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Found 1,485 Skills
This skill should be used when the user wants to refactor TypeScript code to functional patterns or write new code following functional doctrine. Common triggers include "make this functional", "remove the class", "use Result instead of throw", "stop mutating this", and "refactor to factory function". Bakes in factory functions over classes, Result<T,E> over exceptions, immutable state via spread/map/filter, and pure functions composed in pipelines. Skip when the user wants general TS hygiene (use ts-best-practices), the class wraps a stateful SDK (PrismaClient, Octokit, WebSocket), or a framework requires a class.
Debugs why session recordings aren't appearing in the local dev environment. Use when a developer reports that local replay ingestion isn't working, recordings aren't showing up despite /s calls, or the replay pipeline seems broken after hogli start. Covers the full local pipeline: SDK capture, Caddy proxy, capture-replay (Rust), Kafka, ingestion-sessionreplay (Node), recording-api (Node), SeaweedFS, and common failure modes like orphaned processes, stuck phrocs workers, and trigger misconfiguration.
Execute IDAPython via idasql. Use when SQL surfaces are insufficient and direct IDA SDK access is needed via Python snippets or scripts.
Bootstrap evaluators from production traces — emit SDK code, a framework-agnostic JSON spec, or publish online LLM-judge evaluators directly to Datadog. Use when user says "bootstrap evaluators", "generate evaluators", "create evals from traces", "eval bootstrap", "write evaluators", "build eval suite", "publish evaluators", or wants to generate BaseEvaluator/LLMJudge code or online judge configs from production LLM trace data. Works with ml_app and optional RCA report or failure hypothesis.
Uses Agent SDK to deploy 3 parallel agents for client onboarding -- workflow auditor, tech stack mapper, and strategy drafter. Real consulting workflow that produces a complete client assessment.
Use when designing, reviewing, or refactoring a CLI that must serve AI agents alongside humans, or when converting an API or SDK into an agent-usable CLI interface.
Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.
Comprehensive Flutter API reference guide covering widgets, Material Design, Cupertino, animations, gestures, navigation, state management, and platform integration. Use when developing Flutter applications and needing detailed API knowledge for widgets, layout, styling, animations, platform channels, or any Flutter SDK functionality. Essential for building cross-platform mobile, web, and desktop applications with Flutter.
Full Sentry SDK setup for PHP. Use when asked to "add Sentry to PHP", "install sentry/sentry", "setup Sentry in PHP", or configure error monitoring, tracing, profiling, logging, metrics, or crons for PHP applications. Supports plain PHP, Laravel, and Symfony.
Guides the agent through migrating Capacitor apps from discontinued Ionic Enterprise SDK plugins (Auth Connect, Identity Vault, Secure Storage) to their Capawesome alternatives (OAuth, Biometrics, Secure Preferences, SQLite). Covers dependency detection, side-by-side API mapping, code replacement, and platform-specific configuration for each plugin pair. Do not use for migrating Capacitor apps or plugins to a newer version, setting up Capawesome Cloud, or non-Capacitor mobile frameworks.
Use when a user needs to actually use or build on Zeko: bridge with Bridge CLI or Bridge SDK, get testnet funds, find the right Zeko and Mina endpoints, run GraphQL or curl queries, understand sequencer and archive-node roles, or build zkApps on Zeko with o1js or OCaml. This skill is for public user and builder workflows, especially terminal-driven and non-browser automation flows.
Implements and debugs browser Proofreader API integrations in JavaScript or TypeScript web apps. Use when adding Proofreader availability checks, monitored model downloads, proofread flows, correction metadata handling, or permissions-policy checks for built-in proofreading. Don't use for generic prompt engineering, server-side LLM SDKs, or cloud AI services.