Areno Debug Runtime
inclusionAI/AReno
Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno.
Optimize CoreWeave GPU cloud costs with right-sizing and scheduling.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace coreweave-cost-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-cost-tuning .claude/skills/coreweave-cost-tuning && rm -rf skills-srcUse ~/.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/
Install the "coreweave-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/coreweave-cost-tuning into .claude/skills/coreweave-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coreweave-cost-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/coreweave-cost-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace coreweave-cost-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/coreweave-cost-tuning .agents/skills/coreweave-cost-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "coreweave-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/coreweave-cost-tuning into .agents/skills/coreweave-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coreweave-cost-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace coreweave-cost-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/coreweave-cost-tuning .cursor/skills/coreweave-cost-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "coreweave-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/coreweave-cost-tuning into .cursor/skills/coreweave-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coreweave-cost-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/coreweave-cost-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace coreweave-cost-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/coreweave-cost-tuning .gemini/skills/coreweave-cost-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "coreweave-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/coreweave-cost-tuning into .gemini/skills/coreweave-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coreweave-cost-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace coreweave-cost-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/coreweave-cost-tuning .github/skills/coreweave-cost-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "coreweave-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/coreweave-cost-tuning into .github/skills/coreweave-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coreweave-cost-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace coreweave-cost-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/coreweave-cost-tuning .opencode/skills/coreweave-cost-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "coreweave-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/coreweave-cost-tuning into .opencode/skills/coreweave-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coreweave-cost-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
coreweave-cost-tuningOptimize CoreWeave GPU cloud costs with right-sizing and scheduling.
Coreweave Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize CoreWeave GPU cloud costs with right-sizing and scheduling. Use when reducing GPU spend, selecting cost-effective instances, or implementing scale-to-zero for dev workloads. Trigger with phrases like "coreweave cost", "coreweave pricing", "reduce coreweave spend", "coreweave budget".
Its SKILL.md is about 1.3k 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 GPU and accelerator computing. 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.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(kubectl:*)GrepFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
kubectlFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
coreweave.comdocs.coreweave.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Coreweave Cost Tuning loads about 1.3k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 446 words of instructions outside code blocks.
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.
The automated check found no risky patterns in SKILL.md.
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.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 446 words, ~1,251 tokens.
.claude/skills/coreweave-cost-tuning/SKILL.md (or your agent's skills folder).Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.
Reduce GPU spend by matching a workload's memory, throughput, availability, and latency requirements to the smallest approved capacity. Cost changes must preserve the service SLO and retain a measured rollback path; approximate public prices are planning inputs, not a billing source of truth.
| GPU | Per GPU/hour | Best For |
|---|---|---|
| A100 40GB PCIe | ~$1.50 | Development, smaller models |
| A100 80GB PCIe | ~$2.21 | Production inference |
| H100 80GB PCIe | ~$4.76 | High-throughput inference |
| H100 SXM5 (8x) | ~$6.15/GPU | Training, multi-GPU |
| L40 | ~$1.10 | Image generation, light inference |
autoscaling.knative.dev/minScale: "0"
autoscaling.knative.dev/scaleDownDelay: "5m"def recommend_gpu(model_size_b: float, inference_only: bool = True) -> str:
if model_size_b <= 7:
return "L40" if inference_only else "A100_PCIE_80GB"
elif model_size_b <= 13:
return "A100_PCIE_80GB"
elif model_size_b <= 70:
return "A100_PCIE_80GB (4x tensor parallel)"
else:
return "H100_SXM5 (8x tensor parallel)"Use AWQ or GPTQ quantization to fit larger models on smaller GPUs:
# 70B model at 4-bit fits on single A100-80GB instead of 4x
vllm serve meta-llama/Llama-3.1-70B-Instruct-AWQ --quantization awq| Condition | Likely cause | Safe response |
|---|---|---|
| Latency rises after downsizing | Insufficient GPU capacity or queueing | Restore the previous resource request and investigate with the service owner. |
| Cost data is incomplete | Labels or billing export are missing | Stop the optimization; repair allocation labels before making a pricing decision. |
| Quantized canary loses quality | Model or quantization setting is unsuitable | Route traffic back to the baseline model and retain the evaluation result. |
| Scale-to-zero causes cold-start failures | Delay or startup budget is too small | Restore minimum replicas for the affected service and tune in a non-production lane. |
Run an approved staging canary with an explicit resource limit, then compare it to the baseline before touching production:
kubectl -n inference-staging patch deployment summarizer \
--type merge -p '{"spec":{"template":{"spec":{"containers":[{"name":"server","resources":{"limits":{"nvidia.com/gpu":1}}}]}}}}'
kubectl -n inference-staging rollout status deployment/summarizer --timeout=10mIf p95 latency, error rate, or evaluation quality crosses the signed threshold, restore the prior manifest and attach the redacted measurements to the change record.
For architecture patterns, see coreweave-reference-architecture.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/.curated/coreweave-cost-tuning of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Coreweave Cost Tuning 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Coreweave Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Areno Debug RuntimeinclusionAI/AReno | 323 | — | ~486 | Automated safety check: Pass | Apache-2.0 | |
| Megatron-LM on SLURMNVIDIA/Megatron-LM | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Dynamo Interconnect CheckNVIDIA/skills | 3.6k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Lambda LabsLuciole-Studio/Misaka-Agent | 171 | 1 repos | ~3k | Automated safety check: Warn | MIT | |
| DGX Spark Memory and Thermal Opswshobson/agents | 40k | — | ~2k | Automated safety check: Pass | MIT |
inclusionAI/AReno
Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno.
NVIDIA/Megatron-LM
Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis.
NVIDIA/skills
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink.
Luciole-Studio/Misaka-Agent
On-demand GPU cloud instances for ML training. An agent skill from Luciole-Studio/Misaka-Agent.
wshobson/agents
Plans memory headroom, works through out-of-memory failures and watches temperature and power during long ML training jobs on NVIDIA DGX Spark.
Orchestra-Research/AI-Research-SKILLs
Runs ML training and batch jobs across clouds with SkyPilot, using spot instances, automatic region selection and managed recovery to cut GPU cost.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Categories
Optimize CoreWeave GPU cloud costs with right-sizing and scheduling. Coreweave Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize CoreWeave GPU cloud costs with right-sizing and scheduling.
Coreweave Cost Tuning fits situations like: reducing GPU spend; selecting cost-effective instances; implementing scale-to-zero for dev workloads; with phrases like coreweave cost.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/coreweave-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/coreweave-cost-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill coreweave-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/coreweave-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/coreweave-cost-tuning in your project. Codex loads it when a task matches its description.
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-cost-tuning -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-cost-tuning, .gemini/skills/coreweave-cost-tuning, .github/skills/coreweave-cost-tuning and .opencode/skills/coreweave-cost-tuning in your project.
Going by SKILL.md and its folder, Coreweave Cost Tuning needs the command-line tools its instructions call (kubectl). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(kubectl:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 2 domains. As links in the text: coreweave.com and docs.coreweave.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Coreweave Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Coreweave Cost Tuning: Areno Debug Runtime (inclusionAI/AReno, 323 stars), Megatron-LM on SLURM (NVIDIA/Megatron-LM, 18k stars), Dynamo Interconnect Check (NVIDIA/skills, 3.6k stars) and Lambda Labs (Luciole-Studio/Misaka-Agent, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 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.