Agent skills

Fetches and analyzes newly listed bestselling product rankings on TikTok Shop via the FastMoss Wenmai standard API.

Retrieves comprehensive TikTok Shop product overview metrics and transaction source analytics via the FastMoss API.

Searches and analyzes TikTok Shop products by keywords and price ranges using FastMoss data via the Wenmai standard API.

Analyzes TikTok Shop transaction breakdowns across short videos, livestreams, and product showcase cards via FastMoss standard APIs.

Queries and analyzes TikTok Shop product SKU-level sales, inventory shares, and variant performance data via the FastMoss Wenmai API.

Retrieves and analyzes TikTok Shop top-selling product leaderboards and sales velocity metrics via the FastMoss API.

Retrieves real-time TikTok Shop creator leaderboards to track the fastest-growing influencers and follower trends via FastMoss data.

Retrieves and analyzes single-video playback and interaction trends from FastMoss for TikTok Shop e-commerce intelligence.

Use for customer search, member profiles, tags, tiers, loyalty, segments, onboarding, retention, and customer 360 summaries in FavCRM.

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use…

Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one.

This skill should be used when user asks to "query Supabase", "list Supabase tables", "get Supabase schema", "search Supabase records", or…

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for…

Answer FDA regulatory-intelligence questions with official data instead of model memory — facility inspection history and 483 cited…

Enumerate every observable entry point of the application from P1+P2 evidence, group them into feature candidates, and scaffold a…

Interactive feature design process from rough idea to implementation-ready spec.

Use when a feature specification already exists and the user wants it built: "implement what-to-build.md", "build this feature", "now…

When to activate: feature engineering, feature selection, encoding, feature store, Feast, target encoding, scaling, time-series features

Use when you have run 3+ feature engineering experiments with no improvement, or when distance to theoretical upper bound is <15pp.

Write a feature flag management guide and lifecycle playbook for a service or team — covering flag taxonomy, creation checklist, rollout…

Gradual rollout strategies, kill switches, A/B testing integration, flag lifecycle management, and technical debt prevention.