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Triggers on \"list projects\", \"create project\", \"ax projects\", \"delete project\", or any request about managing Arize projects via CLI.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"arize","Arize AI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Farize.jpg","Arize-ai",[13,17],{"name":14,"slug":15,"type":16},"Observability","observability","tag",{"name":18,"slug":19,"type":16},"CLI","cli",20,"https:\u002F\u002Fgithub.com\u002FArize-ai\u002Farize-claude-code-plugin","2026-07-12T08:08:07.341667",null,4,[],{"repoUrl":21,"stars":20,"forks":24,"topics":27,"description":28},[],"Arize Claude Code Plugin","https:\u002F\u002Fgithub.com\u002FArize-ai\u002Farize-claude-code-plugin\u002Ftree\u002FHEAD\u002Fplugins\u002Farize-platform\u002Fskills\u002Farize-projects","---\nname: arize-projects\ndescription: Manage projects in Arize AI using the ax CLI. Use when users want to list projects, get project details, create new projects, delete projects, or organize work within Arize spaces. Triggers on \"list projects\", \"create project\", \"ax projects\", \"delete project\", or any request about managing Arize projects via CLI.\n---\n\n# Arize AX Projects\n\nManage projects in the Arize AI platform using the `ax` CLI.\n\n## Prerequisites\n\nThe user must have:\n1. Arize AX CLI installed (`pip install arize-ax-cli`)\n2. CLI configured with valid credentials (`ax config init`)\n\n## Core Project Commands\n\n### List Projects\n\n```bash\nax projects list\n```\n\n**Options:**\n- `--space-id \u003Cid>` - Space ID to list projects from (uses config default if not set)\n- `--limit, -n \u003Ccount>` - Maximum number of projects to return (default: 15)\n- `--cursor \u003Ctoken>` - Pagination cursor for next page\n- `--output, -o \u003Cformat>` - Output format: `table` (default), `json`, `csv`, `parquet`, or a file path\n- `--profile, -p \u003Cname>` - Configuration profile to use\n- `--verbose, -v` - Enable verbose logs\n\n**Examples:**\n\n```bash\n# List projects (default table format)\nax projects list\n\n# List as JSON\nax projects list --output json\n\n# List from a specific space\nax projects list --space-id sp_abc123\n\n# Limit results\nax projects list -n 5\n\n# Use production profile\nax projects list --profile production\n```\n\n**Extracting Project IDs:**\n\n```bash\n# Get all project IDs and names as JSON\nax projects list --output json | jq '.[] | {id: .id, name: .name}'\n\n# Find a project ID by name\nax projects list --output json | jq -r '.[] | select(.name == \"My Project\") | .id'\n\n# Save project ID to a variable\nPROJECT_ID=$(ax projects list --output json | jq -r '.[] | select(.name == \"My Project\") | .id')\necho \"Found project: $PROJECT_ID\"\n```\n\n**Without jq (using grep):**\n\n```bash\n# Find project by name\nax projects list --output json | grep -B 1 '\"name\": \"My Project\"' | grep \"id\" | cut -d'\"' -f4\n```\n\n### Resolving Project Names to IDs\n\nThe CLI commands (`get`, `delete`) require a project ID, not a name. When a user refers to a project by name, resolve the ID first using `projects list`:\n\n1. Run `ax projects list --output json`\n2. Parse the JSON to find the project matching the requested name\n3. Use the resolved ID for subsequent commands\n\nIf no exact match is found, check for partial or case-insensitive matches and confirm with the user before proceeding. If multiple matches exist, present the options and ask the user to choose.\n\n```bash\n# Example: user asks to \"get the ML Experiments project\"\nPROJECT_ID=$(ax projects list --output json | jq -r '.[] | select(.name == \"ML Experiments\") | .id')\nif [ -z \"$PROJECT_ID\" ]; then\n  echo \"Project not found. Available projects:\"\n  ax projects list --output json | jq '.[] | {id: .id, name: .name}'\nelse\n  ax projects get \"$PROJECT_ID\"\nfi\n```\n\n### Get Project Details\n\nRetrieve information about a specific project:\n\n```bash\nax projects get \u003Cproject-id>\n```\n\n**Arguments:**\n- `id` (required) - The project ID\n\n**Options:**\n- `--output, -o \u003Cformat>` - Output format: `table` (default), `json`, `csv`, `parquet`, or a file path\n- `--profile, -p \u003Cname>` - Configuration profile to use\n- `--verbose, -v` - Enable verbose logs\n\n**Examples:**\n\n```bash\n# Get project details\nax projects get proj_abc123\n\n# Get as JSON\nax projects get proj_abc123 --output json\n\n# Get from production environment\nax projects get proj_abc123 --profile production\n```\n\n### Create a Project\n\nCreate a new project in a space:\n\n```bash\nax projects create --name \u003Cname> --space-id \u003Cspace-id>\n```\n\n**Options:**\n- `--name, -n \u003Cname>` (required) - Project name (prompted interactively if not provided)\n- `--space-id \u003Cid>` (required) - Space ID to create the project in (prompted interactively if not provided)\n- `--output, -o \u003Cformat>` - Output format: `table` (default), `json`, `csv`, `parquet`, or a file path\n- `--profile, -p \u003Cname>` - Configuration profile to use\n- `--verbose, -v` - Enable verbose logs\n\n**Examples:**\n\n```bash\n# Create with all options specified\nax projects create --name \"ML Experiments\" --space-id sp_abc123\n\n# Create interactively (prompts for name and space-id)\nax projects create\n\n# Create and output as JSON\nax projects create --name \"Staging Tests\" --space-id sp_abc123 --output json\n\n# Create using a specific profile\nax projects create --name \"Production Project\" --space-id sp_abc123 --profile production\n```\n\n### Delete a Project\n\nRemove a project by ID:\n\n```bash\nax projects delete \u003Cproject-id>\n```\n\n**Arguments:**\n- `id` (required) - The project ID\n\n**Options:**\n- `--force, -f` - Skip confirmation prompt\n- `--profile, -p \u003Cname>` - Configuration profile to use\n- `--verbose, -v` - Enable verbose logs\n\n**Examples:**\n\n```bash\n# Delete with confirmation prompt\nax projects delete proj_abc123\n\n# Delete without confirmation\nax projects delete proj_abc123 --force\n\n# Delete from production\nax projects delete proj_abc123 --profile production\n```\n\n**Warning**: Deletion is permanent. Always verify the project ID before deleting.\n\n## Pagination\n\nThe `projects list` command uses cursor-based pagination. The response includes a cursor for fetching the next page:\n\n```bash\n# First page\nax projects list -n 10 --output json\n\n# Use the cursor from the previous response to get the next page\nax projects list -n 10 --cursor \u003Ccursor-from-previous-response>\n```\n\n## Common Workflows\n\n### Workflow 1: Find Project by Name and Get Details\n\n```bash\n# 1. List all projects\nax projects list --output json | jq '.[] | {id: .id, name: .name}'\n\n# 2. Extract the project ID by name\nPROJECT_ID=$(ax projects list --output json | jq -r '.[] | select(.name == \"ML Experiments\") | .id')\n\n# 3. Get detailed information\nax projects get \"$PROJECT_ID\"\n```\n\n### Workflow 2: Create and Verify a Project\n\n```bash\n# 1. Create the project\nax projects create --name \"New Experiment\" --space-id sp_abc123\n\n# 2. Find the new project ID\nPROJECT_ID=$(ax projects list --output json | jq -r '.[] | select(.name == \"New Experiment\") | .id')\necho \"Created project: $PROJECT_ID\"\n\n# 3. Verify details\nax projects get \"$PROJECT_ID\"\n```\n\n### Workflow 3: Work with Projects Across Environments\n\n```bash\n# List projects in production\nax projects list --profile production\n\n# Create project in staging\nax projects create --name \"Test Project\" --space-id sp_staging_123 --profile staging\n\n# Get project details from dev\nax projects get proj_dev_456 --profile dev\n```\n\n### Workflow 4: Cleanup Old Projects\n\n```bash\n# 1. List all projects\nax projects list --output json | jq '.[] | {id: .id, name: .name}'\n\n# 2. Review and identify projects to delete\n\n# 3. Delete old projects\nax projects delete proj_old_001 --force\nax projects delete proj_old_002 --force\n```\n\n## Output Format Examples\n\n### Table Format (Default)\nHuman-readable table with columns for ID, Name, Created, and other metadata.\n\n### JSON Format\nStructured JSON with full project metadata:\n```json\n{\n  \"id\": \"proj_abc123\",\n  \"name\": \"ML Experiments\",\n  \"space_id\": \"sp_xyz789\",\n  \"created_at\": \"2024-01-15T10:30:00Z\"\n}\n```\n\n### CSV \u002F Parquet\nUse `--output csv` or `--output parquet` for data-processing-friendly formats. You can also pass a file path to write directly to a file:\n```bash\nax projects list --output projects.csv\nax projects list --output projects.parquet\n```\n\n## Troubleshooting\n\n### \"Project not found\"\n\n1. Verify project ID: `ax projects list`\n2. Check you're using the correct profile: `ax config show`\n3. Ensure the project exists in the current space\n\n### \"Permission denied\" or \"Unauthorized\"\n\n1. Check API key is valid: `ax config show --expand`\n2. Verify the key has project permissions in Arize\n3. Try re-authenticating: `ax config init`\n\n### \"Space not found\" when creating\n\n1. Verify the space ID is correct\n2. Check your profile has the right space configured: `ax config show`\n3. List available spaces or check https:\u002F\u002Fapp.arize.com\n\n### Cannot list projects\n\n1. Check CLI is configured: `ax config show`\n2. Verify network connectivity\n3. Try with `--verbose` for more detail: `ax projects list --verbose`\n\n## Tips\n\n1. **Extract project IDs by name**:\n   ```bash\n   PROJECT_ID=$(ax projects list --output json | jq -r '.[] | select(.name == \"My Project\") | .id')\n   ```\n2. **Use JSON output for scripting**: `ax projects list --output json | jq '.[] | .id'`\n3. **List IDs and names together**: `ax projects list --output json | jq '.[] | {id, name}'`\n4. **Verify before delete**: Use `ax projects get \"$PROJECT_ID\"` to confirm before deleting\n5. **Profile naming**: Use descriptive names like `prod`, `staging`, `dev`\n6. **Use `--force` in scripts**: Skip interactive confirmation with `-f` when automating\n\n## Next Steps\n\n- View project details in Arize UI: https:\u002F\u002Fapp.arize.com\n- Use `\u002Farize-datasets` to manage datasets within projects\n- Visit https:\u002F\u002Fdocs.arize.com for full documentation\n\n## When to Use This Skill\n\nUse this skill when users want to:\n- ✅ List all projects in their Arize space\n- ✅ Get details about a specific project\n- ✅ Create a new project\n- ✅ Delete projects they no longer need\n- ✅ Work with projects across multiple environments\u002Fprofiles\n\n**Don't use this skill for:**\n- ❌ Managing datasets (use `\u002Farize-datasets` instead)\n- ❌ Installing\u002Fconfiguring the CLI (use `\u002Fsetup-arize-cli` instead)\n",{"data":32,"body":33},{"name":4,"description":6},{"type":34,"children":35},"root",[36,45,60,67,72,102,108,115,148,157,258,266,473,481,718,726,849,855,883,907,912,1137,1143,1148,1190,1198,1211,1218,1272,1279,1399,1405,1410,1478,1485,1560,1567,1780,1786,1791,1830,1837,1849,1856,1888,1895,2010,2020,2026,2038,2145,2151,2157,2331,2337,2533,2539,2686,2692,2827,2833,2839,2844,2850,2855,3024,3030,3051,3106,3112,3118,3148,3154,3183,3189,3220,3226,3263,3269,3452,3458,3496,3502,3507,3535,3543,3570],{"type":37,"tag":38,"props":39,"children":41},"element","h1",{"id":40},"arize-ax-projects",[42],{"type":43,"value":44},"text","Arize AX 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interactive confirmation with ",{"type":37,"tag":52,"props":3445,"children":3447},{"className":3446},[],[3448],{"type":43,"value":3449},"-f",{"type":43,"value":3451}," when automating",{"type":37,"tag":61,"props":3453,"children":3455},{"id":3454},"next-steps",[3456],{"type":43,"value":3457},"Next Steps",{"type":37,"tag":158,"props":3459,"children":3460},{},[3461,3471,3483],{"type":37,"tag":77,"props":3462,"children":3463},{},[3464,3466],{"type":43,"value":3465},"View project details in Arize UI: ",{"type":37,"tag":3213,"props":3467,"children":3469},{"href":3215,"rel":3468},[3217],[3470],{"type":43,"value":3215},{"type":37,"tag":77,"props":3472,"children":3473},{},[3474,3475,3481],{"type":43,"value":3034},{"type":37,"tag":52,"props":3476,"children":3478},{"className":3477},[],[3479],{"type":43,"value":3480},"\u002Farize-datasets",{"type":43,"value":3482}," to manage datasets within projects",{"type":37,"tag":77,"props":3484,"children":3485},{},[3486,3488,3494],{"type":43,"value":3487},"Visit ",{"type":37,"tag":3213,"props":3489,"children":3492},{"href":3490,"rel":3491},"https:\u002F\u002Fdocs.arize.com",[3217],[3493],{"type":43,"value":3490},{"type":43,"value":3495}," for full documentation",{"type":37,"tag":61,"props":3497,"children":3499},{"id":3498},"when-to-use-this-skill",[3500],{"type":43,"value":3501},"When to Use This Skill",{"type":37,"tag":46,"props":3503,"children":3504},{},[3505],{"type":43,"value":3506},"Use this skill when users want to:",{"type":37,"tag":158,"props":3508,"children":3509},{},[3510,3515,3520,3525,3530],{"type":37,"tag":77,"props":3511,"children":3512},{},[3513],{"type":43,"value":3514},"✅ List all projects in their Arize space",{"type":37,"tag":77,"props":3516,"children":3517},{},[3518],{"type":43,"value":3519},"✅ Get details about a specific project",{"type":37,"tag":77,"props":3521,"children":3522},{},[3523],{"type":43,"value":3524},"✅ Create a new project",{"type":37,"tag":77,"props":3526,"children":3527},{},[3528],{"type":43,"value":3529},"✅ Delete projects they no longer need",{"type":37,"tag":77,"props":3531,"children":3532},{},[3533],{"type":43,"value":3534},"✅ Work with projects across multiple environments\u002Fprofiles",{"type":37,"tag":46,"props":3536,"children":3537},{},[3538],{"type":37,"tag":152,"props":3539,"children":3540},{},[3541],{"type":43,"value":3542},"Don't use this skill for:",{"type":37,"tag":158,"props":3544,"children":3545},{},[3546,3558],{"type":37,"tag":77,"props":3547,"children":3548},{},[3549,3551,3556],{"type":43,"value":3550},"❌ Managing datasets (use ",{"type":37,"tag":52,"props":3552,"children":3554},{"className":3553},[],[3555],{"type":43,"value":3480},{"type":43,"value":3557}," instead)",{"type":37,"tag":77,"props":3559,"children":3560},{},[3561,3563,3569],{"type":43,"value":3562},"❌ Installing\u002Fconfiguring the CLI (use ",{"type":37,"tag":52,"props":3564,"children":3566},{"className":3565},[],[3567],{"type":43,"value":3568},"\u002Fsetup-arize-cli",{"type":43,"value":3557},{"type":37,"tag":3571,"props":3572,"children":3573},"style",{},[3574],{"type":43,"value":3575},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":3577,"total":3748},[3578,3597,3610,3622,3634,3645,3659,3669,3680,3696,3716,3726],{"slug":3579,"name":3579,"fn":3580,"description":3581,"org":3582,"tags":3583,"stars":3594,"repoUrl":3595,"updatedAt":3596},"annotate-spans","annotate LLM spans and traces","Write effective, consistent annotations on LLM\u002Fagent spans and traces, and coach the user on annotation practice. Load this whenever you are about to record structured feedback with the `batch_span_annotate` tool, or when the user asks how to annotate, label, score, or review spans\u002Ftraces, build a failure taxonomy, or set up human\u002FLLM review. Do NOT load for: pure analysis with no intent to save feedback (use debug-trace), latency or cost statistics, or prompt authoring (use playground).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3584,3587,3590,3591],{"name":3585,"slug":3586,"type":16},"Evals","evals",{"name":3588,"slug":3589,"type":16},"LLM","llm",{"name":14,"slug":15,"type":16},{"name":3592,"slug":3593,"type":16},"Tracing","tracing",10513,"https:\u002F\u002Fgithub.com\u002FArize-ai\u002Fphoenix","2026-07-12T08:08:14.140984",{"slug":3598,"name":3598,"fn":3599,"description":3600,"org":3601,"tags":3602,"stars":3594,"repoUrl":3595,"updatedAt":3609},"datasets","reason about Phoenix dataset structure","Understand what a Phoenix dataset is and reason well about its examples, outputs, splits, and how it feeds evaluators and experiments. Load this whenever a dataset is in view or the user asks what a dataset is, how splits work, what an output \"means\", or how datasets relate to experiments and evals. This skill governs the judgment; any tool descriptions govern the mechanics.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3603,3606,3608],{"name":3604,"slug":3605,"type":16},"Data Analysis","data-analysis",{"name":3607,"slug":3598,"type":16},"Datasets",{"name":3585,"slug":3586,"type":16},"2026-07-12T08:08:21.695457",{"slug":3611,"name":3611,"fn":3612,"description":3613,"org":3614,"tags":3615,"stars":3594,"repoUrl":3595,"updatedAt":3621},"debug-trace","diagnose failures using trace investigation","Diagnose failure modes by systematically investigating traces. Trigger when the user explicitly asks for cross-trace diagnosis: \"what's going wrong?\", \"were there errors?\", \"debug this\", \"where is my agent struggling?\". Do NOT trigger on: (1) advice questions (\"what should I do?\"), (2) statistical questions (\"what's the average latency?\"), (3) summarize requests, (4) trace filtering (\"show me traces with errors\"), (5) vague questions (\"is there a problem?\"), (6) unrelated requests.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3616,3619,3620],{"name":3617,"slug":3618,"type":16},"Debugging","debugging",{"name":14,"slug":15,"type":16},{"name":3592,"slug":3593,"type":16},"2026-07-12T08:08:10.44243",{"slug":3623,"name":3623,"fn":3624,"description":3625,"org":3626,"tags":3627,"stars":3594,"repoUrl":3595,"updatedAt":3633},"evaluators","author and refine Phoenix evaluators","Author or refine a Phoenix evaluator — code or LLM-as-a-judge — that scores a run's output. Trigger when the user wants to create a new evaluator, improve an existing one's logic or rubric, choose labels, or decide what to measure on a dataset or experiment. Do NOT trigger on: (1) manual prompt drafting (use `playground`), (2) running or comparing experiments themselves (use `experiments`), (3) cross-trace failure diagnosis with no evaluator in scope (use `debug-trace`).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3628,3629,3630],{"name":3585,"slug":3586,"type":16},{"name":3588,"slug":3589,"type":16},{"name":3631,"slug":3632,"type":16},"Testing","testing","2026-07-31T05:58:09.13624",{"slug":3635,"name":3635,"fn":3636,"description":3637,"org":3638,"tags":3639,"stars":3594,"repoUrl":3595,"updatedAt":3644},"experiments","run and compare dataset-backed experiments","Run, read, and compare dataset-backed experiments to find evidence that a prompt or pipeline is improving. Trigger when the user wants to iterate over a dataset with experiments, compare experiment runs, read experiment quality\u002Flatency\u002Fcost, or decide whether a change actually helped. Running a prompt over a dataset is implicitly an experiment — load this skill when dataset-backed work begins, before authoring evaluators for the experiment and before starting the recorded run, not only when reading results. Do NOT trigger on: (1) manual prompt drafting with no dataset-backed evaluation in scope (use `playground`), (2) authoring or refining an evaluator's logic or rubric (use `evaluators`), (3) cross-trace failure diagnosis with no experiment in scope (use `debug-trace`).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3640,3641,3642,3643],{"name":3607,"slug":3598,"type":16},{"name":3585,"slug":3586,"type":16},{"name":3588,"slug":3589,"type":16},{"name":3631,"slug":3632,"type":16},"2026-07-12T08:08:11.691477",{"slug":3646,"name":3646,"fn":3647,"description":3648,"org":3649,"tags":3650,"stars":3594,"repoUrl":3595,"updatedAt":3658},"phoenix-graphql","query Phoenix API with GraphQL","Write efficient GraphQL queries against the Phoenix API. Load this skill in two cases: (1) before composing any non-trivial GraphQL query yourself for data analysis (via the `phoenix-gql` bash command) — it contains schema entrypoints and patterns that eliminate the need for introspection; (2) when the user asks for help writing GraphQL queries for their own scripts, tools, or integrations against Phoenix — it covers the endpoint, authentication, and client examples.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3651,3654,3655],{"name":3652,"slug":3653,"type":16},"Analytics","analytics",{"name":3604,"slug":3605,"type":16},{"name":3656,"slug":3657,"type":16},"GraphQL","graphql","2026-07-12T08:08:17.163493",{"slug":3660,"name":3660,"fn":3661,"description":3662,"org":3663,"tags":3664,"stars":3594,"repoUrl":3595,"updatedAt":3668},"playground","author and iterate on prompts in Phoenix","Author, edit, or iterate on prompts in the Phoenix prompt playground, including running experiments over a dataset. Load before any playground tool call, including single-shot prompt rewrites.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3665,3666,3667],{"name":3585,"slug":3586,"type":16},{"name":3588,"slug":3589,"type":16},{"name":3631,"slug":3632,"type":16},"2026-07-12T08:08:12.920792",{"slug":3670,"name":3670,"fn":3671,"description":3672,"org":3673,"tags":3674,"stars":3594,"repoUrl":3595,"updatedAt":3679},"span-coding","analyze and code Phoenix spans","Open-code Phoenix spans with PXI-owned notes, recover those notes for axial coding, and promote stable categories into structured annotations. Load this when analyzing spans to discover failure patterns before a taxonomy exists.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3675,3676,3677,3678],{"name":3617,"slug":3618,"type":16},{"name":3588,"slug":3589,"type":16},{"name":14,"slug":15,"type":16},{"name":3592,"slug":3593,"type":16},"2026-07-12T08:08:19.597239",{"slug":3681,"name":3681,"fn":3682,"description":3683,"org":3684,"tags":3685,"stars":3693,"repoUrl":3694,"updatedAt":3695},"arize-admin","manage Arize enterprise user access","Manages Arize users, organizations, spaces, projects, roles, role bindings, resource restrictions, and API keys via the ax CLI. Use for enterprise admin workflows: inviting and offboarding users, onboarding new teams, creating custom roles for SAML\u002FSSO mappings, assigning roles to users, restricting project-level access, and managing service keys for multi-tenant architectures. Covers ax users, ax organizations, ax spaces, ax projects, ax roles, ax role-bindings, and ax api-keys.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3686,3687,3690],{"name":18,"slug":19,"type":16},{"name":3688,"slug":3689,"type":16},"Operations","operations",{"name":3691,"slug":3692,"type":16},"Permissions","permissions",38,"https:\u002F\u002Fgithub.com\u002FArize-ai\u002Farize-skills","2026-07-22T05:37:21.991338",{"slug":3697,"name":3697,"fn":3698,"description":3699,"org":3700,"tags":3701,"stars":3693,"repoUrl":3694,"updatedAt":3715},"arize-ai-provider-integration","manage Arize AI provider integrations","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.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3702,3705,3708,3711,3712],{"name":3703,"slug":3704,"type":16},"Anthropic","anthropic",{"name":3706,"slug":3707,"type":16},"Azure","azure",{"name":3709,"slug":3710,"type":16},"Integrations","integrations",{"name":3588,"slug":3589,"type":16},{"name":3713,"slug":3714,"type":16},"OpenAI","openai","2026-07-22T05:37:23.90468",{"slug":3717,"name":3717,"fn":3718,"description":3719,"org":3720,"tags":3721,"stars":3693,"repoUrl":3694,"updatedAt":3725},"arize-annotation","manage Arize annotation workflows","Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3722,3723,3724],{"name":3604,"slug":3605,"type":16},{"name":3588,"slug":3589,"type":16},{"name":14,"slug":15,"type":16},"2026-07-22T05:37:19.010776",{"slug":3727,"name":3727,"fn":3728,"description":3729,"org":3730,"tags":3731,"stars":3693,"repoUrl":3694,"updatedAt":3747},"arize-compliance-audit","audit AI agents for regulatory compliance","INVOKE THIS SKILL when auditing an AI agent or LLM app for regulatory compliance. Covers EU AI Act, GPAI Code of Practice, GDPR, NIST AI RMF, Colorado AI Act, HIPAA, and ISO 42001. Scans the codebase for compliance gaps, cross-references Arize instrumentation for audit trail coverage, and produces an actionable remediation checklist tailored to the selected frameworks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3732,3735,3738,3741,3744],{"name":3733,"slug":3734,"type":16},"Audit","audit",{"name":3736,"slug":3737,"type":16},"Compliance","compliance",{"name":3739,"slug":3740,"type":16},"GDPR","gdpr",{"name":3742,"slug":3743,"type":16},"Legal","legal",{"name":3745,"slug":3746,"type":16},"Security","security","2026-07-19T05:39:42.632738",23,{"items":3750,"total":284},[3751,3763],{"slug":3752,"name":3752,"fn":3753,"description":3754,"org":3755,"tags":3756,"stars":20,"repoUrl":21,"updatedAt":3762},"arize-datasets","manage datasets in Arize AI","Manage datasets in Arize AI using the ax CLI. Use when users want to list datasets, get dataset details, create new datasets, delete datasets, export dataset data, or work with dataset examples. Triggers on \"list datasets\", \"create dataset\", \"ax datasets\", \"export dataset\", \"delete dataset\", or any request about managing Arize datasets via CLI.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3757,3758,3761],{"name":18,"slug":19,"type":16},{"name":3759,"slug":3760,"type":16},"Data Engineering","data-engineering",{"name":3607,"slug":3598,"type":16},"2026-07-12T08:08:06.094977",{"slug":4,"name":4,"fn":5,"description":6,"org":3764,"tags":3765,"stars":20,"repoUrl":21,"updatedAt":22},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3766,3767],{"name":18,"slug":19,"type":16},{"name":14,"slug":15,"type":16}]