Workflows
6 recipes, filter by use case, license, or difficulty.
Wire the DeepWiki MCP into your agent so it looks up repos instead of hallucinating
Give your coding agent the DeepWiki MCP server so it can pull real context about an unfamiliar dependency mid-task, and validate the client config declares the three documented tools before you trust it.
Swap to a cheap image model, but guard the cases it loses
Default image generation to a cheap model for general scenes, while proving the cases the premium model dominates (text in the frame, charts, precise layout) are still routed to it, so the swap saves money without quietly degrading the work that has words in it.
Pick a model with evidence: a GitHub Models bake-off that fits the free cap
Run the few prompts that actually matter across several models on GitHub Models' free tier, then keep the winner, with the daily call budget proven to fit before you start.
Let a free model triage your reading: one-line summary + reply flag
Point any OpenAI-compatible tool at an OpenRouter free model so each email/article/report comes back as a one-sentence summary plus a needs-reply flag, and you only open what earns it.
Sakana Fugu: A/B it on your own task before you migrate
Point an OpenAI-compatible client at the Fugu endpoint and compare it to a single strong model on one hard task you already know the answer to, instead of trusting a benchmark chart.
Claude Code /loop: Poll a Deploy on a Fixed Interval
Re-fire a prompt on a valid cron interval inside a live Claude Code session.