Create azure agent
Skill richfrem/agent-plugins-skills/plugins/agent-scaffolders/skills/create-azure-agent
Deploys a skill as an Azure AI Foundry hosted agent. NOT for Docker runtime skills (use `create-docker-skill`) and NOT for MCP server integrations (use `create-mcp-integration`).From its SKILL.md
npx -y skills add richfrem/agent-plugins-skills --skill create-azure-agentAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.6 KB, 303 tokens by cl100k_base, as published. Nobody here has run it
Follow the create-azure-agent skill workflow to generate Azure AI Foundry deployment
wrappers for an existing agent skill.
Inputs
$ARGUMENTS— optional path to the skill directory to deploy. Omit to start with discovery.
Steps
- If
$ARGUMENTSprovides a skill directory, resolve and validate the path - Follow the create-azure-agent phased workflow: confirm the target skill, gather Azure
configuration (subscription, resource group, region, naming preferences), then run
scaffold_azure_agent.pyto generate Bicep templates and the Python Azure AI Projects SDK deployment wrapper - Summarize generated files in the skill's
azure_deployment/directory - Instruct on reviewing
.bicepparameters and runningaz deployment group create
Output
azure_deployment/azure_agent.py (Azure AI Projects SDK orchestration script) and
azure_deployment/main.bicep (Cosmos DB, AI Search, and Foundry Project infrastructure).
Edge Cases
- If
$ARGUMENTSis empty: ask for the target skill directory before proceeding - If Azure credentials are not configured: instruct user to run
az loginfirst - Azure AI Foundry enforces a 128-tool limit — scaffold generates a focused worker agent
- Offer to run
/agent-scaffolders:audit-pluginto validate the skill before deploying
What ships with it: 81 files
7.6 KB alongside SKILL.md, 8 of them executable
evals/
- evals.json883 B
- results.tsv417 B
references/
- acceptance-criteria.md42 B
- fallback-tree.md36 B
- hitl-interaction-design.md46 B
- pattern-decision-matrix.md46 B
- patterns/action-forcing-output-with-deadline-attribution.md82 B
- patterns/adversarial-objectivity-constraint.md69 B
- patterns/anti-pattern-vaccination.md59 B
- patterns/anti-symptom-triage.md54 B
- patterns/artifact-embedded-execution-audit-trail.md74 B
- patterns/artifact-generation-xss-compliance-gate.md74 B
- patterns/artifact-lifecycle.md53 B
- patterns/artifact-state-interrogative-routing.md71 B
- patterns/asynchronous-benchmark-metric-capture.md72 B
- patterns/audience-segmented-information-filtering.md75 B
- patterns/category-calibrated-benchmark-anchoring.md74 B
- patterns/category-semantic-deferred-tool-binding.md74 B
- patterns/chained-command-invocation.md61 B
- patterns/chained-commands.md51 B
- patterns/client-side-compute-sandbox-constraint.md73 B
- patterns/complexity-tiered-output.md59 B
- patterns/conditional-step-inclusion.md61 B
- patterns/connector-placeholders.md57 B
- patterns/cyclical-state-propagation-contract.md70 B
- patterns/delegated-constraint-verification-loop.md73 B
- patterns/dual-mode-degradation.md56 B
- patterns/dual-mode-meta-skill.md55 B
- patterns/dual-register-communication-enforcement.md74 B
- patterns/dynamic-specification-fetching.md65 B
- patterns/embedded-deterministic-scoring-formula.md73 B
- patterns/escalation-taxonomy.md54 B
- patterns/explicit-seed-anchored-determinism.md69 B
- patterns/graduated-autonomy.md53 B
- patterns/graduated-source-attributed-elicitation.md74 B
- patterns/highly-procedural-fallback-trees.md67 B
- patterns/iteration-directory-isolation.md64 B
- patterns/lifecycle-aware-knowledge.md60 B
- acceptance-criteria.md385 B
- fallback-tree.md1.4 KB
41 more files not listed here. See all 81 in the repository.