Dynamo Interconnect Check
NVIDIA/skills
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink.
Inspect Overmind model deployments, serving metrics, worker state and live routing; test inference and activate an approved model.
$ npx skills add overmind-core/overmind --skill overmind-inference -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install overmind-core/overmind overmind-inference --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/overmind-core/overmind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/overmind/skills/overmind-inference .claude/skills/overmind-inference && 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 "overmind-inference" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-inference into .claude/skills/overmind-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-inference", 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/overmind-core/overmind/tree/main/overmind/skills/overmind-inferenceType 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 overmind-core/overmind --skill overmind-inference -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install overmind-core/overmind overmind-inference --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/overmind/skills/overmind-inference .agents/skills/overmind-inference && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "overmind-inference" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-inference into .agents/skills/overmind-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-inference", 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 overmind-core/overmind --skill overmind-inference -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install overmind-core/overmind overmind-inference --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/overmind/skills/overmind-inference .cursor/skills/overmind-inference && 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 "overmind-inference" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-inference into .cursor/skills/overmind-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-inference", 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/overmind-core/overmind.git --path overmind/skills/overmind-inference--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 overmind-core/overmind --skill overmind-inference -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install overmind-core/overmind overmind-inference --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/overmind/skills/overmind-inference .gemini/skills/overmind-inference && 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 "overmind-inference" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-inference into .gemini/skills/overmind-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-inference", 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 overmind-core/overmind overmind-inferenceInstalls 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 overmind-core/overmind --skill overmind-inference -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .github/skills && cp -r skills-src/overmind/skills/overmind-inference .github/skills/overmind-inference && 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 "overmind-inference" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-inference into .github/skills/overmind-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-inference", 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 overmind-core/overmind --skill overmind-inference -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install overmind-core/overmind overmind-inference --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/overmind/skills/overmind-inference .opencode/skills/overmind-inference && 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 "overmind-inference" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-inference into .opencode/skills/overmind-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-inference", 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.
overmind-inferenceInspect Overmind model deployments, serving metrics, worker state and live routing; test inference and activate an approved model.
Overmind Inference is an agent skill from overmind-core/overmind. Inspect Overmind model deployments, serving metrics, worker state and live routing; test inference and activate an approved model. Use for Inference and serving operations, not training or benchmark selection.
Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including assets (for example `agents/openai.yaml`).
It sits in AI & LLM Engineering, covering Deployment. The repository describes itself as: The platform for continuously improving AI agents. The licence is AGPL-3.0.
Read from SKILL.md and the folder at commit 3dec73c. 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.
Overmind Inference loads about 753 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 369 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 overmind-core/overmind at commit 3dec73c, republished under its AGPL-3.0 licence (© overmind-core). 369 words, ~753 tokens.
.claude/skills/overmind-inference/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Start with list_projects and choose the intended accessible project. For an
account connection, pass its project_id on every project tool and resource
URI query; follow returned links. Project API keys retain their narrower access.
Determine whether a model is ready, warm, selected and actually used. These are separate states. Use the chosen MCP project and returned deployment identities; do not invent model IDs or infer a live alias from training success.
Read overmind://deployments/{deployment} and the relevant capability resource.
For metrics, the deployment resource accepts period=1h|24h|7d|30d|all and
source=application|all. State the selected filters; all-time/all-traffic is
the default. Use application traffic when determining whether the user's
application is connected.
Separate deployment readiness, current worker warmth, capability routing and successful application traffic. Worker measurements can be unavailable: null counts are unknown, not zero. Reading metrics does not wake a model. Historical traffic does not prove the worker is currently warm.
Describe failures and latency percentiles with their period and traffic source. Do not let platform evaluations or smoke calls stand in for application usage.
Use run_inference only for a requested test on a ready deployment, with the
user's supplied messages and output budget. Preserve explicit max_tokens;
omission uses the production default. Report finish reason and truncation.
An oversized context request needs a deliberate input/budget change, not silent
clipping. A test may incur inference spend.
For an authorized rollout, prefer ship-model when capability, deployment and
fine-tuning job are known. Otherwise inspect readiness, then use
set_active_model for the approved capability/deployment. Poll the returned
model_activation job. The previous alias remains selected until verification
succeeds; a requested switch is not a completed switch.
Use retry_deployment only for a failed or deleted deployment. Clearing routing
is a separate requested action; omitting deployment from set_active_model
clears it and cancels a pending switch. Do not change the benchmark to activate
serving.
For a repository rollout, get_model_swap_prompt supplies a local handoff.
Apply code changes only within the requested scope and verify final capability
and deployment state. Successful application API-key calls establish connection
independently of a completed activation.
Report readiness, worker state, selected alias and application evidence
separately. Open inference under the project's Console base, preserving
projectId, when the user wants the visual serving view.
© overmind-core, AGPL-3.0. 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 2 other files (assets) in overmind/skills/overmind-inference of overmind-core/overmind.
Open the folder on GitHubat commit 3dec73c
Overmind Inference 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 |
|---|---|---|---|---|---|---|
| Overmind Inference this skillovermind-core/overmind | 597 | — | ~753 | Automated safety check: Pass | AGPL-3.0 | |
| Dynamo Interconnect CheckNVIDIA/skills | 3.5k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Cohere Migration Deep Divejeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Claude Cost Optimizationmajiayu000/claude-skill-registry | 666 | 1 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Anth Prod Checklistjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Coreweave Local Dev Loopjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~927 | Automated safety check: Notes | MIT |
NVIDIA/skills
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink.
jeremylongshore/tons-of-skills-marketplace
Migrate an application to or from Cohere with a provider adapter, parallel embedding index, quality evaluation, canary traffic, and rollback.
majiayu000/claude-skill-registry
Comprehensive cost tracking and optimization for production Claude deployments.
jeremylongshore/tons-of-skills-marketplace
Execute production deployment checklist for Claude API integrations.
jeremylongshore/tons-of-skills-marketplace
Set up local development workflow for CoreWeave GPU deployments.
jeremylongshore/tons-of-skills-marketplace
Create tensorflow savedmodel creator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
overmind-core/overmind
End-to-end workflow for adding or changing a backend API endpoint — which module the serializer and view belong in, URL registration, OpenAPI client regeneration, and typed consumption from the…
overmind-core/overmind
Rules for adding a new model or model family to the finetuning pipeline, or changing finetuning behavior for an existing one — engine-agnostic customization via family hooks instead of if/else in…
overmind-core/overmind
Overmind Console design system — semantic tokens, shared primitives, geometry and icons, the border-contrast floor, the duplicated table implementations, and the verification scripts.
overmind-core/overmind
End-to-end workflow for adding or changing Overmind MCP tools, resources, prompts, authentication, or result contracts — server layers, catalog registration, MCP-impact classification, and required…
overmind-core/overmind
How to open a complete pull request on overmind-core/overmind — the CI gates, the cross-cutting surfaces a change must carry with it (MCP, blast radius, the docs repo), gh pr edit being broken here…
overmind-core/overmind
Run or modify the seeddemo management command (the one-project Support Copilot demo) without breaking the beat-safety invariants that keep celery workers from re-driving seeded rows.
Categories
Inspect Overmind model deployments, serving metrics, worker state and live routing; test inference and activate an approved model. Overmind Inference is an agent skill from overmind-core/overmind. Inspect Overmind model deployments, serving metrics, worker state and live routing; test inference and activate an approved model.
Overmind Inference fits situations like: inference and serving operations; benchmark selection.
Run `npx skills add overmind-core/overmind --skill overmind-inference -a claude-code`. Or copy the skill folder (overmind/skills/overmind-inference in overmind-core/overmind) into .claude/skills/overmind-inference in your project. Claude Code loads it when a task matches its description.
Run `npx skills add overmind-core/overmind --skill overmind-inference -a codex`. Or copy the skill folder (overmind/skills/overmind-inference in overmind-core/overmind) into .agents/skills/overmind-inference 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 overmind-core/overmind --skill overmind-inference -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/overmind-inference, .gemini/skills/overmind-inference, .github/skills/overmind-inference and .opencode/skills/overmind-inference in your project.
SKILL.md names no scripts, command-line tools or credentials: Overmind Inference 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.
Overmind Inference is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 753 tokens (SKILL.md is roughly 3k 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 Overmind Inference: Dynamo Interconnect Check (NVIDIA/skills, 3.5k stars), Cohere Migration Deep Dive (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Claude Cost Optimization (majiayu000/claude-skill-registry, 666 stars) and Anth Prod Checklist (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
overmind-core (a GitHub organization) maintains it in overmind-core/overmind, which has 597 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.
Source: overmind-core/overmind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.