 minutes a day, before posting, not after. Comments on other people's posts are what makes the user's own post land.

Output

WEEK OF SEP 8

MON  engage only  (20 min, list below)
TUE  8:15am  PROOF    #17 Time Anchor   - the 5hr -> 20min proposal rebuild
WED  engage only
THU  8:00am  OPINION  #1  Contrarian    - why we killed the discovery call
FRI  8:30am  TEACH    #21 Direct Value  - the 4-line reopen email, given away
SAT  -
SUN  4:00pm  STORY    #9  Cold Open     - the "going with someone cheaper" email

ENGAGE  (5 reach / 3 peers / 2 buyers)
  ...

Say "write Tuesday" and I will draft it.

Write the plan to ~/.claude/linkedin/plan.md so the other skills can read it. Nothing is scheduled or posted anywhere - this is a plan, and the user runs it.

Frequently asked questions

What does the Li Plan AI skill do?

Build the week on LinkedIn - what to post, when to post it, and who to engage with. Use when the user says "plan my week", "what should I post", "content calendar", "I have nothing to post about", or wants a posting schedule and an engagement list.

Why use Li Plan on TypingMind?

Because you install it once and use it with any model. Li Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Li Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Li Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Li Plan?

As many as you like. As long as a model supports skills, you can use Li Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Li Plan AI skill free?

Yes. It is published on GitHub by Jakeschincariol under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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