Social Strategy
social-media-skills/skills
A skill your agent uses to set a brand's overall social media strategy — which channels to focus on (and which to ignore), what to achieve, the angle to win, and a realistic operating cadence.
Automate LinkedIn content creation, posting, engagement tracking, and audience growth.
Install Linkedin Automator
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-automator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-automator .claude/skills/linkedin-automator && rm -rf skills-srcUse ~/.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/
Install the "linkedin-automator" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-automator into .claude/skills/linkedin-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-automator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-automatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-automator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkedin-automator .agents/skills/linkedin-automator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-automator" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-automator into .agents/skills/linkedin-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-automator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-automator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkedin-automator .cursor/skills/linkedin-automator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkedin-automator" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-automator into .cursor/skills/linkedin-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-automator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sundial-org/awesome-openclaw-skills.git --path skills/linkedin-automator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-automator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkedin-automator .gemini/skills/linkedin-automator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkedin-automator" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-automator into .gemini/skills/linkedin-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-automator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-automatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkedin-automator .github/skills/linkedin-automator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-automator" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-automator into .github/skills/linkedin-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-automator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills linkedin-automator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkedin-automator .opencode/skills/linkedin-automator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-automator" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/linkedin-automator into .opencode/skills/linkedin-automator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-automator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkedin-automator- GitHub stars
- 663
- Token cost
- ~685 tokens
- SKILL.md length
- 188 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- None found
At a glance
Automate LinkedIn content creation, posting, engagement tracking, and audience growth.
- Works in 2 steps: Browser tool enabled in OpenClaw → LinkedIn logged in via browser (use…
- Posting content
- SKILL.md covers Prerequisites, Quick Commands, Workflows and Browser Selectors, plus 2 more sections
- Runs Shell scripts from its folder
What it does
Linkedin Automator is an agent skill from sundial-org/awesome-openclaw-skills. Automate LinkedIn content creation, posting, engagement tracking, and audience growth. Use for posting content, scheduling posts, analyzing engagement metrics, generating content ideas, commenting on posts, and building LinkedIn presence. Requires browser access with LinkedIn logged in.
Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/content-strategy.md`, `references/engagement.md` and `scripts/analytics.sh`).
It sits in Productivity & Automation, covering Product metrics. It works with LinkedIn. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.
When your agent uses it
- Posting content
- Scheduling posts
- Analyzing engagement metrics
- Generating content ideas
Example prompts
- “/linkedin-automator”
Requirements
- A Bash shell
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Browser tool enabled in OpenClaw
- LinkedIn logged in via browser (use profile with LinkedIn session)
What it can do on your machine
Read from SKILL.md and the folder at commit b80cde2. 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
Ships 5 files in scripts/ (Shell), which the agent can run.
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
Linkedin Automator loads about 685 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 188 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 188 words (~685 tokens).
“Automate your LinkedIn presence: post content, track engagement, generate ideas, and grow your audience.”
- name
- linkedin-automator
Files
SKILL.md and 7 other files (scripts, references) in skills/linkedin-automator of sundial-org/awesome-openclaw-skills.
- SKILL.md
- references/content-strategy.md
- references/engagement.md
- scripts/analytics.sh
- scripts/engage.sh
- scripts/ideas.sh
- scripts/post.sh
- scripts/schedule.sh
Open the folder on GitHubat commit b80cde2
Compare with similar skills
Linkedin Automator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkedin Automator this skillsundial-org/awesome-openclaw-skills | 663 | — | ~685 | Automated safety check: Pass | None | |
| Social Strategysocial-media-skills/skills | 134 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Linkedin Announcement Generatordmccreary/ibook-skills | 105 | — | ~5k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Wechat Writerflaqai/backlink_skills | 756 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Scrapecreators APIScrapeCreators/social-media-research-skills | 3.4k | — | ~4k | Automated safety check: Notes | MIT | |
| Business Literacymanager-dot-dev/manager-skills | 114 | — | ~2.4k | Automated safety check: Pass | MIT |
Similar skills
Linkedin Announcement Generator
dmccreary/ibook-skills
Generates a LinkedIn post announcing an intelligent textbook milestone by pulling book metrics, chapter count, and key statistics.
Wechat Writer
flaqai/backlink_skills
微信公众号文章的选题、研究、写作、改稿、审稿与交付工作流。Use when creating, outlining, researching, rewriting, auditing, or packaging Chinese WeChat Official Account articles, 微信文章, 公众号推文, 公众号长文, 热点解读, 干货教程, 观点文, 故事文, 对比测评…
Scrapecreators API
ScrapeCreators/social-media-research-skills
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API.
Business Literacy
manager-dot-dev/manager-skills
Explains business financial terms and frameworks for engineering managers — produces term definitions (ARR, COGS, CAC, LTV, gross margin, burn rate, EBITDA, AARRR), translation formulas for making…
Feature Launch Playbook
gooseworks-ai/goose-skills
Take a new feature or product update and generate the full launch kit: changelog entry, email announcement, LinkedIn post variants, in-app banner text, Twitter/X thread, and internal sales…
More from sundial-org/awesome-openclaw-skills
All 383 skills in this repoUI UX Pro Max
sundial-org/awesome-openclaw-skills
UI/UX design intelligence and implementation guidance for building polished interfaces.
Web Deploy GitHub
sundial-org/awesome-openclaw-skills
Create and deploy single-page static websites to GitHub Pages with autonomous workflow.
Clawd Modifier
sundial-org/awesome-openclaw-skills
Modify Clawd, the Claude Code mascot. An agent skill from sundial-org/awesome-openclaw-skills.
Figma
sundial-org/awesome-openclaw-skills
Professional Figma design analysis and asset export. An agent skill from sundial-org/awesome-openclaw-skills.
Habit Flow
sundial-org/awesome-openclaw-skills
AI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching.
Edge Tts
sundial-org/awesome-openclaw-skills
Text-to-speech conversion using node-edge-tts npm package for generating audio from text.
Related
Works with
Questions about Linkedin Automator
What does Linkedin Automator do?
Automate LinkedIn content creation, posting, engagement tracking, and audience growth. Linkedin Automator is an agent skill from sundial-org/awesome-openclaw-skills. Automate LinkedIn content creation, posting, engagement tracking, and audience growth.
When should I use Linkedin Automator?
Linkedin Automator fits situations like: posting content; scheduling posts; analyzing engagement metrics; generating content ideas.
How do I install Linkedin Automator in Claude Code?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a claude-code`. Or copy the skill folder (skills/linkedin-automator in sundial-org/awesome-openclaw-skills) into .claude/skills/linkedin-automator in your project. Claude Code loads it when a task matches its description.
How do I install Linkedin Automator in Codex?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill linkedin-automator -a codex`. Or copy the skill folder (skills/linkedin-automator in sundial-org/awesome-openclaw-skills) into .agents/skills/linkedin-automator in your project. Codex loads it when a task matches its description.
Can I use Linkedin Automator 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 sundial-org/awesome-openclaw-skills --skill linkedin-automator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-automator, .gemini/skills/linkedin-automator, .github/skills/linkedin-automator and .opencode/skills/linkedin-automator in your project.
What does Linkedin Automator need to run?
Going by SKILL.md and its folder, Linkedin Automator needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
Does Linkedin Automator 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 Linkedin Automator 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Linkedin Automator use?
No licence was found for Linkedin Automator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Linkedin Automator use?
About 685 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Linkedin Automator?
Skills that share tags, products or a category with Linkedin Automator: Social Strategy (social-media-skills/skills, 134 stars), Linkedin Announcement Generator (dmccreary/ibook-skills, 105 stars), Wechat Writer (flaqai/backlink_skills, 756 stars) and Scrapecreators API (ScrapeCreators/social-media-research-skills, 3.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkedin Automator?
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.