Add, update, or remove text/image/video/audio/embeddings models. Covers the full lifecycle: files to touch, what to verify, and how to test empirically before merging.
Detect and analyze abusive accounts on Pollinations. IP clustering, multi-signal scoring, ban recommendations. Use when investigating abuse, bot farms, or suspicious usage patterns.
Debug and diagnose model errors in Pollinations services. Analyze logs, find error patterns, identify affected users. For taking action on user tiers, see tier-management skill.
Query billing, usage, credits, and resource deployments across all our cloud and SaaS providers (Azure, AWS, Cloudflare, GCP, Tinybird, Vercel, Stripe, Polar, etc.) via their native CLIs and APIs. Use for any question about provider costs, spend by service/day/month, credit eligibility, invoice totals, which resources are running, or how to deploy/inspect resources. Each provider has a dedicated playbook under `providers/`.
Analyze Pollinations revenue, pack purchases, and tier spending patterns. Query Polar for payment history and Tinybird for usage data.
Deploy Tinybird pipes and datasources for enter.pollinations.ai observability. Validates and pushes changes to Tinybird Cloud.
Generate images, text, audio, video, and transcribe speech via the Pollinations API using the polli CLI. Use when asked to generate media, call pollinations.ai, check pollen balance, list models, manage API keys, or run polli commands.
Sync the main branch into production via the GitHub merges API. Pre-checks for merge conflicts and bails out with a clear reason if the merge isn't clean. Use when asked to merge main into production, deploy main to production, or sync production.