Neo4j Genai Plugin Skill
neo4j-contrib/neo4j-skills
Use Neo4j GenAI Plugin ai.text. An agent skill from neo4j-contrib/neo4j-skills.
Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features.
$ npx skills add github/awesome-copilot --skill arize-ai-provider-integration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot arize-ai-provider-integration --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/arize-ai-provider-integration .claude/skills/arize-ai-provider-integration && 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 "arize-ai-provider-integration" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/arize-ai-provider-integration into .claude/skills/arize-ai-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-ai-provider-integration", 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/github/awesome-copilot/tree/main/skills/arize-ai-provider-integrationType 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 github/awesome-copilot --skill arize-ai-provider-integration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot arize-ai-provider-integration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/arize-ai-provider-integration .agents/skills/arize-ai-provider-integration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "arize-ai-provider-integration" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/arize-ai-provider-integration into .agents/skills/arize-ai-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-ai-provider-integration", 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 github/awesome-copilot --skill arize-ai-provider-integration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot arize-ai-provider-integration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/arize-ai-provider-integration .cursor/skills/arize-ai-provider-integration && 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 "arize-ai-provider-integration" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/arize-ai-provider-integration into .cursor/skills/arize-ai-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-ai-provider-integration", 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/github/awesome-copilot.git --path skills/arize-ai-provider-integration--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 github/awesome-copilot --skill arize-ai-provider-integration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot arize-ai-provider-integration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/arize-ai-provider-integration .gemini/skills/arize-ai-provider-integration && 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 "arize-ai-provider-integration" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/arize-ai-provider-integration into .gemini/skills/arize-ai-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-ai-provider-integration", 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 github/awesome-copilot arize-ai-provider-integrationInstalls 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 github/awesome-copilot --skill arize-ai-provider-integration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/arize-ai-provider-integration .github/skills/arize-ai-provider-integration && 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 "arize-ai-provider-integration" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/arize-ai-provider-integration into .github/skills/arize-ai-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-ai-provider-integration", 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 github/awesome-copilot --skill arize-ai-provider-integration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot arize-ai-provider-integration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/arize-ai-provider-integration .opencode/skills/arize-ai-provider-integration && 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 "arize-ai-provider-integration" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/arize-ai-provider-integration into .opencode/skills/arize-ai-provider-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "arize-ai-provider-integration", 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.
arize-ai-provider-integrationCreates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features.
Arize AI Provider Integration is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/ax-profiles.md` and `references/ax-setup.md`). Compatibility notes: Requires the ax CLI and a configured Arize profile.
It works with Arize Phoenix, OpenAI, Amazon Bedrock and Azure OpenAI. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.
Read from SKILL.md and the folder at commit 727ff2e. 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 (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
integrate.api.nvidia.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYANTHROPIC_API_KEYARIZE_API_KEYCURSOR_TOKENAZURE_OPENAI_API_KEYGEMINI_API_KEYNVIDIA_API_KEYCUSTOM_LLM_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the ax CLI and a configured Arize profile.
From compatibility in the SKILL.md frontmatter.
Arize AI Provider Integration loads about 2.6k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 875 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 noted patterns worth knowing about, such as sudo or a known installer.
- **Security:** Never read `.env` files or search the filesystem for credentials. Use `ax profiles` for Arize credentialAutomated 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 github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 875 words, ~2,601 tokens.
.claude/skills/arize-ai-provider-integration/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
SPACE— Most--spaceflags and theARIZE_SPACEenv var accept a space name (e.g.,my-workspace) or a base64 space ID (e.g.,U3BhY2U6...). Find yours withax spaces list. Note:ai-integrations createdoes not accept--space— AI integrations are account-scoped. Use--spaceonly withlist,get,update, anddelete.
openAI, anthropic, awsBedrock)TGxtSW50ZWdyYXRpb246MTI6YUJjRA==); required for evaluator creation and other downstream operationsdefault (provider API key), proxy_with_headers (proxy via custom headers), or bearer_token (bearer token auth)Proceed directly with the task — run the ax command you need. Do NOT check versions, env vars, or profiles upfront.
If an ax command fails, troubleshoot based on the error:
command not found or version error → see references/ax-setup.md401 Unauthorized / missing API key → run ax profiles show to inspect the current profile. If the profile is missing or the API key is wrong, follow references/ax-profiles.md to create/update it. If the user doesn't have their key, direct them to https://app.arize.com/admin > API Keysax spaces list to pick by name, or ask the userax ai-integrations list --space SPACE to check for platform-managed credentials. If none exist, ask the user to provide the key or create an integration via the arize-ai-provider-integration skill.env files or search the filesystem for credentials. Use ax profiles for Arize credentials and ax ai-integrations for LLM provider keys. If credentials are not available through these channels, ask the user.List all integrations accessible in a space:
ax ai-integrations list --space SPACEFilter by name (case-insensitive substring match):
ax ai-integrations list --space SPACE --name "openai"Paginate large result sets:
# Get first page
ax ai-integrations list --space SPACE --limit 20 -o json
# Get next page using cursor from previous response
ax ai-integrations list --space SPACE --limit 20 --cursor CURSOR_TOKEN -o jsonKey flags:
| Flag | Description |
|---|---|
--space | Space name or ID to filter integrations |
--name | Case-insensitive substring filter on integration name |
--limit | Max results (1–100, default 15) |
--cursor | Pagination token from a previous response |
-o, --output | Output format: table (default) or json |
Response fields:
| Field | Description |
|---|---|
id | Base64 integration ID — copy this for downstream commands |
name | Human-readable name |
provider | LLM provider enum (see Supported Providers below) |
has_api_key | true if credentials are stored |
model_names | Allowed model list, or null if all models are enabled |
enable_default_models | Whether default models for this provider are allowed |
function_calling_enabled | Whether tool/function calling is enabled |
auth_type | Authentication method: default, proxy_with_headers, or bearer_token |
ax ai-integrations get NAME_OR_ID
ax ai-integrations get NAME_OR_ID -o json
ax ai-integrations get NAME_OR_ID --space SPACE # required when using name instead of IDUse this to inspect an integration's full configuration or to confirm its ID after creation.
Before creating, always list integrations first — the user may already have a suitable one:
ax ai-integrations list --space SPACEIf no suitable integration exists, create one. The required flags depend on the provider.
ax ai-integrations create \
--name "My OpenAI Integration" \
--provider openAI \
--api-key $OPENAI_API_KEYax ai-integrations create \
--name "My Anthropic Integration" \
--provider anthropic \
--api-key $ANTHROPIC_API_KEYax ai-integrations create \
--name "My Azure OpenAI Integration" \
--provider azureOpenAI \
--api-key $AZURE_OPENAI_API_KEY \
--base-url "https://my-resource.openai.azure.com/"AWS Bedrock uses IAM role-based auth. Provide the ARN of the role Arize should assume via --provider-metadata:
ax ai-integrations create \
--name "My Bedrock Integration" \
--provider awsBedrock \
--provider-metadata '{"role_arn": "arn:aws:iam::123456789012:role/ArizeBedrockRole"}'Vertex AI uses GCP service account credentials. Provide the GCP project and region via --provider-metadata:
ax ai-integrations create \
--name "My Vertex AI Integration" \
--provider vertexAI \
--provider-metadata '{"project_id": "my-gcp-project", "location": "us-central1"}'ax ai-integrations create \
--name "My Gemini Integration" \
--provider gemini \
--api-key $GEMINI_API_KEYax ai-integrations create \
--name "My NVIDIA NIM Integration" \
--provider nvidiaNim \
--api-key $NVIDIA_API_KEY \
--base-url "https://integrate.api.nvidia.com/v1"ax ai-integrations create \
--name "My Custom Integration" \
--provider custom \
--base-url "https://my-llm-proxy.example.com/v1" \
--api-key $CUSTOM_LLM_API_KEY| Provider | Required extra flags |
|---|---|
openAI | --api-key <key> |
anthropic | --api-key <key> |
azureOpenAI | --api-key <key>, --base-url <azure-endpoint> |
awsBedrock | --provider-metadata '{"role_arn": "<arn>"}' |
vertexAI | --provider-metadata '{"project_id": "<gcp-project>", "location": "<region>"}' |
gemini | --api-key <key> |
nvidiaNim | --api-key <key>, --base-url <nim-endpoint> |
custom | --base-url <endpoint> |
| Flag | Description |
|---|---|
--model-name | Allowed model name (repeat for multiple, e.g. --model-name gpt-4o --model-name gpt-4o-mini); omit to allow all models |
--enable-default-models | Enable the provider's default model list |
--function-calling-enabled | Enable tool/function calling support |
--auth-type | Authentication type: default, proxy_with_headers, or bearer_token |
--headers | Custom headers as JSON object or file path (for proxy auth) |
--provider-metadata | Provider-specific metadata as JSON object or file path |
Capture the returned integration ID (e.g., TGxtSW50ZWdyYXRpb246MTI6YUJjRA==) — it is needed for evaluator creation and other downstream commands. If you missed it, retrieve it:
ax ai-integrations list --space SPACE -o json
# or by name/ID directly:
ax ai-integrations get NAME_OR_IDupdate is a partial update — only the flags you provide are changed. Omitted fields stay as-is.
# Rename
ax ai-integrations update NAME_OR_ID --name "New Name"
# Rotate the API key
ax ai-integrations update NAME_OR_ID --api-key $OPENAI_API_KEY
# Change the model list (replaces all existing model names)
ax ai-integrations update NAME_OR_ID --model-name gpt-4o --model-name gpt-4o-mini
# Update base URL (for Azure, custom, or NIM)
ax ai-integrations update NAME_OR_ID --base-url "https://new-endpoint.example.com/v1"Add --space SPACE when using a name instead of ID. Any flag accepted by create can be passed to update.
Warning: Deletion is permanent. Evaluators that reference this integration will no longer be able to run.
ax ai-integrations delete NAME_OR_ID --force
ax ai-integrations delete NAME_OR_ID --space SPACE --force # required when using name instead of IDOmit --force to get a confirmation prompt instead of deleting immediately.
| Problem | Solution |
|---|---|
ax: command not found | See references/ax-setup.md |
401 Unauthorized | API key may not have access to this space. Verify key and space ID at https://app.arize.com/admin > API Keys |
No profile found | Run ax profiles show --expand; set ARIZE_API_KEY env var or write ~/.arize/config.toml |
Integration not found | Verify with ax ai-integrations list --space SPACE |
has_api_key: false after create | Credentials were not saved — re-run update with the correct --api-key or --provider-metadata |
| Evaluator runs fail with LLM errors | Check integration credentials with ax ai-integrations get INT_ID; rotate the API key if needed |
provider mismatch | Cannot change provider after creation — delete and recreate with the correct provider |
arize-evaluatorarize-experimentSee references/ax-profiles.md § Save Credentials for Future Use.
© github, 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 2 other files (references) in skills/arize-ai-provider-integration of github/awesome-copilot.
Open the folder on GitHubat commit 727ff2e
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.
Arize AI Provider Integration 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 |
|---|---|---|---|---|---|---|
| Arize AI Provider Integration this skillgithub/awesome-copilot | 40k | 1 repos | ~2.6k | Automated safety check: Notes | MIT | |
| Neo4j Genai Plugin Skillneo4j-contrib/neo4j-skills | 114 | — | ~3k | Automated safety check: Notes | MIT | |
| Add Model Pricelitefuse/litefuse | 100 | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Sap AI Coresecondsky/sap-skills | 460 | — | ~3.3k | Automated safety check: Pass | GPL-3.0 | |
| Open Code Review CLIalibaba/open-code-review | 44k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Embeddings via 9Routerdecolua/9router | 30k | — | ~604 | Automated safety check: Pass | MIT |
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Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Arize AI Provider Integration is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features.
Arize AI Provider Integration fits situations like: the user mentions AI integration; LLM provider credentials; create integration; list integrations.
Run `npx skills add github/awesome-copilot --skill arize-ai-provider-integration -a claude-code`. Or copy the skill folder (skills/arize-ai-provider-integration in github/awesome-copilot) into .claude/skills/arize-ai-provider-integration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add github/awesome-copilot --skill arize-ai-provider-integration -a codex`. Or copy the skill folder (skills/arize-ai-provider-integration in github/awesome-copilot) into .agents/skills/arize-ai-provider-integration 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 github/awesome-copilot --skill arize-ai-provider-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/arize-ai-provider-integration, .gemini/skills/arize-ai-provider-integration, .github/skills/arize-ai-provider-integration and .opencode/skills/arize-ai-provider-integration in your project.
Going by SKILL.md and its folder, Arize AI Provider Integration needs credentials named OPENAI_API_KEY, ANTHROPIC_API_KEY, ARIZE_API_KEY and CURSOR_TOKEN. Our summary lists: A credential in OPENAI_API_KEY; A credential in ANTHROPIC_API_KEY. Compatibility (from SKILL.md): Requires the ax CLI and a configured Arize profile..
SKILL.md names 1 domain. In commands or code: integrate.api.nvidia.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Arize AI Provider Integration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k 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 1.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Arize AI Provider Integration: Neo4j Genai Plugin Skill (neo4j-contrib/neo4j-skills, 114 stars), Add Model Price (litefuse/litefuse, 100 stars), Sap AI Core (secondsky/sap-skills, 460 stars) and Open Code Review CLI (alibaba/open-code-review, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.
Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.