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Found 4,745 Skills
Guides developers in selecting and implementing multi-region patterns for CockroachDB applications, covering active-passive vs active-active architectures, REGIONAL BY ROW, GLOBAL tables, manual geo-partitioning with lease preferences, and live demo setup with validation queries. Use when designing multi-region database topologies, choosing between REGIONAL BY ROW and manual partitioning, building multi-region demos, or optimizing cross-region latency.
Manages TLS certificate and encryption key lifecycle across all tiers. Self-Hosted covers certificate expiry monitoring, node/CA/client cert rotation, and Kubernetes cert management. Advanced/BYOC covers managed TLS (no action) and CMEK (Customer-Managed Encryption Key) rotation in your KMS. Standard and Basic have fully managed TLS and encryption with no customer action. CMEK is only available on Advanced. Use when monitoring cert health, performing rotation, managing CMEK, or responding to key compromise.
Expert performance testing and optimization specialist focused on measuring, analyzing, and improving system performance across all applications and infrastructure
Expert process improvement specialist focused on analyzing, optimizing, and automating workflows across all business functions for maximum productivity and efficiency
Interactive audio specialist - Masters FMOD/Wwise integration, adaptive music systems, spatial audio, and audio performance budgeting across all game engines
End-to-end testing patterns with Playwright for full-stack Python/React applications. Use when writing E2E tests for complete user workflows (login, CRUD, navigation), critical path regression tests, or cross-browser validation. Covers test structure, page object model, selector strategy (data-testid > role > label), wait strategies, auth state reuse, test data management, and CI integration. Does NOT cover unit tests or component tests (use pytest-patterns or react-testing-patterns).
Audit the health of a PostHog project's data warehouse — find every broken or degraded pipeline item across sources, sync schemas, materialized views, batch exports, and transformations. Use when the user asks "what's broken in my warehouse?", "give me a health check", "audit my data pipeline", "why are some dashboards stale?", or wants a one-shot triage summary before deciding where to spend time. Produces a prioritized report of issues grouped by severity and type, with recommended next steps.
Audit a skill repository or installed skill collection for global consistency, lifecycle coverage, routing quality, documentation drift, memory writeback coverage, stale future-skill references, broken helper paths, and validation readiness. Use this skill whenever the user asks for a global consistency audit, skill taxonomy review, lifecycle audit, cross-skill routing audit, README or AGENTS inventory consistency check, or maintenance pass over a collection of agent skills.
Audits email domain deliverability setup (SPF, DKIM, DMARC, MX records, blacklists, TLS) and generates health score (0-100) with prioritized fix list. Checks bulk sender compliance against Google/Yahoo/Microsoft 2024-2026 requirements. Provides DNS records to add/update. Use when user asks to audit, check, or analyze email deliverability, domain health, or inbox placement.
When the user wants to develop social media strategy, plan content calendars, manage community engagement, or grow their social presence across platforms. Also use when the user mentions 'social media strategy,' 'social calendar,' 'community management,' 'social media plan,' 'grow followers,' 'engagement rate,' 'social media audit,' or 'which platforms should I use.' For writing individual social posts, see social-content. For analyzing social performance data, see social-media-analyzer.
Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions.
Evaluate Omni AI query generation accuracy by running test prompts through the Omni CLI, comparing generated query JSON against expected results, and scoring accuracy. Use this skill whenever someone wants to evaluate Omni AI, benchmark Blobby, run regression tests, compare AI output across branches or configurations, test prompt variations, measure AI quality, run A/B tests on model changes, assess impact of context changes, or any variant of "run evals", "test Blobby", "benchmark query generation", "compare AI results", "regression test", "how accurate is the AI", or "measure the impact of my changes".