Agent skill

Brainstorm Linkedin

by techwolf-ai in techwolf-ai/ai-first-toolkit

Generate LinkedIn post ideas from external sources (files, URLs, research).

MITAuto-check passedWriting & Content

Install Brainstorm Linkedin

skills CLI
$ npx skills add techwolf-ai/ai-first-toolkit --skill brainstorm-linkedin -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install techwolf-ai/ai-first-toolkit brainstorm-linkedin --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/content-studio/skills/brainstorm-linkedin .claude/skills/brainstorm-linkedin && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
brainstorm-linkedin
GitHub stars
132
Token cost
~554 tokens
SKILL.md length
232 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Generate LinkedIn post ideas from external sources (files, URLs, research).

  • Works in 6 steps: Read ALL published posts (MANDATORY - to… → Read the style guide → Process the provided context (user will… → …
  • The user provides source material (PDFs
  • SKILL.md covers Process, Evaluation Criteria and Creating Files
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Brainstorm Linkedin is an agent skill from techwolf-ai/ai-first-toolkit. Generate LinkedIn post ideas from external sources (files, URLs, research). Use when the user provides source material (PDFs, URLs, articles) to brainstorm topics. NOT for writing or developing drafts - use write-linkedin-post instead.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Brainstorming and Social media posts. It works with LinkedIn. The repository describes itself as: Open-source Claude Code skills and Codex skills for AI-first work. Audit, re-engineer, and bootstrap projects with AI-first design principles. The licence is MIT.

When your agent uses it

  • The user provides source material (PDFs
  • Articles) to brainstorm topics

Example prompts

  • “/brainstorm-linkedin”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Read ALL published posts (MANDATORY - to avoid topic/angle overlap)
  2. Read the style guide
  3. Process the provided context (user will provide one or more of)
  4. Identify 2-4 promising angles by considering
  5. Present ideas with for each
  6. Ask user to choose

What it can do on your machine

Read from SKILL.md and the folder at commit 2ee7841. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Brainstorm Linkedin loads about 554 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~554

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from techwolf-ai/ai-first-toolkit at commit 2ee7841, republished under its MIT licence (© techwolf-ai). 232 words, ~554 tokens.

Download SKILL.mdSave it as .claude/skills/brainstorm-linkedin/SKILL.md (or your agent's skills folder).
name
brainstorm-linkedin
description
Generate LinkedIn post ideas from external sources (files, URLs, research). Use when the user provides source material (PDFs, URLs, articles) to brainstorm topics. NOT for writing or developing drafts - use write-linkedin-post instead.

Brainstorm LinkedIn Posts from Source Material

Generate LinkedIn post ideas based on external context provided by the user.

Process

  1. Read ALL published posts (MANDATORY - to avoid topic/angle overlap):

    bash
    ./scripts/print-published.sh linkedin-post

    This prints all published posts with full content in one call. Note:

    • Core insights already covered
    • Data points already used
    • Angles already explored

    Do not suggest ideas that repeat existing coverage.

  2. Read the style guide:

    • guidelines/linkedin.md
    • references/professional-profile.md
  3. Process the provided context (user will provide one or more of):

    • Files (PDFs, documents, research papers)
    • URLs (articles, blog posts, announcements)
    • Raw text or ideas
  4. Identify 2-4 promising angles by considering:

    • What's the unique insight for a professional audience?
    • How does this connect to the author's expertise?
    • What's the hook that works in the first 210 characters?
    • Is there a personal angle or company connection?
  5. Present ideas with for each:

    • Proposed title
    • Core insight (1 sentence)
    • Hook approach (personal anecdote, company experience, surprising outcome, or news)
    • Why it fits the author's voice
  6. Ask user to choose:

    • Which idea(s) to develop
    • Whether to create as idea (01-ideas) or draft (02-drafts)

Evaluation Criteria

Strong LinkedIn post ideas have:

  • A concrete hook in the first 210 characters
  • A clear insight that provides value
  • Connection to the author's expertise areas
  • Room for a personal or company angle
  • Appropriate scope for the target word count

Creating Files

After user selection, get timestamp:

bash
date -u +"%Y%m%d-%H%M%S"  # For slug
date -u +"%Y-%m-%dT%H:%M:%S.000Z"  # For created/lastUpdated

Create file at: content/posts/linkedin-post/{slug}-{slugified-title}.yaml

© techwolf-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/content-studio/skills/brainstorm-linkedin of techwolf-ai/ai-first-toolkit.

Open the folder on GitHubat commit 2ee7841

Compare with similar skills

Brainstorm Linkedin next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Brainstorm Linkedin compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brainstorm Linkedin this skilltechwolf-ai/ai-first-toolkit132—~554Automated safety check: PassMIT
Content Matrixcharlie947/social-media-skills3.8k—~1.6kAutomated safety check: PassMIT
Linkedin Content Ideationhashgraph-online/awesome-codex-plugins1.2k—~595Automated safety check: PassMIT
Content CoachBlotato-Inc/blotato-skills183—~1.8kAutomated safety check: PassNone
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone

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  • Content Matrix

    charlie947/social-media-skills

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    3.8k GitHub stars~1.6k tokensUpdated 23 days ago
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  • Linkedin Content Ideation

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    Generate and prioritize LinkedIn content ideas from audience problems, industry news, questions, hashtags, competitor posts, source material, and growth experiments.

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    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.

    54k GitHub starsUsed in 4 repos~4.5k tokens
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    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.

    1k GitHub starsUsed in 23 repos~2.1k tokens
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Works with

Questions about Brainstorm Linkedin

What does Brainstorm Linkedin do?

Generate LinkedIn post ideas from external sources (files, URLs, research). Brainstorm Linkedin is an agent skill from techwolf-ai/ai-first-toolkit. Generate LinkedIn post ideas from external sources (files, URLs, research).

When should I use Brainstorm Linkedin?

Brainstorm Linkedin fits situations like: the user provides source material (PDFs; articles) to brainstorm topics.

How do I install Brainstorm Linkedin in Claude Code?

Run `npx skills add techwolf-ai/ai-first-toolkit --skill brainstorm-linkedin -a claude-code`. Or copy the skill folder (plugins/content-studio/skills/brainstorm-linkedin in techwolf-ai/ai-first-toolkit) into .claude/skills/brainstorm-linkedin in your project. Claude Code loads it when a task matches its description.

How do I install Brainstorm Linkedin in Codex?

Run `npx skills add techwolf-ai/ai-first-toolkit --skill brainstorm-linkedin -a codex`. Or copy the skill folder (plugins/content-studio/skills/brainstorm-linkedin in techwolf-ai/ai-first-toolkit) into .agents/skills/brainstorm-linkedin in your project. Codex loads it when a task matches its description.

Can I use Brainstorm Linkedin in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add techwolf-ai/ai-first-toolkit --skill brainstorm-linkedin -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brainstorm-linkedin, .gemini/skills/brainstorm-linkedin, .github/skills/brainstorm-linkedin and .opencode/skills/brainstorm-linkedin in your project.

What does Brainstorm Linkedin need to run?

SKILL.md names no scripts, command-line tools or credentials: Brainstorm Linkedin is instructions for the agent only.

Does Brainstorm Linkedin access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Brainstorm Linkedin safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Brainstorm Linkedin use?

Brainstorm Linkedin is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Brainstorm Linkedin use?

About 554 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Brainstorm Linkedin?

Skills that share tags, products or a category with Brainstorm Linkedin: Content Matrix (charlie947/social-media-skills, 3.8k stars), Linkedin Content Ideation (hashgraph-online/awesome-codex-plugins, 1.2k stars), Content Coach (Blotato-Inc/blotato-skills, 183 stars) and Social (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brainstorm Linkedin?

techwolf-ai (a GitHub organization) maintains it in techwolf-ai/ai-first-toolkit, which has 132 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 29, 2026.

Source: techwolf-ai/ai-first-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.