juanmanueldaza/fu7ur3pr00f
AI career agent with 36 tools — gathers LinkedIn/GitHub/GitLab data, builds a RAG knowledge base, analyzes skill gaps, tracks job markets, and generates ATS-optimized CVs. Chat-first, powered by LangChain + ChromaDB.
AI career agent with 36 tools — gathers LinkedIn/GitHub/GitLab data, builds a RAG knowledge base, analyzes skill gaps, tracks job markets, and generates ATS-optimized CVs. Chat-first, powered by LangChain + ChromaDB.
npx skills add juanmanueldaza/fu7ur3pr00fAI career agent with 36 tools — gathers LinkedIn/GitHub/GitLab data, builds a RAG knowledge base, analyzes skill gaps, tracks job markets, and generates ATS-optimized CVs. Chat-first, powered by LangChain + ChromaDB.
Create, edit, replicate, import, and export draw.io diagrams with an offline YAML-first workflow. Use for general engineering and product diagrams: architecture, network topologies, flowcharts, UML/ER, org charts, Mermaid/CSV conversion, existing .drawio bundles, style presets, themes, and non-publication formula diagrams. For paper, thesis, journal, conference, IEEE/ACM, manuscript, camera-ready, or publication figures, prefer drawio-academic-skills; this base provides shared CLI, references, themes, schemas, styles, and optional Desktop export.
AI Search & GEO audit skill for Google AI Overviews, ChatGPT Search, Perplexity, Gemini & Copilot visibility analysis.
AI-agent skill for research taste, problem framing, experiments, paper storytelling, and world-model thinking
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.
AI-assisted academic conference poster generation from Overleaf source using Claude Code
Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.