model-management
Add, update, or remove text/image/video models. Handles any provider.
Best use case
model-management is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Add, update, or remove text/image/video models. Handles any provider.
Teams using model-management should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/model-management/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How model-management Compares
| Feature / Agent | model-management | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Add, update, or remove text/image/video models. Handles any provider.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agent for YouTube Script Writing
Find AI agent skills for YouTube script writing, video research, content outlining, and repeatable channel production workflows.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
SKILL.md Source
# Checklist 1. Update `.env` and `secrets/env.json` (sops) with credentials 2. Update config/handler with model routing 3. Update registry with **pricing** and **provider** 4. Run tests (see [Testing](#testing) below) > ⚠️ **Pricing depends on BOTH model AND provider.** Always verify pricing on the provider's website. --- # Files to Update ## Text Models | File | Purpose | |------|---------| | `text.pollinations.ai/.env` | API keys, endpoints | | `text.pollinations.ai/secrets/env.json` | Encrypted secrets (use sops) | | `text.pollinations.ai/configs/modelConfigs.ts` | Model routing config | | `text.pollinations.ai/availableModels.ts` | Service name → config mapping | | `shared/registry/text.ts` | **Pricing**, provider, aliases, description | ## Image/Video Models | File | Purpose | |------|---------| | `image.pollinations.ai/.env` | API keys, endpoints | | `image.pollinations.ai/secrets/env.json` | Encrypted secrets (use sops) | | `image.pollinations.ai/src/createAndReturnImages.ts` | Model handlers | | `shared/registry/image.ts` | **Pricing**, provider, aliases, description | --- # Quick Actions | Action | `.env` | Config/Handler | Registry | |--------|--------|----------------|----------| | New model | ✅ | ✅ | ✅ (pricing!) | | Change endpoint only | ✅ | - | - | | Change provider | ✅ | ✅ | ✅ (pricing!) | | Make paid-only | - | - | ✅ (`paidOnly: true`) | | Disable model | - | ✅ (remove) | ✅ (remove) | | Upgrade model | ✅ (if provider changes) | ✅ | ✅ (pricing!) | --- # Testing After updating model files, run these tests from `enter.pollinations.ai/`: ```bash # 1. Alias resolution (fast, no network) — verifies aliases map to service IDs npx vitest run test/aliases.test.ts # 2. Integration tests for the specific model (uses VCR snapshots) npx vitest run test/integration/text.test.ts --testNamePattern="<service-name> " ``` **Notes:** - VCR snapshots are auto-recorded on first run if the EC2 text service is reachable - Run `npm run decrypt-vars` first if you haven't already --- # Secrets (sops) ```bash sops -d <service>/secrets/env.json > /tmp/plain.json # Edit with jq or manually cp /tmp/plain.json <service>/secrets/env.json sops -e -i <service>/secrets/env.json rm /tmp/plain.json ```
Related Skills
tier-management
Evaluate and update Pollinations user tiers. Check balances, upgrade devs, batch process users. For finding users with errors, see model-debugging skill first.
test-model
Test any model (text, image, video, audio) locally and via enter integration tests
model-debugging
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.
monitor-services
Health check and auto-restart all Pollinations GPU services (Flux/Z-Image on RunPod, LTX-2 on GH200, Klein on RunPod, legacy image on OVH, Sana on Vast.ai). Use with /loop for recurring checks.
founder-meditation
When something goes wrong — build failures, crashes, errors, test failures, deployment issues — generate a short calming meditation with TTS audio to reassure the user that everything will be okay.
web-research
Query Pollinations text API with web-search models (gemini-search, perplexity-fast, nomnom, etc.). Use when you need web search grounded answers via Pollinations.
voting-status
Create and post ASCII art voting status diagrams to GitHub issues and Discord. Use when asked to update voting, show voting results, or announce voting status.
tinybird-deploy
Deploy Tinybird pipes and datasources for enter.pollinations.ai observability. Validates and pushes changes to Tinybird Cloud.
spending-analysis
Analyze Pollinations revenue, pack purchases, and tier spending patterns. Query Polar for payment history and Tinybird for usage data.
r2-glacier-migration
Monitor and manage R2 to AWS Glacier Deep Archive migration. Use when checking transfer status, resuming transfers, or managing the archive migration.
issue-maker
Create GitHub issues following Pollinations team conventions. Use when asked to create issues, track work, or plan features.
enter-services
Deploy and manage enter.pollinations.ai text/image services on EC2 and Cloudflare Workers. Requires: SSH keys, sops, wrangler.