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Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | agentic-workflows |
| description | Route gh-aw workflow design/create/debug/upgrade requests to the right prompts. |
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-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/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.
Re-record the ai-projects live test suite, push only the recordings whose playback passes to the Azure/azure-sdk-assets repo, and open a PR for the updated assets.json. Use when test recordings are stale, a recorded test fails in playback in CI, or new recorded tests need fresh recordings. Wraps TEST_MODE=record / TEST_MODE=playback runs, dev-tool test-proxy push, and a single-file assets.json PR via the gh CLI.
Migrate Azure/azure-sdk-for-js to a user-specified minimum Node.js version while preserving any existing references above the target.
**UTILITY SKILL** — Must be consulted for SDK development workflow tasks. Routes agents to the correct tools and documentation for building, testing, linting, formatting, provisioning, deploying, and other package development tasks. WHEN: "build package", "run tests", "lint code", "format code", "run checks", "prepare samples", "publish samples", "apply customization", "run migrations", "bump version", "extract API", "update snippets", "check API compatibility", "manage test recordings", "provision test resources", "deploy test resources", "create test resources", "set up test environment", "authenticate to Azure", "login to Azure", "release package", "increment version", "troubleshoot CI", "fix CI failure", "CredScan", "credential scan", "push recordings", "asset sync", "update recordings".
Domain knowledge for Azure AI Content Understanding. Use this skill to answer questions about Content Understanding concepts, analyzers, field schemas, API operations, and JavaScript SDK usage. Always consult official documentation before answering.
Run a specific sample for the Azure AI Content Understanding JavaScript SDK. Use when users want to run a particular sample like analyzeUrl.js or analyzeInvoice.js.
Guide SDK users through setting up their JavaScript / Node.js environment for Azure AI Content Understanding. Use this skill when users need help installing the SDK, configuring Azure resources, deploying required models, setting environment variables, or running samples.
