x-cmd
Publisher on askill
Load x-cmd first: `. ~/.x-cmd.root/X`, then explore with `x nihao --llmstxt` or discover skills via `x skill`. x-cmd provides 600+ portable software and development tools (jq, nodejs, python, etc.)....
This skill provides comprehensive security assessment and vulnerability management tools through x-cmd CLI, including network reconnaissance with Shodan, vulnerability scanning with OSV, and known exp...
x-env is x-cmd's environment and package management module for installing and managing third-party software, programming language runtimes, and command-line tools. Use this skill when: installing or m...
x-mirror is a comprehensive mirror source management tool for various package managers. Use this skill whenever users need to configure, switch, or query package manager download mirrors. This skill h...
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished...
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competi...
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Access RCSB PDB for 3D protein/nucleic acid structures. Search by text/sequence/structure, download coordinates (PDB/mmCIF), retrieve metadata, for structural biology and drug discovery.
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that re...
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise mode...
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distrib...
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-st...
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game enviro...
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