Openclaw Skills turns a LinkedIn profile into a recruiter-friendly, keyword-rich asset that ranks in search and converts views into conversations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-profile
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install linkedin-profile using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LinkedIn Profile Optimization?
Openclaw Skills is a LinkedIn profile optimization workflow built for two audiences at once: LinkedIn search and the human reader. It rewrites a profile into a keyword-rich headline, a first-person About section with a strong hook, achievement-led experience bullets, and a prioritized skills list based on the terms recruiters actually search for.
Use Openclaw Skills when a profile needs to be more discoverable, more persuasive, or both. The skill emphasizes search visibility, hook-before-fold writing, metrics-backed proof, and a clear call to action so the profile can surface in search, hold attention, and drive the next conversation.
LinkedIn Profile Optimization Use Cases
- Optimizing a LinkedIn headline so it communicates role, value, and target keywords instead of only a job title.
- Rewriting the About section into a first-person narrative with a hook, proof, specialties, and a goal-driven CTA.
- Turning resume-style experience into achievement-led bullets with action, impact, and metrics.
- Building a recruiter-friendly skills list that matches a target role and improves LinkedIn search visibility.
- Refreshing a profile for a job search, a career pivot, authority building, or consulting/sales inbound.
- Making an existing profile feel warmer and more narrative without losing keyword coverage.
How LinkedIn Profile Optimization Works
- Collect the minimum inputs: current role, target role or industry, recruiter keywords, achievements with metrics, the goal, and preferred voice.
- Draft a headline under 220 characters that combines role, value proposition, and searchable keywords.
- Write a first-person About section in 3–5 short paragraphs: hook in the first 1–2 lines, proof, specialties/keywords, then a clear CTA.
- Convert top experience entries into achievement-led bullets using action → impact → metric, with slightly more narrative than a resume.
- Produce a 10–15 item skills list ordered by relevance to the target role and LinkedIn search intent.
- Run quality checks: hook before the "see more" fold, first-person voice, keywords spread across sections, and measurable proof throughout.
LinkedIn Profile Optimization Setup
Openclaw Skills is prompt-based, so there is no package install or build step. Add the skill markdown to your skills library, then invoke it with the required profile details.
- Place the skill file in your local skills directory.
mkdir -p skills/linkedin-profile
cp SKILL.md skills/linkedin-profile/SKILL.md
- Make sure the agent can read the file and reload any skill index or workspace cache.
ls -l skills/linkedin-profile/SKILL.md
Provide these inputs when using the skill: current role, target role or industry, recruiter keywords, achievements, goal, and voice.
If any inputs are missing, let Openclaw Skills ask for them before generating the final LinkedIn copy.
No external APIs, keys, or dependencies are required.
LinkedIn Profile Optimization Data Schema & Taxonomy
Input taxonomy
| Field | Type | Required? | Purpose |
|---|---|---|---|
| current_role | string | Yes/if not already known | Establishes the baseline positioning |
| target_role_industry | string | Yes/if not already known | Drives keyword selection and search intent |
| recruiter_keywords | string or list | Yes/if not already known | Powers LinkedIn search optimization |
| achievements | list of metrics-backed notes | Yes/if not already known | Supplies proof for headline, About, and bullets |
| goal | enum: open roles, authority, consulting/sales | Yes/if not already known | Shapes the CTA and tone |
| voice | enum: formal, warm | Yes/if not already known | Controls first-person style |
Generated output schema
| Section | Format | Rules |
|---|---|---|
| Headline | Single line, up to 220 characters | Role + value + keywords, not just a title |
| About | 3–5 short paragraphs, first person | Hook first, proof second, CTA last |
| Experience bullets | Bullet list | Action → impact → metric, lightly narrative |
| Skills list | 10–15 keywords | Ordered by relevance to the target role |
Metadata taxonomy
- Front matter identifies the skill (
name,description,homepage, andmetadata.openclaw.emoji). - The body organizes the operating logic into purpose, required inputs, output format, quality checks, and anti-patterns.
- The skill is stateless: it generates LinkedIn-ready copy rather than persisting profile data.
- No output files are generated by default; users paste the returned sections directly into LinkedIn.
LinkedIn Profile Optimization Advanced Features
- Keyword-aware headline engineering that balances recruiter search relevance with human readability.
- Hook-before-fold About writing designed for the first 1–2 visible lines.
- First-person narrative control with formal or warm voice options.
- Metrics-first experience rewrites that turn duties into proof of impact.
- Goal-specific CTAs for open-to-work, authority building, or consulting/sales outreach.
- Search-aligned skills prioritization that surfaces the right terms across the whole profile.
- Built-in quality checks and anti-pattern detection to avoid generic, invisible profiles.
- Openclaw Skills can be reused across roles and industries by swapping the input keywords and achievements.
SKILL.md
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