Directorio de skills

Descubre skills reutilizables para AI agents.

Busca skills reales de GitHub por tarea y revisa stars, confianza, auditoría, categoría y ruta de instalación antes de utilizarlos.

Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.

Resultados de búsqueda: option-pricing

Directorio en inglés

AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images · by Hugo He

37K
Stars
81/100
Confianza
Categoría: agent-frameworksAuditoría

Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

10K
Stars
81/100
Confianza
Categoría: financeAuditoría

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

3.1K
Stars
80/100
Confianza
Categoría: financeAuditoría

A minimal Python project template with an installable agent skill bundle for modern uv-based workflows, designed for use with coding agents.

294
Stars
80/100
Confianza
Categoría: coding-agentsAuditoría

AI-Engineering Foundation Framework built with AI and designed for AI. Hundreds of architectural and domain decisions (multi-tenancy, RBAC, event flow, pricing, sales pipeline,CRM/ERP processes) are already made conventions and specs so agents (Cursor, Claude Code, Codex) arch. decisions without reinventing. Ship production grade with AI Agents.

1.4K
Stars
85/100
Confianza
Categoría: agent-frameworksAuditoría

A curated set of agent skills for the Venice AI API, providing SKILL.md instructions for agent runtimes like Cursor, Claude, and Codex.

122
Stars
75/100
Confianza
Categoría: utilityAuditoría

CLI tool to inject stored credentials into curl requests for AI agents interacting with public APIs.

120
Stars
71/100
Confianza
Categoría: utilityAuditoría

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

51K
Stars
83/100
Confianza
Categoría: researchAuditoría

Use when user wants to create a GitHub issue for the current repository. Must read and follow the repository's issue template format.

51K
Stars
76/100
Confianza
Categoría: coding-agentsAuditoría

Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle/service ownership, renderer hooks, React/UI conventions, and tests. Supports single-agent review with interactive fix selection or multi-agent reviewer-verifier review with risk-based auto-fix. To diagnose gaps in the skill after a review session, run `/gh-pr-review diag`.

51K
Stars
79/100
Confianza
Categoría: researchAuditoría

When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.

25K
Stars
77/100
Confianza
Categoría: design-creativeAuditoría