SkillAgentSearch skills...

Skills

38 production AI agent skills — lead gen, email automation, browser automation, content creation & infrastructure. Works with Claude Code, Cursor, Copilot & 40+ agents.

Install / Use

/learn @aiagentwithdhruv/Skills
About this skill

Quality Score

0/100

Category

Operations

Supported Platforms

Claude Code
Claude Desktop
GitHub Copilot
Cursor

README

<div align="center">

AIwithDhruv Skills

38 production-ready AI agent skills — one command installs all of them.

Skills Compatible License skills.sh

Lead generation · Email automation · Browser automation · Video & content · Infrastructure

Built and battle-tested by Dhruv Tomar — Applied AI Engineer & AI Automation Consultant

</div>

Install

# Install all 38 skills
npx skills add aiagentwithdhruv/skills

# Install a specific skill
npx skills add aiagentwithdhruv/skills --skill scrape-leads

# Install globally (works across all your projects)
npx skills add aiagentwithdhruv/skills -g -a claude-code

Works with Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, Cline and 40+ other agents.


What's Inside

Lead Generation & Sales (8 skills)

| Skill | What it does | |-------|--------------| | scrape-leads | Scrape & verify business leads via Apify + LLM classification + Google Sheets output | | gmaps-leads | Google Maps B2B scraping with deep website enrichment & contact extraction | | classify-leads | LLM classification — SaaS vs agency, product vs service, any complex distinction | | casualize-names | Format names for cold email personalization (Bob not Robert, Acme not ACME Corp) | | create-proposal | Generate PandaDoc proposals programmatically from client data | | upwork-apply | Automate Upwork job applications with tailored proposals | | onboarding-kickoff | Post-sale client onboarding — CRM update, welcome email, kickoff message, campaign setup | | generate-report | Generate structured deliverable reports (PDF, markdown, Google Docs) |

Email & Campaigns (6 skills)

| Skill | What it does | |-------|--------------| | gmail-inbox | Manage multiple Gmail accounts with unified tooling — read, label, archive, search | | gmail-label | Auto-label and organize Gmail at scale with rule-based classification | | instantly-campaigns | Create cold email campaigns in Instantly with A/B variants — from Google Sheet to live campaign | | instantly-autoreply | AI-powered auto-replies for cold email inboxes | | welcome-email | Welcome email sequences for new leads or customers | | send-telegram | Send Telegram messages, alerts, and notifications programmatically |

Content & Video (9 skills)

| Skill | What it does | |-------|--------------| | video-edit | Full toolkit — silence removal, auto-captions, vertical crop, YouTube clipping, compression | | image-to-video | Animate images with AI — Kling 3.0, Hailuo, Luma Ray3, Runway Gen-4.5, and 8 more | | youtube-outliers | Monitor YouTube competitors and track viral videos in any niche | | cross-niche-outliers | Find viral videos from adjacent niches to extract content hooks | | title-variants | Generate YouTube title variants from outlier analysis — bulk output to Google Sheets | | thumbnail-generator | AI image prompt generator for YouTube thumbnails, LinkedIn posts, course banners | | recreate-thumbnails | Face-swap thumbnails with AI — adapt any viral thumbnail to your face | | pan-3d-transition | 3D parallax transitions for video content | | nano-banana-images | Batch AI image generation via Nano Banana API |

Browser Automation (1 skill)

| Skill | What it does | |-------|--------------| | ghost-browser | Human-like browser automation — LinkedIn posting, web scraping, job applications, demos |

See the full GitHub repo: aiagentwithdhruv/ghost-browser · 15 scripts · 3,000+ lines · anti-detection built in

Research & Community (3 skills)

| Skill | What it does | |-------|--------------| | skool-monitor | Monitor Skool community posts for lead generation opportunities | | skool-rag | Build a RAG pipeline from Skool community content | | literature-research | Deep academic and web research with synthesis and citation |

Infrastructure & Deployment (5 skills)

| Skill | What it does | |-------|--------------| | aws-production-deploy | Full AWS deployment — Docker, ECR, ECS Fargate, ALB, ElastiCache, CloudWatch, Grafana | | modal-deploy | Deploy Python services to Modal cloud in minutes | | add-webhook | Create Modal webhooks for n8n event-driven workflows | | local-server | Run a local orchestration server for development and testing | | design-website | AI-assisted website design and scaffold generation |

Diagramming & Visuals (2 skills)

| Skill | What it does | |-------|--------------| | excalidraw-diagram | Create Excalidraw diagrams from plain-English descriptions | | excalidraw-visuals | Advanced Excalidraw visuals — architecture diagrams, flowcharts, system designs |

Utilities (4 skills)

| Skill | What it does | |-------|--------------| | mac-control | Control macOS applications and system via automation | | whisper-voice | Local speech-to-text transcription with Whisper — no cloud, no cost | | skill-builder | Scaffold new skills following this library's standard format | | euron-qa | QA automation for the Euron learning platform |


How Skills Work

Each skill is a SKILL.md file with YAML frontmatter + instructions. When you install a skill, your AI agent reads the frontmatter at startup and activates the skill automatically when the task matches.

scrape-leads/
├── SKILL.md          ← Frontmatter + step-by-step instructions
└── scripts/
    ├── scrape_apify.py
    ├── classify_leads_llm.py
    ├── enrich_emails.py
    └── update_sheet.py

No config files. No build steps. No package.json. Just drop the folder in .claude/skills/ and it works.


Composition Chains

Skills are designed to chain together. Common pipelines:

# Full client onboarding
gmaps-leads → classify-leads → casualize-names → instantly-campaigns → welcome-email

# Content pipeline
cross-niche-outliers → title-variants → thumbnail-generator → video-edit

# Lead enrichment
scrape-leads → classify-leads → casualize-names

# Inbox management
gmail-inbox → gmail-label

Author

Dhruv Tomar — Applied AI Engineer & AI Automation Consultant


License

MIT — use freely, contribute back.

View on GitHub
GitHub Stars8
CategoryOperations
Updated20h ago
Forks2

Languages

Python

Security Score

85/100

Audited on Apr 8, 2026

No findings