chalk-ai · Agent Skills

4 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

chalk-ai

Community

accelerate-python-resolvers

Make 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).

installs

3

GitHub stars

0

Updated

Sep 15

1 Files

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chalk-ai

Community

benchmark-vllm-model

Benchmark 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.

installs

3

GitHub stars

0

Updated

Sep 15

2 Files

View skill details →

chalk-ai

Community

debug-plan-cache-misses

Find 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.

installs

3

GitHub stars

0

Updated

Sep 15

1 Files

View skill details →

chalk-ai

Community

deploy-chalk-function

How 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.

installs

3

GitHub stars

0

Updated

Sep 15

1 Files

View skill details →