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Agent skill

Coreweave Local Dev Loop

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Set up local development workflow for CoreWeave GPU deployments.

MITAuto-check: notesAI & LLM Engineering

Install Coreweave Local Dev Loop

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-local-dev-loop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace coreweave-local-dev-loop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/coreweave-local-dev-loop .claude/skills/coreweave-local-dev-loop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
coreweave-local-dev-loop
GitHub stars
2.8k
Token cost
~927 tokens
SKILL.md length
210 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Set up local development workflow for CoreWeave GPU deployments.

  • Works in 4 steps: Project Structure → Build and Push Container → Validate Manifests Before Deploy → …
  • Building containers locally
  • SKILL.md covers Overview, Prerequisites, Instructions and Error Handling, plus 4 more sections
  • Calls kubectl and docker

What it does

Coreweave Local Dev Loop is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up local development workflow for CoreWeave GPU deployments. Use when building containers locally, testing YAML manifests, or iterating on model serving configurations before deploying. Trigger with phrases like "coreweave dev setup", "coreweave local testing", "develop for coreweave", "coreweave container build".

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in AI & LLM Engineering, covering Deployment and LLM inference and serving. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Building containers locally
  • Testing YAML manifests
  • Iterating on model serving configurations before deploying
  • With phrases like coreweave dev setup

Example prompts

  • “coreweave dev setup”
  • “coreweave local testing”
  • “develop for coreweave”
  • “/coreweave-local-dev-loop”

Requirements

  • Docker
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(kubectl:*), Bash(docker:*), Grep

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Project Structure
  2. Build and Push Container
  3. Validate Manifests Before Deploy
  4. Deploy and Watch

What it can do on your machine

Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(kubectl:*)
    • Bash(docker:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • kubectl
    • docker

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.coreweave.com
    • kubernetes.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Coreweave Local Dev Loop loads about 927 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 210 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~927

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:57
    ├── .env.local

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 210 words, ~927 tokens.

Download SKILL.mdSave it as .claude/skills/coreweave-local-dev-loop/SKILL.md (or your agent's skills folder).
name
coreweave-local-dev-loop
description
Set up local development workflow for CoreWeave GPU deployments. Use when building containers locally, testing YAML manifests, or iterating on model serving configurations before deploying. Trigger with phrases like "coreweave dev setup", "coreweave local testing", "develop for coreweave", "coreweave container build".
allowed-tools
Read, Write, Edit, Bash(kubectl:*), Bash(docker:*), Grep
compatibility
Designed for Claude Code
version
1.11.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, gpu-cloud, kubernetes, inference, coreweave

CoreWeave Local Dev Loop

Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.

Overview

Local development workflow for CoreWeave: build containers, test YAML manifests with dry-run, push to registry, and deploy to CoreWeave CKS.

Prerequisites

  • Completed coreweave-install-auth setup
  • Docker installed locally
  • Container registry access (Docker Hub, GHCR, or CoreWeave registry)

Instructions

Step 1: Project Structure
my-inference-service/
├── Dockerfile
├── src/
│   ├── server.py          # Inference server code
│   └── model_config.py    # Model configuration
├── k8s/
│   ├── deployment.yaml    # GPU deployment manifest
│   ├── service.yaml       # Service and ingress
│   └── hpa.yaml           # Horizontal pod autoscaler
├── scripts/
│   ├── build.sh           # Build and push container
│   └── deploy.sh          # Deploy to CoreWeave
├── .env.local
└── Makefile
Step 2: Build and Push Container
bash
# Build locally
docker build -t my-inference:latest .

# Tag for registry
docker tag my-inference:latest ghcr.io/myorg/my-inference:v1.0.0

# Push
docker push ghcr.io/myorg/my-inference:v1.0.0
Step 3: Validate Manifests Before Deploy
bash
# Dry-run against CoreWeave cluster
kubectl apply -f k8s/deployment.yaml --dry-run=server

# Diff against current state
kubectl diff -f k8s/deployment.yaml

# Check resource requests match available GPU types
kubectl get nodes -l gpu.nvidia.com/class=A100_PCIE_80GB --no-headers | wc -l
Step 4: Deploy and Watch
bash
kubectl apply -f k8s/
kubectl rollout status deployment/my-inference
kubectl logs -f deployment/my-inference

Error Handling

ErrorCauseSolution
Image pull backoffWrong registry or no pull secretCreate imagePullSecret
CUDA mismatchDriver vs container versionMatch CUDA version to node drivers
Dry-run failsInvalid manifestFix YAML syntax

Output

  • A locally built, versioned image and a server-validated deployment manifest.
  • A staging rollout receipt with readiness and bounded log evidence.
  • A repeatable local-to-cluster loop that leaves production credentials and data out of the workspace.

Examples

Use the staging namespace for the complete loop and inspect the diff before apply:

bash
docker build -t ghcr.io/myorg/my-inference:dev-20260826 .
kubectl -n inference-staging diff -f k8s/deployment.yaml
kubectl -n inference-staging apply --dry-run=server -f k8s/
kubectl -n inference-staging apply -f k8s/

If the server dry-run fails, correct the manifest before pushing an image or changing GPU quota. Do not point local development at production namespaces or copy kubeconfigs between environments.

Resources

Next Steps

See coreweave-sdk-patterns for inference client patterns.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/coreweave-local-dev-loop of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit 80f86df

Compare with similar skills

Coreweave Local Dev Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Coreweave Local Dev Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Coreweave Local Dev Loop this skilljeremylongshore/tons-of-skills-marketplace2.8k—~927Automated safety check: NotesMIT
SageMaker Serving Image Selectionhuggingface/skills11k1 repos~4.6kAutomated safety check: PassApache-2.0
vLLM Model ServingOrchestra-Research/AI-Research-SKILLs13k5 repos~2.3kAutomated safety check: PassMIT
SageMaker Deployment Plannerhuggingface/skills11k1 repos~2.1kAutomated safety check: PassApache-2.0
SageMaker Production Defaultshuggingface/skills11k1 repos~6.9kAutomated safety check: PassApache-2.0
Nemotron Nano3NVIDIA-NeMo/Nemotron2.1k—~1.9kAutomated safety check: PassApache-2.0

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Categories

Questions about Coreweave Local Dev Loop

What does Coreweave Local Dev Loop do?

Set up local development workflow for CoreWeave GPU deployments. Coreweave Local Dev Loop is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up local development workflow for CoreWeave GPU deployments.

When should I use Coreweave Local Dev Loop?

Coreweave Local Dev Loop fits situations like: building containers locally; testing YAML manifests; iterating on model serving configurations before deploying; with phrases like coreweave dev setup.

How do I install Coreweave Local Dev Loop in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-local-dev-loop -a claude-code`. Or copy the skill folder (skills/.curated/coreweave-local-dev-loop in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/coreweave-local-dev-loop in your project. Claude Code loads it when a task matches its description.

How do I install Coreweave Local Dev Loop in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-local-dev-loop -a codex`. Or copy the skill folder (skills/.curated/coreweave-local-dev-loop in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/coreweave-local-dev-loop in your project. Codex loads it when a task matches its description.

Can I use Coreweave Local Dev Loop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-local-dev-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/coreweave-local-dev-loop, .gemini/skills/coreweave-local-dev-loop, .github/skills/coreweave-local-dev-loop and .opencode/skills/coreweave-local-dev-loop in your project.

What does Coreweave Local Dev Loop need to run?

Going by SKILL.md and its folder, Coreweave Local Dev Loop needs the command-line tools its instructions call (kubectl and docker). Our summary lists: Docker. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(kubectl:*), Bash(docker:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Coreweave Local Dev Loop access the network?

SKILL.md names 2 domains. As links in the text: docs.coreweave.com and kubernetes.io. This is read from the text; nothing was executed.

Is Coreweave Local Dev Loop safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Coreweave Local Dev Loop use?

Coreweave Local Dev Loop is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Coreweave Local Dev Loop use?

About 927 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Coreweave Local Dev Loop?

Skills that share tags, products or a category with Coreweave Local Dev Loop: SageMaker Serving Image Selection (huggingface/skills, 11k stars), vLLM Model Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Deployment Planner (huggingface/skills, 11k stars) and SageMaker Production Defaults (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Coreweave Local Dev Loop?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.