Collecting X posts across profiles, topics, and dates requires consistent search parameters and API handling. This skill provides Apify request examples and client integration guidance.

TikTok research requires different requests for posts, profiles, comments, and location feeds. This skill documents four Apify actors and reusable API workflows for preparing those requests.

Instagram collection tasks require different actors and request formats for each data type. This skill provides Apify actor selection, configurable request examples, and dataset retrieval guidance.

Starting an Angular project requires many setup decisions and repeated CLI steps. This skill guides consistent scaffolding, generation, builds, AI configuration, and Tailwind setup.

AI agents often need many separate integrations for external services. This skill routes discovery, authentication, execution, and auditing through Aident Loadout.

Angular projects require version-aware patterns across components, state, forms, routing, testing, and tooling. This skill applies focused Angular guidance and verifies generated work.

Large novel collections often contain mixed encodings, inconsistent chapters, and damaged formatting. This skill provides a staged local workflow for conversion, cleanup, classification, and validation.

Small inconsistencies in motion, surfaces, and icons can make an interface feel unfinished. This skill provides concrete rules and values for focused improvements.

AI work can appear complete before the result is opened, tested, or checked against the request. This skill adds staged planning, real-environment verification, and honest completion levels.

Connecting external identity and payment providers to InsForge requires careful token, database, and protocol setup. This skill provides provider-specific implementation and verification guidance.

HyperFrames projects can become difficult to edit when scenes and media create unlabeled timeline rows. This skill defines track grouping, scene composition, caption placement, and safe-zone rules for Studio.

Convex applications need reliable coverage for data access, authentication, errors, and scheduled work. This skill guides you through focused Vitest tests against an in-memory backend.

Production failures can be difficult to collect and investigate without exposing sensitive data. This skill guides Sentinel setup, redaction, monitoring, and optional automated triage.

Production errors often produce uncertain fixes that stop before verification. This skill triages defects, prepares certified changes, and keeps merging under human control.

Existing Convex applications can accumulate security, scaling, dependency, and observability gaps. This skill creates a prioritized plan and applies approved improvements.

Convex teams need a reliable way to react to the next important development or production event. This skill waits for typed events and directs the response.

Production schema migrations can fail when existing documents do not match new validators. This skill rehearses the migration on snapshot-seeded preview data before promotion.

Convex incidents can be difficult to explain from large log streams and health events. This skill produces focused findings with evidence and verification links.

Convex onboarding problems can remain hidden inside coding-session transcripts. This skill submits an approved transcript for analysis and summarizes actionable system improvements.

Understanding an unfamiliar Convex application requires connecting schemas, functions, authentication, and integrations. This skill produces a structured, source-grounded architecture map without modifying the application.