Agent Skills: amazon-buy-box-monitor-api-skill
This skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.
ID: aiskillstore/marketplace/amazon-buy-box-monitor-api-skill
42745
Install this agent skill to your local
Skill Files
The files that make up amazon-buy-box-monitor-api-skill.
More agent skills
- songseeGenerate spectrograms and feature-panel visualizations from audio with the songsee CLI.
- managing-experiment-lifecycleGuides experiment state transitions: launching, pausing, resuming, freezing/unfreezing exposure, ending, shipping variants, archiving, resetting, duplicating, copying to another project, and migrating a legacy experiment to the new experiments engine. Covers preconditions, implications for variant assignment and analysis, and the decision framework for when to use each action.\nTRIGGER when: user asks to launch, pause, resume, end, ship, archive, reset, duplicate, or copy an experiment to another project, to freeze/unfreeze exposure (stop enrolling new users while metrics keep flowing, or reopen enrollment), or to migrate, convert, move or upgrade a legacy experiment to the new engine or the new metric format.\nDO NOT TRIGGER when: user is creating an experiment (use creating-experiments), configuring rollout (use configuring-experiment-rollout), or setting up metrics (use configuring-experiment-analytics).
- spec-driven-testsRebuild a package's unit test suite around a behavior specification (SPEC.md) derived from the implementation, with every test citing a numbered rule ID. Use when asked to do a spec-driven test rebuild, write a SPEC.md for a package, repeat the state or store spec process (PRs #9158, #9172) for another package, or rebuild tests around a spec.
- north-star-metricsHelp users define, validate, and operationalize a North Star Metric that bridges the gap between customer value and business success while driving team alignment.
- continuous-learning[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos, con alcance de proyecto y hooks confiables. No invocar v1; dirigir solicitudes de aprendizaje continuo, aprendizaje de sesión y extracción de patrones a continuous-learning-v2.
- codexbarAI service usage/quota via CodexBar CLI: Codex/OpenAI, Claude, Kimi and other provider limits, credits, reset times.