Neon Functions
neondatabase/agent-skills
Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASEURL injected automatically and compute that runs next to your data.
Operate GPU and remote compute across RunPod (Pods and Serverless), Massed Compute VMs, and owned or virtual remote servers through existing bridges, SSH sessions, MCP/API adapters, bounded polling…
$ npx skills add AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AnastasiyaW/codex-claude-code-config remote-compute-ops --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/AnastasiyaW/codex-claude-code-config.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/operational/remote-compute-ops .claude/skills/remote-compute-ops && 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 "remote-compute-ops" agent skill from https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/operational/remote-compute-ops into .claude/skills/remote-compute-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-compute-ops", 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/AnastasiyaW/codex-claude-code-config/tree/main/skills/operational/remote-compute-opsType 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 AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AnastasiyaW/codex-claude-code-config remote-compute-ops --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/operational/remote-compute-ops .agents/skills/remote-compute-ops && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "remote-compute-ops" agent skill from https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/operational/remote-compute-ops into .agents/skills/remote-compute-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-compute-ops", 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 AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AnastasiyaW/codex-claude-code-config remote-compute-ops --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/operational/remote-compute-ops .cursor/skills/remote-compute-ops && 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 "remote-compute-ops" agent skill from https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/operational/remote-compute-ops into .cursor/skills/remote-compute-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-compute-ops", 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/AnastasiyaW/codex-claude-code-config.git --path skills/operational/remote-compute-ops--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 AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AnastasiyaW/codex-claude-code-config remote-compute-ops --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/operational/remote-compute-ops .gemini/skills/remote-compute-ops && 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 "remote-compute-ops" agent skill from https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/operational/remote-compute-ops into .gemini/skills/remote-compute-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-compute-ops", 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 AnastasiyaW/codex-claude-code-config remote-compute-opsInstalls 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 AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/operational/remote-compute-ops .github/skills/remote-compute-ops && 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 "remote-compute-ops" agent skill from https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/operational/remote-compute-ops into .github/skills/remote-compute-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-compute-ops", 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 AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AnastasiyaW/codex-claude-code-config remote-compute-ops --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-config.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/operational/remote-compute-ops .opencode/skills/remote-compute-ops && 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 "remote-compute-ops" agent skill from https://github.com/AnastasiyaW/codex-claude-code-config/tree/main/skills/operational/remote-compute-ops into .opencode/skills/remote-compute-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remote-compute-ops", 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.
remote-compute-opsOperate GPU and remote compute across RunPod (Pods and Serverless), Massed Compute VMs, and owned or virtual remote servers through existing bridges, SSH sessions, MCP/API adapters, bounded polling…
Remote Compute Ops is an agent skill from AnastasiyaW/codex-claude-code-config. Operate GPU and remote compute across RunPod (Pods and Serverless), Massed Compute VMs, and owned or virtual remote servers through existing bridges, SSH sessions, MCP/API adapters, bounded polling, cost controls, and resumable lifecycle checks. Use when the user mentions RunPod, Massed Compute, a remote GPU/server/VM, SSH bridge/tunnel/bastion/Tailscale, training or inference on rented compute, GPU inventory, billing, or asks to minimize API/SSH connections and avoid rate limits. Do not use for generic cloud…
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/massed-compute-recipes.md` and `references/provider-matrix.md`).
It sits in Backend & APIs, covering Rate limiting, Budgeting and forecasting and Serverless. It works with Model Context Protocol. The repository describes itself as: Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 67709af. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Remote Compute Ops loads about 3k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 156 tokens; SKILL.md has 1,584 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 AnastasiyaW/codex-claude-code-config at commit 67709af, republished under its MIT licence (© AnastasiyaW). 1,584 words, ~2,964 tokens.
.claude/skills/remote-compute-ops/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Use this skill as the provider-neutral workflow for remote GPU and server work. The provider is an adapter, not the name of the skill: RunPod, Massed Compute, and an owned/virtual server must all follow the same evidence, transport, lifecycle, and handoff rules.
When auditing this skill or designing a plan offline, do not call a provider, SSH, or bridge at all; state that live mode/identity is unproven. The read-only lookup below applies only when the user explicitly asks to inspect live remote state.
Reuse the already-created bridge or live connection before opening a new one. The purpose is reliable, rate-limit-compliant operation and avoiding unnecessary authentication attempts; never disguise traffic, evade a provider limit, rotate identities, or bypass a ban.
%USERPROFILE%\\.claude\\scripts\\conn_registry.py on Windows or
$HOME/.claude/scripts/conn_registry.py on POSIX when that file exists; if it is
not discoverable, report “registry unavailable” instead of guessing a path.ControlMaster/ControlPersist only after the exact route has passed a health
check. If multiplexing fails on the platform or bridge, do not retry it blindly:
use one batched command over the known working bridge.429, 503, connection resets, or transport timeouts, stop increasing the
request rate. Honor Retry-After, use bounded exponential backoff with jitter,
and record the retry budget. See transport-safety.md.Before a remote mutation, read the repository AGENTS.md, provider runbook, and
the relevant reference. Establish:
Do not infer a live state from a stale handoff, old dashboard, or a command that only proves that a process exists locally.
Use existing target metadata first. If the mode is unknown, make one read-only control-plane lookup and classify it before touching SSH:
/run//status//health, webhook, or
stream. Do not try to SSH to a Serverless job.If the provider or mode remains ambiguous after that one lookup, stop and report the missing identity instead of opening a second kind of connection.
Prefer this order:
For long jobs, prefer durable logs, checkpoints, job events, or a webhook over a tight status loop. If polling is the only supported observation path, use one job-specific timer with a minimum interval, a maximum deadline, a request budget, and terminal-state exit. Never poll every target independently from several agents.
Read provider-matrix.md and then the provider's existing detailed skill/runbook when available.
runpod-gpu-ops skill if it is installed; otherwise
use provider-matrix.md and the linked official
RunPod docs for account-specific images, volumes, and lifecycle. Serverless is
the default for scale-to-zero inference; a Pod is a persistent billed resource
and needs an explicit reason plus a cleanup owner. Use the returned
endpoint/job/pod ID as the identity for all later calls.Launching or restarting affects cost and capacity. State the chosen target, image, quantity, region, expected hourly/per-job burn, checkpoint/storage path, and stop condition before executing within the user's request.
Termination, deletion, key removal, volume destruction, and any action that can lose unrecoverable work require exact target disclosure, explicit confirmation, the smallest possible scope, and post-action verification. A vague label such as "the idle pod" is not an exact target.
Every mutation must have an identity and a durable observation record. If a launch or restart times out, assume it may have succeeded: list/get by exact ID, name, client idempotency key, or a narrow creation-time filter before retrying. Do not send a second launch because the first response was lost.
For each state transition, record provider, target ID, bridge/session used, source revision, last observation timestamp, state, job/checkpoint marker, and next allowed action. Do not record tokens, passwords, private keys, or full response bodies containing credentials.
After launch/restart/deploy, verify the actual user-facing or job outcome, not only
that a VM is listed as running:
If a remote action is left running, write the handoff/journal entry and state the exact next observation. Do not leave a paid resource without a shutdown rule.
/health result is
not the same as a completed job. Check the service/job marker and logs.429 or 503 -> stop fan-out, honor Retry-After, back off with jitter,
reduce polling frequency, and retry only idempotent reads. For an ambiguous
mutation, reconcile first.© AnastasiyaW, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/operational/remote-compute-ops of AnastasiyaW/codex-claude-code-config.
Open the folder on GitHubat commit 67709af
Remote Compute Ops 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 |
|---|---|---|---|---|---|---|
| Remote Compute Ops this skillAnastasiyaW/codex-claude-code-config | 154 | — | ~3k | Automated safety check: Pass | MIT | |
| Neon Functionsneondatabase/agent-skills | 100 | — | ~12k | Automated safety check: Notes | Apache-2.0 | |
| Azure Aigatewaymicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| AWS Serverless Edazxkane/aws-skills | 367 | 4 repos | ~3.2k | Automated safety check: Pass | MIT | |
| NubaseOtterMind/Nubase | 622 | — | ~2.2k | Automated safety check: Notes | Apache-2.0 | |
| AWS Solution Architectalirezarezvani/claude-skills | 28k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
neondatabase/agent-skills
Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASEURL injected automatically and compute that runs next to your data.
microsoft/GitHub-Copilot-for-Azure
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents.
zxkane/aws-skills
AWS serverless and event-driven architecture expert based on Well-Architected Framework.
OtterMind/Nubase
A skill your agent uses when the user mentions Nubase broadly, wants a backend for an AI-generated app, or needs to deploy/publish generated code online — across Database, Auth, Storage, Assets…
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
daydreamlive/scope
Test Scope locally in Livepeer mode end to end using a prebuilt go-livepeer artifact from the ja/serverless PR, uv run --extra livepeer livepeer-runner, and Scope.
AnastasiyaW/codex-claude-code-config
Find likely software bugs in a codebase, rank concrete bug candidates, and prove or reject them with focused regression tests before proposing a fix.
AnastasiyaW/codex-claude-code-config
A skill your agent uses when implementing Motion or Framer Motion in React/JavaScript: interactive UI components, micro-interactions, gestures, layout or page transitions, and scroll-based animation.
AnastasiyaW/codex-claude-code-config
Plan-based verification - freeze acceptance criteria before building, then verify after with an independent fresh-context agent (the builder must not verify their own work).
AnastasiyaW/codex-claude-code-config
Написание и запуск Claude Code dynamic workflows (JS-оркестратор субагентов).
AnastasiyaW/codex-claude-code-config
A skill your agent uses when: NotebookLM, notebooklm MCP, large documentation sets, courses, books, papers, or citation-backed research are mentioned.
AnastasiyaW/codex-claude-code-config
Validate a proposed DeepSeek API integration before any key or project context is sent: check thinking-mode tool-call history, strict-schema assumptions, bounded output, and provider data boundaries.
Works with
Categories
Operate GPU and remote compute across RunPod (Pods and Serverless), Massed Compute VMs, and owned or virtual remote servers through existing bridges, SSH sessions, MCP/API adapters, bounded polling…. Remote Compute Ops is an agent skill from AnastasiyaW/codex-claude-code-config. Operate GPU and remote compute across RunPod (Pods and Serverless), Massed Compute VMs, and owned or virtual remote servers through existing bridges, SSH sessions, MCP/API adapters, bounded polling, cost controls, and resumable lifecycle checks.
Remote Compute Ops fits situations like: the user mentions RunPod; A remote GPU/server/VM; SSH bridge/tunnel/bastion/Tailscale; inference on rented compute.
Run `npx skills add AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a claude-code`. Or copy the skill folder (skills/operational/remote-compute-ops in AnastasiyaW/codex-claude-code-config) into .claude/skills/remote-compute-ops in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a codex`. Or copy the skill folder (skills/operational/remote-compute-ops in AnastasiyaW/codex-claude-code-config) into .agents/skills/remote-compute-ops 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 AnastasiyaW/codex-claude-code-config --skill remote-compute-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remote-compute-ops, .gemini/skills/remote-compute-ops, .github/skills/remote-compute-ops and .opencode/skills/remote-compute-ops in your project.
SKILL.md names no scripts, command-line tools or credentials: Remote Compute Ops is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Remote Compute Ops is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Remote Compute Ops: Neon Functions (neondatabase/agent-skills, 100 stars), Azure Aigateway (microsoft/GitHub-Copilot-for-Azure, 255 stars), AWS Serverless Eda (zxkane/aws-skills, 367 stars) and Nubase (OtterMind/Nubase, 622 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AnastasiyaW (a GitHub user) maintains it in AnastasiyaW/codex-claude-code-config, which has 154 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 9, 2026.
Source: AnastasiyaW/codex-claude-code-config on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.