deploy-model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Install with Tessl CLI
npx tessl i github:microsoft/azure-skills --skill deploy-model94
Quality
92%
Does it follow best practices?
Impact
96%
2.66xAverage score across 3 eval scenarios
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that hits all the key criteria. It provides specific capabilities, comprehensive trigger terms users would naturally use, explicit 'USE FOR' and 'DO NOT USE FOR' clauses that clearly define scope, and distinguishes itself from related skills by naming alternatives. The description is well-structured and actionable for skill selection.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'quick preset deployments', 'fully customized deployments (version/SKU/capacity/RAI policy)', and 'capacity discovery across regions and projects'. The parenthetical details add concrete specificity. | 3 / 3 |
Completeness | Clearly answers both what (unified deployment skill with routing, handles presets/custom/capacity discovery) AND when (explicit 'USE FOR:' clause with trigger terms, plus helpful 'DO NOT USE FOR:' exclusions that clarify boundaries). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural user terms: 'deploy model', 'deploy gpt', 'create deployment', 'set up model', 'provision model', 'find capacity', 'check model availability', 'where can I deploy', 'best region for model'. These are phrases users would naturally say. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with explicit boundary-setting via 'DO NOT USE FOR:' clause that redirects to specific alternative tools (foundry_models_deployments_list, agent/create, project/create). Clear niche around Azure OpenAI deployment specifically. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured routing skill that effectively serves as an entry point for model deployment workflows. It excels at workflow clarity with explicit validation checkpoints and progressive disclosure through clean sub-skill references. Minor verbosity in the routing logic (both flowchart and table) prevents a perfect conciseness score, but overall the content is actionable and well-organized.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some redundancy (e.g., the routing table and flowchart convey similar information). The project selection and validation sections are thorough but could be tightened slightly. | 2 / 3 |
Actionability | Provides concrete, executable CLI commands for model catalog and quota checks. Clear routing logic with specific keyword triggers. The confirmation step includes copy-paste ready output formats. | 3 / 3 |
Workflow Clarity | Excellent multi-step workflow with clear sequencing: intent detection → project selection → validation → deployment. Explicit validation checkpoints before deployment and clear 'never deploy without confirmation' guardrails. | 3 / 3 |
Progressive Disclosure | Perfect structure as a routing skill: concise overview with clear table pointing to three sub-skills. References are one level deep, well-signaled with relative paths, and appropriately defers quota details to a separate skill. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Reviewed
Table of Contents
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