Topic: ai-agents
18,135 skills in this topic.
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cost-aware-llm-pipeline
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
x-cmd/skill 19
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api-design
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
x-cmd/skill 19
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django-security
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
x-cmd/skill 19
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gddy
GoDaddy domain management tool. Core Scenario: When AI needs to check domain availability, list owned domains, or update DNS records.
x-cmd/skill 19
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python-patterns
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
x-cmd/skill 19
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path
Manage the system PATH variable with subcommands for adding, removing, and deduplicating directories. Core Scenario: When the user needs to modify their environment's search path or clean up duplicate entries.
x-cmd/skill 19
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sleep
Pause execution for human-readable durations or schedule periodic tasks. Core Scenario: When the user needs to delay scripts, create timers (beacons), or schedule repeating commands.
x-cmd/skill 19
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jina
Jina AI enhancement tool: Web parsing, search, and reranking. Core Scenario: When AI needs to read a URL's content, perform real-time web searches, or rank text segments by semantic relevance.
x-cmd/skill 19
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chatgpt-apps
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.
x-cmd/skill 19
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ollama
CLI client for Ollama, the open-source framework for local LLM deployment. Core Scenario: When the user wants to pull, manage, or run local AI models (Llama 3, Mistral, etc.) via Ollama.
x-cmd/skill 19
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route
Display the system's network routing table with support for structured data export. Core Scenario: When the user needs to inspect the routing table for network path diagnostics.
x-cmd/skill 19
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cht
CLI client for cheat.sh, providing concise "cheat sheets" and code snippets for developers. Core Scenario: When the user needs short, practical examples for programming languages or CLI tools.
x-cmd/skill 19
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ip
Network diagnostics and IP geolocation query. Core Scenario: When AI needs to query local network configuration or geographic info of remote server IPs.
x-cmd/skill 19
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web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
x-cmd/skill 19
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qiskit
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
x-cmd/skill 19
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paper-2-web
This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.
x-cmd/skill 19
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cd
Enhanced cd command with history navigation, fuzzy search, and directory aliases. Core Scenario: When the user needs to quickly jump between historical paths or search for subdirectories using keywords.
x-cmd/skill 19
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scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
x-cmd/skill 19
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dask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
x-cmd/skill 19
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markitdown
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
x-cmd/skill 19
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ll
Search and list information about files, archives, and operating system resources using fzf. Core Scenario: When the user needs an interactive way to explore file metadata or system resource summaries.
x-cmd/skill 19
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scholar-evaluation
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.
x-cmd/skill 19
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uniprot-database
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
x-cmd/skill 19
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gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
x-cmd/skill 19