Megatron-LM Base Image Bump
NVIDIA/Megatron-LM
Moves Megatron-LM CI to a newer NVIDIA PyTorch base image, updating both the GitHub and GitLab pins together and handling the CI follow-up.
Used to release all toolbox, integrations, agents. An agent skill from memgraph/ai-toolkit.
Install Release
$ npx skills add memgraph/ai-toolkit --skill release -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install memgraph/ai-toolkit release --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/memgraph/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/release .claude/skills/release && 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 "release" agent skill from https://github.com/memgraph/ai-toolkit/tree/main/skills/release into .claude/skills/release/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release", 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/memgraph/ai-toolkit/tree/main/skills/releaseType 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 memgraph/ai-toolkit --skill release -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install memgraph/ai-toolkit release --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/memgraph/ai-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/release .agents/skills/release && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "release" agent skill from https://github.com/memgraph/ai-toolkit/tree/main/skills/release into .agents/skills/release/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release", 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 memgraph/ai-toolkit --skill release -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install memgraph/ai-toolkit release --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/memgraph/ai-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/release .cursor/skills/release && 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 "release" agent skill from https://github.com/memgraph/ai-toolkit/tree/main/skills/release into .cursor/skills/release/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release", 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/memgraph/ai-toolkit.git --path skills/release--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 memgraph/ai-toolkit --skill release -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install memgraph/ai-toolkit release --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/memgraph/ai-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/release .gemini/skills/release && 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 "release" agent skill from https://github.com/memgraph/ai-toolkit/tree/main/skills/release into .gemini/skills/release/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release", 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 memgraph/ai-toolkit releaseInstalls 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 memgraph/ai-toolkit --skill release -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/memgraph/ai-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/release .github/skills/release && 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 "release" agent skill from https://github.com/memgraph/ai-toolkit/tree/main/skills/release into .github/skills/release/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release", 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 memgraph/ai-toolkit --skill release -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install memgraph/ai-toolkit release --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/memgraph/ai-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/release .opencode/skills/release && 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 "release" agent skill from https://github.com/memgraph/ai-toolkit/tree/main/skills/release into .opencode/skills/release/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release", 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.
Facts
- Skill name
release- GitHub stars
- 114
- Token cost
- ~1.2k tokens
- SKILL.md length
- 301 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- MIT
At a glance
Used to release all toolbox, integrations, agents. An agent skill from memgraph/ai-toolkit.
- Releasing a subproject to PyPI
- SKILL.md covers Workflow files, Subproject paths, Required GitHub secrets and Notes
- Calls uv; needs PYPI_TOKEN and DOCKERHUB_TOKEN
- The user asks to release
What it does
Release is an agent skill from memgraph/ai-toolkit. Used to release all toolbox, integrations, agents. Use when releasing a subproject to PyPI, Docker Hub, or when the user asks to release or publish.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Containers. It works with Docker. The repository describes itself as: Toolkit for building AI-driven graph apps on Memgraph, with LangChain, MCP, and agent implementations. The licence is MIT.
When your agent uses it
- Releasing a subproject to PyPI
- The user asks to release
Example prompts
- “/release”
Requirements
- Docker
- A credential in PYPI_TOKEN
- A credential in DOCKERHUB_TOKEN
What it can do on your machine
Read from SKILL.md and the folder at commit 01b2666. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
PYPI_TOKENDOCKERHUB_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Release loads about 1.2k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 301 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from memgraph/ai-toolkit at commit 01b2666, republished under its MIT licence (© memgraph). 301 words, ~1,205 tokens.
Download SKILL.mdSave it as
.claude/skills/release/SKILL.md (or your agent's skills folder).- name
- release
- description
- Used to release all toolbox, integrations, agents. Use when releasing a subproject to PyPI, Docker Hub, or when the user asks to release or publish.
Release Workflows
All release workflows are triggered via workflow_dispatch (manual) from the GitHub Actions tab. Bump the version in the subproject's pyproject.toml before dispatching.
Workflow files
| Workflow file | Package | What it does | Secrets used |
|---|---|---|---|
release-mcp-memgraph.yaml | mcp-memgraph | Build & publish to PyPI + Docker Hub | PYPI_TOKEN, DOCKERHUB_USERNAME, DOCKERHUB_TOKEN |
release-toolbox.yaml | memgraph-toolbox | Build & publish to PyPI | PYPI_TOKEN |
release-langchain-memgraph.yaml | langchain-memgraph | Build & publish to PyPI | PYPI_TOKEN |
release-lightrag-memgraph.yaml | lightrag-memgraph | Build & publish to PyPI | PYPI_TOKEN |
release-unstructured2graph.yaml | unstructured2graph | Build & publish to PyPI | PYPI_TOKEN |
release-hygm.yaml | hygm | Build & publish to PyPI | PYPI_TOKEN |
release-agent-context-graph.yaml | agent-context-graph | Build & publish to PyPI | PYPI_TOKEN |
release-actions-graph.yaml | actions-graph | Build & publish to PyPI | PYPI_TOKEN |
release-skills-graph.yaml | skills-graph | Build & publish to PyPI | PYPI_TOKEN |
release-sessions-graph.yaml | sessions-graph | Build & publish to PyPI | PYPI_TOKEN |
Subproject paths
| Package | Path | pyproject.toml version field |
|---|---|---|
| memgraph-toolbox | memgraph-toolbox | [project] version |
| mcp-memgraph | integrations/mcp-memgraph | [project] version |
| langchain-memgraph | integrations/langchain-memgraph | [project] version |
| lightrag-memgraph | integrations/lightrag-memgraph | [project] version |
| unstructured2graph | unstructured2graph | [project] version |
| hygm | hygm | [project] version |
| agent-context-graph | context-graph/agent-context-graph | [project] version |
| actions-graph | context-graph/actions-graph | [project] version |
| skills-graph | context-graph/skills-graph | [project] version |
| sessions-graph | context-graph/sessions-graph | [project] version |
Required GitHub secrets
| Secret | Used by | Description |
|---|---|---|
PYPI_TOKEN | All release workflows | PyPI API token for uv publish |
DOCKERHUB_USERNAME | release-mcp-memgraph | Docker Hub username |
DOCKERHUB_TOKEN | release-mcp-memgraph | Docker Hub access token |
Notes
- Publish dependencies first. PyPI resolves the published floor of every dependency, so release in dependency order:
memgraph-toolbox→hygm→unstructured2graph;agent-context-graph→actions-graph/skills-graph→sessions-graph. - Context Graph plugins install from PyPI in
context-graph/plugins/*/scripts/bootstrap.sh. When a release is one the plugins need, raise the floors there and bump both plugin manifests (.claude-plugin/plugin.json,.codex-plugin/plugin.json) plus the root.claude-plugin/marketplace.jsonentry, and merge that only once the packages are on PyPI: the plugins install frommain. - lightrag-memgraph, unstructured2graph and hygm use
uv build --out-dir distto work around a uv artifact path issue. - The mcp-memgraph Docker image is built from the repo root (the Dockerfile copies both
memgraph-toolbox/andintegrations/mcp-memgraph/). - The mcp-memgraph workflow tags the Docker image with both the version and
latest.
© memgraph, 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/release of memgraph/ai-toolkit.
Open the folder on GitHubat commit 01b2666
Compare with similar skills
Release 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 |
|---|---|---|---|---|---|---|
| Release this skillmemgraph/ai-toolkit | 114 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Megatron-LM Base Image BumpNVIDIA/Megatron-LM | 18k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Opik Local Dev Environmentcomet-ml/opik | 22k | — | ~734 | Automated safety check: Pass | Apache-2.0 | |
| Generate Nemo Gym Envadithya-s-k/FineEnvs | 456 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Cosmos3 Env TroubleshootNVIDIA/cosmos-framework | 559 | — | ~1.3k | Automated safety check: Notes | Custom licence | |
| Setup Workshopbrevdev/workshop-build-an-agent | 146 | — | ~2.3k | Automated safety check: Notes | Apache-2.0 |
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- Official
Opik Local Dev Environment
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Starts, rebuilds, and troubleshoots the Opik local dev stack, including an optional Comet Platform integration mode for the Opik team.
Generate Nemo Gym Env
adithya-s-k/FineEnvs
Builds a NeMo Gym (NVIDIA) variant of an RL environment. An agent skill from adithya-s-k/FineEnvs.
- Official
Cosmos3 Env Troubleshoot
NVIDIA/cosmos-framework
Diagnose and fix Cosmos3 environment, installation, and runtime errors.
Setup Workshop
brevdev/workshop-build-an-agent
This skill should be used when the user wants to set up, install, deploy, bootstrap, or "spin up" the Build-an-Agent workshop (a.k.a.
Headless Codex CLI Automation
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Questions about Release
What does Release do?
Used to release all toolbox, integrations, agents. An agent skill from memgraph/ai-toolkit. Release is an agent skill from memgraph/ai-toolkit. Used to release all toolbox, integrations, agents.
When should I use Release?
Release fits situations like: releasing a subproject to PyPI; the user asks to release.
How do I install Release in Claude Code?
Run `npx skills add memgraph/ai-toolkit --skill release -a claude-code`. Or copy the skill folder (skills/release in memgraph/ai-toolkit) into .claude/skills/release in your project. Claude Code loads it when a task matches its description.
How do I install Release in Codex?
Run `npx skills add memgraph/ai-toolkit --skill release -a codex`. Or copy the skill folder (skills/release in memgraph/ai-toolkit) into .agents/skills/release in your project. Codex loads it when a task matches its description.
Can I use Release 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 memgraph/ai-toolkit --skill release -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/release, .gemini/skills/release, .github/skills/release and .opencode/skills/release in your project.
What does Release need to run?
Going by SKILL.md and its folder, Release needs the command-line tools its instructions call (uv) and credentials named PYPI_TOKEN and DOCKERHUB_TOKEN. Our summary lists: Docker; A credential in PYPI_TOKEN; A credential in DOCKERHUB_TOKEN.
Does Release access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Release safe to install?
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.
What licence does Release use?
Release is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Release use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Release?
Skills that share tags, products or a category with Release: Megatron-LM Base Image Bump (NVIDIA/Megatron-LM, 18k stars), Opik Local Dev Environment (comet-ml/opik, 22k stars), Generate Nemo Gym Env (adithya-s-k/FineEnvs, 456 stars) and Cosmos3 Env Troubleshoot (NVIDIA/cosmos-framework, 559 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Release?
memgraph (a GitHub organization) maintains it in memgraph/ai-toolkit, which has 114 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 9, 2026.
Source: memgraph/ai-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.