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Found 3,129 Skills
Create and manage Oodle log-based metric rules — extract metrics from log streams using filter expressions and groupBy labels.
This skill should be used when the user asks to "set up oodle integration", "onboard to oodle", "integrate kubernetes with oodle", "connect AWS to oodle", "install oodle collector", or mentions setting up observability with Oodle. Discovers the environment, recommends matching integrations from available setup specs, and executes step-by-step installation. Not for querying existing metrics, logs, or traces (use /oodle-metrics-query, /oodle-logs, /oodle-traces instead).
Elastic ML anomaly detection skill — investigation/RCA, score explanation, job operations (create, datafeed, start/stop, results), and troubleshooting (missing docs, memory limits, datafeed health, lifecycle). Operates against Kibana Agent Builder MCP tools (`ad_*`) on `.ml-anomalies-*`, `.ml-config`, `.ml-notifications-*`, `.ml-annotations-*`. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit", or any request to set up or configure an ML anomaly detection job.
Decision frameworks for DatoCMS content modeling — schema shape, field choice, content reuse, taxonomies, content vs presentation, admin UI organization. Use for modeling *decisions*, not implementation: model vs block; single_block vs Modular Content vs Structured Text; references vs embedded blocks; taxonomy shape (flat/tree/faceted); refactoring page-shaped schemas to reusable content; fitting 300 KB / 500-block / 5-level record limits; model behaviour (singleton, draft mode, all_locales_required, sortable/tree/ordering_field, presentation_title_field, collection_appearance, inverse_relationships_enabled); field config (validator + appearance — enum + string_select, slug auto-fill, required_alt_title, structured_text allowlists, framed vs frameless single_block). Also schema review (reuse, editor ergonomics, omnichannel). *Creating* schema → `datocms-cli` or `datocms-cma`. Query/render → `datocms-cda` + `datocms-frontend-integrations`. Validators + cascade: `datocms-cma/references/schema.md`.
Investigate a Datadog product usage or cost spike by correlating Usage Metering data (when/what spiked) with Audit Trail config changes (who changed what in the preceding window).
Vendor-neutral skill to identify stale runbooks and recommend updates based on recent incidents and ownership gaps.
Use when setting up, troubleshooting, managing, removing, or checking the health of an Auth0 custom authentication domain (e.g. login.example.com), OR when diagnosing an error (400/403/404/409/429) from the /custom-domains Management API — especially Free-tier 403s (credit card on file, not a plan upgrade), self-managed cert 403s, PATCH-type 400s, `operation_not_supported` on `relying_party_identifier`, and 409 domain-already-exists. Handles CNAME creation in the user's DNS provider (Cloudflare, AWS Route 53, Azure DNS automated; other registrars guided), verification polling, Multiple Custom Domains (MCD), default-domain selection, TLS policy, client-IP header, per-domain passkey relying party identifier, and domain metadata.
Design, audit, and refactor production-safe agentic harnesses with provider-neutral best practices for tools, permissions, planning, context, and observability.
Add policy enforcement, zero-trust identity, and execution sandboxing to AI agents with Microsoft's Agent Governance Toolkit
Use when automating or advising on MotherDuck REST API control-plane workflows for service-account provisioning, supported access-token lifecycle operations, Duckling instance configuration, active account inspection, or Dive embed sessions. Do not use for SQL or data-plane query work.
Chinese translation of Google's Agentic Design Patterns book - 21 core AI agent patterns with examples
Adaptive multi-agent framework for automated data science tasks with planning, execution, and validation