data-manager-api-setup
Guides developers through initial Data Manager API setup. Covers client library installation, local environment configuration, authentication, and access setup, leaving audience and event ingestion logic to separate skills.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Guides developers through initial Data Manager API setup. Covers client library installation, local environment configuration, authentication, and access setup, leaving audience and event ingestion logic to separate skills.
Covers v8 breaking changes in application initialization, packaging, graphics, textures, shaders, particles, and constructors. Includes removed APIs and changes to tickers, events, and display objects.
Supports paid advertising across major search, social, video, and retail platforms. Covers account intake, evidence-based audits, budgets, measurement, creative production, experiments, monitoring, and reporting, along with explicitly approved campaign changes and installation workflows.
Collects Instagram content and account data through five specialized actors. Covers posts, reels, profiles, hashtags, locations, comments, and user or follower information.
Works through PR CI failures and high- or medium-priority review feedback until actionable checks pass and feedback is addressed. The workflow does not wait for human approval, draft status, or merge gates.
Reviews submission readiness across privacy manifests, required-reason APIs, privacy labels, ATT, payments, metadata, and entitlements. Helps prepare submissions, respond to rejections, and distinguish upload blockers from cleanup.
Searches Korea Land & Housing Corporation announcement lists through k-skill-proxy. Covers youth, public rental, purchased and leased rental housing, housing sales, and newlywed housing programs, with official follow-up actions in Dolsoe.
Supports modals, dialogs, and confirmation interfaces using createModal, confirmModal, ModalHost, or base-ui modal APIs.
Reviews generated or changed production code in any language using Clean Code, SOLID, DRY, KISS, YAGNI, and LLM-specific failure checks. Targets implementation quality before presenting, committing, or merging, and can guide risky edits when explicitly invoked.
Combines curated Korean slang candidates with best-effort Namu Wiki lookups to write witty text. Applies conservative safety and freshness guardrails when using current slang.
Generates read-only MongoDB queries and aggregation pipelines using collection schemas and sample documents. Supports filtering, grouping, syntax help, and translation of SQL-like requests. Requires MongoDB MCP and excludes search operators, write pipelines, and optimization of existing queries.
Guides the creation of MCP servers with tools that let LLMs interact with external services. Covers Python with FastMCP and Node/TypeScript with the MCP SDK.
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