Print a friendly greeting from the Chalk plugin marketplace, used to verify plugin installation.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Respond with a short, friendly greeting from the Chalk AI plugin marketplace.
Mention that the marketplace is private to the chalk-ai GitHub org and that this skill exists primarily to confirm the plugin loaded correctly. Keep it to one or two sentences.
chalk-aiMake Chalk Python resolvers statically accelerable. Use when the user asks to accelerate resolvers, fix static-acceleration diagnostics, check why a resolver "can't be accelerated", or speed up Python feature pipelines in a Chalk project (a repo with chalk.yaml/chalk.yml).
chalk-aiBenchmark throughput and cost-per-token of a model served on vLLM in Chalk's container infrastructure. Use when someone asks for $/token, $/request, tokens/sec, "how much would it cost to self-host this model", GPU sizing for an LLM, or wants to compare a self-hosted model's economics against a hosted API.
chalk-aiFind and debug Chalk query plan cache misses from engine logs. Use when a query is replanning on every request, an "ad-hoc query request missed the plan cache" warning shows up, latency spikes from repeated planning, or someone asks why two seemingly identical queries don't share a cached plan. Drives the chalk logs CLI search.
chalk-aiHow to deploy a chalk function ("chalkcompute.function"). Useful for deploying a stand-alone python function in Chalk's container infrastructure. Use when someone wants to run a python function remotely on Chalk, deploy a chalkcompute function, or asks about the chalkcompute SDK.
