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muhammad-anas35
GitHub creator profile

muhammad-anas35

Repository-level view of 18 collected skills across 2 GitHub repositories, including approximate occupation coverage.

skills collected
18
repositories
2
occupation fields
2
updated
2026-03-27
occupation focus
Major fields detected across this creator.
repository explorer

Repositories and representative skills

#001
AI-Employee-Gold-tier
11 skills10updated 2026-03-27
61% of creator
business-audit
会計士・監査役

Generate automated weekly business audit reports with metrics, insights, and recommendations

2026-03-27
ralph-wiggum-loop
ソフトウェア開発者

Autonomous task completion loop that continuously processes tasks from /Needs_Action without human intervention

2026-03-27
workflow-orchestrator
ソフトウェア開発者

Cross-domain workflow orchestration connecting email, social media, accounting, and file systems

2026-03-27
facebook-poster
ソフトウェア開発者

Post content to Facebook using Playwright automation with approval workflow

2026-03-27
twitter-poster
ソフトウェア開発者

Post tweets to Twitter/X using Playwright automation with approval workflow

2026-03-27
gmail-watcher
ソフトウェア開発者

Monitor Gmail inbox for important and unread emails using Gmail API. Automatically creates action files in /Needs_Action for Claude to process. Use when you need to detect and respond to important emails, create email-based workflows, or integrate email monitoring into the AI Employee system.

2026-03-26
linkedin-poster
市場調査アナリスト・マーケティングスペシャリスト

Automatically post business content to LinkedIn for sales generation and professional presence. Creates post drafts with approval workflow, scheduling support, and engagement tracking. Use when you need to maintain LinkedIn presence, share business updates, or generate leads through social media. All posts require human approval before publishing.

2026-03-26
odoo-integration
ソフトウェア開発者

Integrate with Odoo accounting system for invoice generation, expense tracking, and financial reporting

2026-03-26
Showing top 8 of 11 collected skills in this repository.
#002
Genai-book
7 skills10updated 2026-01-24
39% of creator
docusaurus-api-integrator
ウェブ開発者

Integrates the RAGAI Book Backend API into a Docusaurus site. Use when users ask to setup the API, integrate the chat widget, or configure backend connections for the Book RAG project.

2026-01-24
fetch-library-docs
ソフトウェア開発者

Fetches official documentation for external libraries and frameworks (React, Next.js, Prisma, FastAPI, Express, Tailwind, MongoDB, etc.) with 60-90% token savings via content-type filtering. Use this skill when implementing features using library APIs, debugging library-specific errors, troubleshooting configuration issues, installing or setting up frameworks, integrating third-party packages, upgrading between library versions, or looking up correct API patterns and best practices. Triggers automatically during coding work - fetch docs before writing library code to get correct patterns, not after guessing wrong.

2026-01-02
skill-creator-enhanced
ソフトウェア開発者

Creates production-grade, reusable skills that extend Claude's capabilities. This skill should be used when users want to create a new skill, improve an existing skill, or build domain-specific intelligence. Gathers context from codebase, conversation, and authentic sources before creating adaptable skills.

2026-01-02
neon-database
データベースアーキテクト

Use when working with Neon serverless PostgreSQL database. Covers database setup, CLI commands, Drizzle ORM integration, schema migrations, connection pooling, and user data storage patterns for authentication and chat history.

2025-12-03
openai-agents
ソフトウェア開発者

Use when integrating OpenAI GPT models for conversational AI. Covers chat completions, streaming responses, function calling, system prompts, token management, cost optimization, error handling, and building specialized agent personas for Physical AI tutoring.

2025-12-03
qdrant-vectordb
ソフトウェア開発者

Use when working with Qdrant vector database for semantic search and RAG. Covers collection setup, embedding generation, vector upsert/search, HNSW indexing, filtering, and integration with OpenAI embeddings for textbook content retrieval.

2025-12-03
rag-pipeline
ソフトウェア開発者

Use when building Retrieval-Augmented Generation systems. Covers document chunking, embedding generation, vector indexing, semantic search, context building, and integration of retrieval with LLM completion for accurate Q&A on Physical AI textbook content.

2025-12-03
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