Azure SDK for .NET is a repository containing the actively developed C# libraries that applications use to work with Azure services. It is for .NET developers building software that connects to Azure storage, management, and other cloud services.
Borrowing it
Nothing to install: this file belongs to Azure/azure-sdk-for-net. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Azure/azure-sdk-for-net/main/.github/skills/agentic-workflows/SKILL.mdgit clone --depth 1 https://github.com/Azure/azure-sdk-for-netWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/azure/azure-sdk-for-net/agentic-workflows)<a href="https://agentmods.dev/skills/azure/azure-sdk-for-net/agentic-workflows"><img src="https://agentmods.dev/badge/skills/azure/azure-sdk-for-net/agentic-workflows.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.01241 |
| Opus 5 | $0.00010 | $0.00620 |
| Sonnet 5 | $0.00004 | $0.00248 |
| Haiku 4.5 | $0.00002 | $0.00124 |
Grade A, and why
agentic-workflows scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
98% identical to agentic-workflows — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Workflows Router
Use this skill when a user asks to design, create, update, debug, or upgrade GitHub Agentic Workflows in this repository.
This skill is a dispatcher: identify the task type, load the matching workflow prompt/skill file, and follow it directly. Keep responses concise and ask a clarifying question if the correct prompt is unclear.
Repository overlay (optional):
- If
.github/aw/instructions.mdexists, load it with@.github/aw/instructions.mdafter loading the matched prompt/skill. - Precedence: repository overlay instructions override upstream defaults when they conflict.
Read only the files you need:
Load these files from github/gh-aw (they are not available locally).
.github/aw/action-container-substitutions.md.github/aw/agent-runtime-instructions.md.github/aw/agentic-chat.md.github/aw/agentic-workflows-mcp.md.github/aw/asciicharts.md.github/aw/campaign.md.github/aw/charts-trending.md.github/aw/charts.md.github/aw/cli-commands.md.github/aw/configure-agentic-engine.md.github/aw/context.md.github/aw/create-agentic-workflow-trigger-details.md.github/aw/create-agentic-workflow.md.github/aw/create-shared-agentic-workflow.md.github/aw/debug-agentic-workflow.md.github/aw/dependabot.md.github/aw/deployment-status.md.github/aw/designer-mappings.md.github/aw/designer.md.github/aw/enclaves.md.github/aw/evals.md.github/aw/experiments.md.github/aw/github-agentic-workflows.md.github/aw/github-mcp-server-pagination.md.github/aw/github-mcp-server.md.github/aw/instructions.md.github/aw/linter-workflows.md.github/aw/llms.md.github/aw/loop.md.github/aw/lsp.md.github/aw/maintainer.md.github/aw/mcp-clis.md.github/aw/memory-stateful-patterns.md.github/aw/memory.md.github/aw/messages.md.github/aw/multi-agent-research.md.github/aw/network.md.github/aw/optimize-agentic-workflow.md.github/aw/patterns.md.github/aw/pr-reviewer.md.github/aw/release-workflow.md.github/aw/report.md.github/aw/reuse.md.github/aw/safe-outputs-automation.md.github/aw/safe-outputs-content.md.github/aw/safe-outputs-management.md.github/aw/safe-outputs-runtime.md.github/aw/safe-outputs.md.github/aw/serena-tool.md.github/aw/shared-safe-jobs.md.github/aw/skills.md.github/aw/subagents.md.github/aw/syntax-agentic.md.github/aw/syntax-core.md.github/aw/syntax-engine.md.github/aw/syntax-tools-imports.md.github/aw/syntax.md.github/aw/test-coverage.md.github/aw/test-expression.md.github/aw/token-optimization-caching-budgets.md.github/aw/token-optimization-observability.md.github/aw/token-optimization.md.github/aw/triggers.md.github/aw/update-agentic-workflow.md.github/aw/upgrade-agentic-workflows.md.github/aw/visual-regression.md.github/aw/workflow-constraints.md.github/aw/workflow-editing.md.github/aw/workflow-patterns.md
After loading the matching workflow prompt or skill, follow it directly:
- Design workflows from scratch via interview:
.github/aw/designer.md - Create new workflows:
.github/aw/create-agentic-workflow.md - Configure or add declarative engines:
.github/aw/configure-agentic-engine.md - Update existing workflows:
.github/aw/update-agentic-workflow.md - Debug, audit, or investigate workflows:
.github/aw/debug-agentic-workflow.md - Upgrade workflows and fix deprecations:
.github/aw/upgrade-agentic-workflows.md - Create shared components or MCP wrappers:
.github/aw/create-shared-agentic-workflow.md - Create report-generating workflows:
.github/aw/report.md - Fix Dependabot manifest PRs:
.github/aw/dependabot.md - Analyze coverage workflows:
.github/aw/test-coverage.md - Render compact markdown charts:
.github/aw/asciicharts.md - Map CLI commands to MCP usage:
.github/aw/cli-commands.md - Choose workflow architecture and patterns:
.github/aw/patterns.md - Optimize token usage and cost:
.github/aw/token-optimization.md - Design long-running multi-agent research workflows:
.github/aw/multi-agent-research.md
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 106 lines · 20 tokens per session scan A c0b50f76bb6d
agentic-workflows is a skill published in the GitHub repository Azure/azure-sdk-for-net (6,049 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 1,241 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to agentic-workflows, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
cosmos-design-struct
Enforce consistent struct design conventions across sdk/cosmos crates. Validates visibility modifiers, field privacy, #[nonexhaustive] usage, and construction API patterns (Default/new with with setters, or optional separate builders with builder()/build()), and construction correctness on public structs. Can auto-fix…
cosmos-pre-commit-validation
Run pre-commit checks for a specific set of crates. Use this when validating changes under sdk/cosmos before committing or during code review.
cu-sdk-sample-run
Run a specific sample for the Azure AI Content Understanding Java SDK. Use when users want to run a particular sample like Sample02AnalyzeUrl or Sample03AnalyzeInvoice.
tsp-type-override
Override TypeSpec types with Java-native types (e.g. OffsetDateTime, DayOfWeek) using @@alternateType in a client.java.tsp file. Use when a TypeSpec model field has an incorrect or too-generic type that should map to a specific Java type.
union-type-wrappers
Add typed getters and setters over BinaryData properties that represent TypeSpec union types in generated Java models. Use when generated classes expose BinaryData for union-typed fields and you need ergonomic, type-safe accessors instead.
dedup-openai
Suppress generated Java classes that duplicate openai-java models, using @@alternateType in TypeSpec and manual serialization bridges. Use after dup-classes has identified actionable duplicates.