Platform Agentsetup Categories Fetch

Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Handles snapshot selection or creation, IAM role setup, KMS encryption, S3 bucket preparation, export task execution, progress monitoring, and data verification. Use when exporting RDS/Aurora data to S3 for Athena, Glue, or Redshift Spectrum consumption.

Runs DevOps Center test suites on a pipeline stage (Pre-Promote, Post-Promote, or Review event) end to end: triggers async execution via the Connect API after an explicit confirmation gate, then polls by runId at provider-specific intervals until it completes, fails, or times out, and hands results to failure analysis. Also retriggers a quality gate after fixes, but only once coverage meets the threshold. Use this skill when a user wants to run, kick off, or launch test suites on a stage, re-run a quality gate, or watch an in-progress run to completion. TRIGGER when: the user wants to run/launch suites on a stage, execute tests before or after promotion, re-run a quality gate after fixing failures, unblock a blocked promotion after adding tests, or poll/watch an in-progress run. DO NOT TRIGGER when: running sf apex run test directly (use platform-apex-test-run), or configuring a NEW gate or threshold (use dx-devops-test-pipeline-configure).

Recommends and manages DevOps Center test suite assignments for pipeline stages. Mode A analyzes a commit diff against assigned suite metadata to recommend relevant existing suites and flag coverage gaps (pure reasoning). Modes B-D assign a single suite, bulk-map multiple suites with a mandatory impact preview, or add/remove test classes with governance rules, via the testSuiteStages Connect API. Use this skill to recommend suites for a commit, assign or map suites to stages, or add/remove tests in a suite. TRIGGER when: the user asks which suites to run for a commit/diff or what covers their changes; a suite is unlinked and the user wants it assigned; the user wants to configure suite-to-stage mappings, assign multiple suites, or add/remove/sync tests in a suite. DO NOT TRIGGER when: configuring or syncing a test provider (use dx-devops-test-pipeline-configure), running suites (use dx-devops-test-suite-run), or authoring/running tests directly (use platform-apex-test-generate or platf

Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

Interact with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to DeerFlow threads, or delegate complex research tasks to DeerFlow. Also use when the user mentions deerflow, deer flow, or wants to run a deep research task that DeerFlow can handle.

Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.