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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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product-modeling

Product type design, attribute selection, and variant planning for Saleor. Use whenever user mentions products, variants, SKUs, attributes, catalogs, or product types. Not for YAML syntax (use configurator-schema) or CLI commands (use configurator-cli).

saleor
saleor
284

data-importer

Transforms external product data into Saleor config.yml format. Use whenever importing, migrating, or converting data from CSV, Excel, Shopify, or any external source. Not for manual config editing (use configurator-schema).

saleor
saleor
284

configurator-schema

Config.yml schema, entity structure, and validation rules. Use whenever writing, reading, or validating any part of config.yml, or when asking about YAML format, required fields, entity identification, or config validation errors. Do NOT use for general YAML questions unrelated to Saleor Configurator.

saleor
saleor
284

validating-pre-commit

Runs quality gate checks before commit or push. Use when preparing to commit, reproducing CI failures locally, or validating changes pass all checks.

Ollie Shop
Ollie Shop
284

understanding-saleor-domain

Explains Saleor e-commerce domain and Configurator business rules. Use when working with entity identification (slug vs name), YAML config structure, entity relationships, deployment pipeline stages, or synchronization logic. Do NOT use for general TypeScript questions or non-Saleor e-commerce platforms.

Ollie Shop
Ollie Shop
284

configurator-workflow

End-to-end deployment workflow for Saleor Configurator: validate, diff, plan, deploy. Use whenever deploying, syncing, or debugging store configuration, or when building automation that chains CLI commands.

saleor
saleor
284

configurator-troubleshoot

Deployment failure diagnosis for Saleor Configurator. Use whenever any CLI command fails, when analyzing error messages, exit codes, or deployment reports, or when debugging partial failures.

saleor
saleor
284

writing-graphql-operations

Creates GraphQL queries and mutations using gql.tada and urql. Use when writing operations, implementing repositories, updating schema, or testing GraphQL code.

Ollie Shop
Ollie Shop
284

agent-output-parsing

Parsing JSON envelope output from Configurator CLI commands. MUST be loaded before any agent parses CLI JSON output. Use whenever processing exit codes, JSON envelopes, drill-down workflows, or building automation around the CLI.

saleor
saleor
284

configurator-cli

CLI commands for deploying, diffing, and introspecting Saleor stores. Use this skill whenever running ANY configurator CLI command or debugging CLI output. Covers deploy, introspect, diff, validate, --plan, CI/CD setup, and CLI flags.

saleor
saleor
284

configurator-recipes

Pre-built store configuration templates for common business types. Use whenever user asks for templates, examples, starting points, or mentions fashion/electronics/subscription store setup. Not for custom product type design (use product-modeling).

saleor
saleor
284

TanStack Table

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Jeremy Dawes | Jezweb
Jeremy Dawes | Jezweb
283

uv-package-manager

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

ovachiever
ovachiever
283

uspto-database

Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.

ovachiever
ovachiever
283

using-tmux-for-interactive-commands

Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached sessions and send-keys

ovachiever
ovachiever
283

unsloth

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

ovachiever
ovachiever
283

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.

ovachiever
ovachiever
283

umap-learn

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

ovachiever
ovachiever
283

ui-design-system

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

ovachiever
ovachiever
283

typescript-mcp

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ovachiever
ovachiever
283

typescript-advanced-types

Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.

ovachiever
ovachiever
283

fine-tuning-with-trl

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

ovachiever
ovachiever
283

treatment-plans

Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.

ovachiever
ovachiever
283

transformers

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

ovachiever
ovachiever
283

torchdrug

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

ovachiever
ovachiever
283

torch-geometric

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

ovachiever
ovachiever
283

tooluniverse

Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.

ovachiever
ovachiever
283

tinacms

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ovachiever
ovachiever
283

threejs-graphics-optimizer

Performance optimization rules for THREE.js and graphics programming. Covers mobile-first optimization, fallback patterns, memory management, render loop efficiency, and general graphics best practices for smooth 60fps experiences across devices.

ovachiever
ovachiever
283

thesys-generative-ui

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ovachiever
ovachiever
283

theme-factory

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.

ovachiever
ovachiever
283

test-generator

Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.

ovachiever
ovachiever
283

tensorrt-llm

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.

ovachiever
ovachiever
283

tensorboard

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit

ovachiever
ovachiever
283

tapestry

Unified content extraction and action planning. Use when user says "tapestry <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.

ovachiever
ovachiever
283

TanStack Start

|

Jeremy Dawes | Jezweb
Jeremy Dawes | Jezweb
283

TanStack Router

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Jeremy Dawes | Jezweb
Jeremy Dawes | Jezweb
283

tanstack-query

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ovachiever
ovachiever
283

tailwind-v4-shadcn

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ovachiever
ovachiever
283

sympy

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

ovachiever
ovachiever
283

sveltia-cms

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ovachiever
ovachiever
283

stripe-integration

Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.

ovachiever
ovachiever
283

string-database

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

ovachiever
ovachiever
283

statsmodels

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.

ovachiever
ovachiever
283

statistical-analysis

Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.

ovachiever
ovachiever
283

senior-backend

Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.

ovachiever
ovachiever
283

senior-architect

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

ovachiever
ovachiever
283

security-auditor

Continuous security vulnerability scanning for OWASP Top 10, common vulnerabilities, and insecure patterns. Use when reviewing code, before deployments, or on file changes. Scans for SQL injection, XSS, secrets exposure, auth issues. Triggers on file changes, security mentions, deployment prep.

ovachiever
ovachiever
283

secret-scanner

Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.

ovachiever
ovachiever
283

seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

ovachiever
ovachiever
283

Page 886 of 1703 · 85105 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.