メニュー
Iteratively improve skill frontmatter to achieve good routing test coverage. WHEN: run sensei, sensei help, improve skill routing
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | sensei |
| description | Iteratively improve skill frontmatter to achieve good routing test coverage. WHEN: run sensei, sensei help, improve skill routing |
| license | MIT |
| metadata | {"author":"Microsoft","version":"1.0.6"} |
When user says "sensei help" or asks how to use sensei, show this:
╔══════════════════════════════════════════════════════════════════╗
║ SENSEI - Skill Frontmatter Compliance Improver ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ USAGE: ║
║ Run sensei on <skill-name> # Single skill ║
║ Run sensei on <skill1>, <skill2>, ... # Multiple skills ║
║ Run sensei on all skills # All skills ║
║ ║
║ EXAMPLES: ║
║ Run sensei on appinsights-instrumentation ║
║ Run sensei on azure-ai, azure-compute ║
║ ║
║ WHAT IT DOES: ║
║ 1. READ - Load skill's SKILL.md and tests ║
║ 2. VERIFY - Compare skill frontmatter with convention ║
║ 3. SCAFFOLD - Create tests from frontmatter if missing ║
║ 4. IMPROVE - Add WHEN: triggers ║
║ 5. TEST - Run tests, fix if needed ║
║ 6. SUMMARY - Show before/after with suggestions ║
║ 7. PROMPT - Ask: Commit, Create Issue, or Skip? ║
║ 8. REPEAT - Until routing tests pass ║
╚══════════════════════════════════════════════════════════════════╝
For each skill, execute this loop until the frontmatter aligns with convention, have thorough routing tests AND routing tests pass:
plugin/skills/{skill-name}/SKILL.md, and vally eval suites in evals/{skill-name}/*.yaml.evals/{skill-name}/ doesn't exist, follow instructions in vally-eval skill to scaffold a set of routing tests. The routing tests test if the skill can be invoked for target user prompts. Generate user prompts that match the target scenario of the skill's description.vally-eval skill to run the routing tests. If there are failed tests, suggest fixes.plugin/skills/ - these are the Azure skills used by Copilot.github/skills/ should be left as isAzure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, can't connect / RDP / SSH, refused, black screen, reset password, reach VM, port 3389, NSG, security, Linux, troubleshoot, troubleshooting, connectivity, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus / compute_vm_list-images / compute_vm_check-quota.
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
Guidelines for writing Agent Skills that comply with the agentskills.io specification. WHEN: "create a skill", "new skill", "write a skill", "skill template", "skill structure", "review skill", "skill PR", "skill compliance", "SKILL.md format", "skill frontmatter", "skill best practices".
Author, validate, and run Vally eval.yaml evaluation suites for agent skills. TRIGGERS: create eval, write eval, add eval, run eval, validate eval, vally eval, eval.yaml, add stimulus, map test to eval, migrate test to eval, eval graders, eval scoring, add eval to CI.
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.