linkedin-automation▌
claude-office-skills/skills · updated Apr 8, 2026
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Comprehensive skill for automating LinkedIn marketing and B2B lead generation.
LinkedIn Automation
Comprehensive skill for automating LinkedIn marketing and B2B lead generation.
Core Workflows
1. Content Pipeline
LINKEDIN CONTENT FLOW:
┌─────────────────┐
│ Content Plan │
│ - Topics │
│ - Calendar │
└────────┬────────┘
▼
┌─────────────────┐
│ Create Post │
│ - Text │
│ - Visual │
│ - Document │
└────────┬────────┘
▼
┌─────────────────┐
│ Optimize │
│ - Hook │
│ - Hashtags │
│ - CTA │
└────────┬────────┘
▼
┌─────────────────┐
│ Schedule │
│ - Best time │
│ - Frequency │
└────────┬────────┘
▼
┌─────────────────┐
│ Engage │
│ - Comments │
│ - DMs │
└─────────────────┘
2. Lead Generation Flow
lead_gen_workflow:
search:
filters:
- industry: "Software"
- company_size: "51-200"
- title_contains: ["CEO", "CTO", "VP"]
- location: "San Francisco Bay Area"
qualify:
criteria:
- has_recent_activity: true
- mutual_connections: "> 3"
- engagement_score: "> 50"
outreach:
sequence:
- action: connect
message: connection_request
- wait: 2_days
- action: message
template: intro_message
- wait: 3_days
- action: follow_up
template: value_add
Content Templates
Post Formats
post_templates:
story_post:
format: |
{{hook_line}}
↓
{{story_paragraph_1}}
{{story_paragraph_2}}
{{lesson_learned}}
{{call_to_action}}
---
♻️ Repost if this resonated
🔔 Follow for more insights
example: |
I got rejected 47 times before landing my dream job.
↓
Each rejection felt like a punch to the gut.
But I kept going.
Here's what changed everything:
I stopped trying to "impress" and started being authentic.
The 48th interview? I got 2 offers.
Lesson: Rejection is redirection, not the end.
---
♻️ Repost if this resonated
🔔 Follow @profile for career tips
list_post:
format: |
{{title}}
{{point_1}}
{{point_2}}
{{point_3}}
{{point_4}}
{{point_5}}
{{wrap_up}}
Which one is most important to you? 👇
carousel:
slides:
- cover: hook_title
- slides: [content_1, content_2, content_3]
- cta: follow_cta
design:
size: "1080x1350"
format: "pdf"
Engagement Templates
engagement_templates:
comment_responses:
thanks:
- "Thanks for sharing your perspective, {{name}}!"
- "Great point, {{name}}. I hadn't considered that angle."
- "Appreciate you adding to the conversation, {{name}}!"
question:
- "Great question! {{answer}}"
- "I'd say {{answer}}. What's your take?"
proactive_comments:
value_add:
- "This is spot on. I'd add that {{insight}}..."
- "Love this perspective. In my experience, {{experience}}..."
- "Couldn't agree more. The key is {{key_point}}..."
Outreach Automation
Connection Requests
connection_templates:
mutual_connection:
message: |
Hi {{first_name}},
I noticed we're both connected to {{mutual}}.
I'm impressed by your work at {{company}}.
Would love to connect and learn more about
what you're building.
Best,
{{my_name}}
shared_interest:
message: |
Hi {{first_name}},
I came across your post about {{topic}} and
found it really insightful.
I'm also passionate about {{topic}} and would
love to connect.
Looking forward to learning from you!
Message Sequences
outreach_sequence:
- step: 1
type: connection_request
template: mutual_connection
- step: 2
trigger: connection_accepted
delay: 2_days
type: message
template: |
Thanks for connecting, {{first_name}}!
I'm curious - what's the biggest challenge
you're facing with {{pain_point}} right now?
- step: 3
trigger: no_response
delay: 5_days
type: message
template: |
Hi {{first_name}},
Just wanted to share this {{resource_type}}
on {{topic}} - thought you might find it useful:
{{resource_link}}
No strings attached, just thought of you!
- step: 4
trigger: response_received
type: personalized
action: manual_follow_up
Company Page Management
Page Content Strategy
company_page:
content_pillars:
- thought_leadership: 40%
- company_culture: 25%
- product_updates: 20%
- industry_news: 15%
posting_schedule:
How to use linkedin-automation on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add linkedin-automation
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches linkedin-automation from GitHub repository claude-office-skills/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate linkedin-automation. Access the skill through slash commands (e.g., /linkedin-automation) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★66 reviews- ★★★★★Hana Khan· Dec 28, 2024
linkedin-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Amelia Thompson· Dec 24, 2024
Registry listing for linkedin-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Advait Iyer· Dec 12, 2024
I recommend linkedin-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Amelia Garcia· Dec 4, 2024
Solid pick for teams standardizing on skills: linkedin-automation is focused, and the summary matches what you get after install.
- ★★★★★Daniel Taylor· Nov 23, 2024
We added linkedin-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Sanchez· Nov 19, 2024
I recommend linkedin-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sofia Torres· Nov 15, 2024
Useful defaults in linkedin-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aditi Flores· Nov 3, 2024
linkedin-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Naina Dixit· Oct 22, 2024
Registry listing for linkedin-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sofia Ramirez· Oct 14, 2024
linkedin-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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