agentmods.dev

agentic-workflows

A routing guide for GitHub Agentic Workflows, which are GitHub workflows that use AI agents to perform development tasks.

In plain words
What is it for?
Use it when a task involves gh-aw workflow files, such as creating a workflow, fixing one, updating it, or choosing the correct workflow prompt.
Why use it?
It helps select the right detailed instructions for designing, creating, debugging, or upgrading one of these workflows.

Skill for Claude CodeCodex

2.6k +1 today A scan 20 tokens copy · 95% MIT
View the source file Azure/azure-sdk-for-java
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/azure/azure-sdk-for-java/agentic-workflows
Any agent
npx skills add Azure/azure-sdk-for-java --skill agentic-workflows
Clone the repo
git clone --depth 1 https://github.com/Azure/azure-sdk-for-java

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 990 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.00990
Opus 5 $0.00010 $0.00495
Sonnet 5 $0.00004 $0.00198
Haiku 4.5 $0.00002 $0.00099

Measured 2d ago against content hash e9a654c13a1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

Origin

This is a copy

95% identical to agentic-workflows — 27 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.

.github/skills/agentic-workflows/SKILL.md · 85 lines

What it actually says

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.

Read only the files you need: Load these files from github/gh-aw (they are not available locally).

  • .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/context.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/experiments.md

  • .github/aw/github-agentic-workflows.md

  • .github/aw/github-mcp-server.md

  • .github/aw/instructions.md

  • .github/aw/llms.md

  • .github/aw/loop.md

  • .github/aw/lsp.md

  • .github/aw/mcp-clis.md

  • .github/aw/memory-stateful-patterns.md

  • .github/aw/memory.md

  • .github/aw/messages.md

  • .github/aw/network.md

  • .github/aw/optimize-agentic-workflow.md

  • .github/aw/patterns.md

  • .github/aw/pr-reviewer.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-tools-imports.md

  • .github/aw/syntax.md

  • .github/aw/test-coverage.md

  • .github/aw/test-expression.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

  • .github/skills/agentic-workflow-designer/SKILL.md After loading the matching workflow prompt or skill, follow it directly:

  • Design workflows from scratch via interview: skills/agentic-workflow-designer/SKILL.md

  • Create new workflows: .github/aw/create-agentic-workflow.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

When the task involves OTEL, OTLP, traces, observability backends, or telemetry-driven analysis, also read and follow skills/otel-queries/SKILL.md after loading the matching workflow prompt or skill.

Changes

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.

  1. 2d ago First seen · 85 lines · 20 tokens per session scan A e9a654c13a1c

Subscribe to this mod's changes

agentic-workflows is a skill published in the GitHub repository Azure/azure-sdk-for-java (2,565 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 990 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to agentic-workflows, differing in 27 lines, and is treated as a copy.

DebuggingProductivityazureazure-resourcesazure-sdkazure-servicesmedia
Related

Other skills, from other repositories

dpg-migration

Migration logic for Azure SDK for .NET data-plane libraries migrating from AutoRest/Swagger to TypeSpec-based generation. Uses MCP tools from the generator-agent server for automated deterministic fixes.

Azure/azure-sdk-for-net · 41 tokens

csharp-azure-spector-coverage-gaps

Discovers and implements gaps in Spector test coverage for the Azure C# HTTP client emitter. Use when asked to find missing Spector scenarios, add Spector test coverage, or implement a specific Spector spec for the Azure C# emitter. Can also compare coverage between the Azure dashboard and the Standard (TypeSpec core)…

Azure/azure-sdk-for-net · 78 tokens

auto-build-repair

Headless, bounded repair of custom-code build failures in an already-generated Azure SDK PR. Thin wrapper over the shared azure-sdk-mcp:azsdkcustomizedcodeupdate engine in custom-code-only scope (editScope: CustomCode); the skill owns the iterate-until-green loop, capped by a per-language maxIterations read from…

Azure/azure-sdk-for-net · 149 tokens

azure-sdk-mgmt-pr-review

Review Azure SDK management-plane pull requests, check naming conventions, API compatibility, and code quality.

Azure/azure-sdk-for-net · 26 tokens

mgmt-review-comment-resolution

Resolve review comments on Azure management-plane .NET SDK PRs. Handles renaming types/properties, changing property types, and other API surface adjustments by updating TypeSpec client.tsp and regenerating.

Azure/azure-sdk-for-net · 46 tokens

mitigate-breaking-changes

Patterns and techniques for mitigating breaking changes during Azure management-plane SDK migration from Swagger/AutoRest to TypeSpec. Covers SDK-side customizations (partial classes, CodeGenType, CodeGenSuppress) and TypeSpec decorator customizations (clientName, access, markAsPageable, alternateType…

Azure/azure-sdk-for-net · 68 tokens