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agentic-workflows

This dispatcher helps with GitHub Agentic Workflows by identifying whether a request is about design, creation, configuration, updates, debugging, or upgrades. It selects the matching workflow prompt or skill file so the agent can follow task-specific guidance.

OriginalShow the original description

Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.

cli/cli46,749 stars(GitHub 46,749 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Design a GitHub Agentic Workflow from scratch
  • Create or configure a workflow engine
  • Update or debug an existing workflow
  • Upgrade workflows and address deprecations
  • Choose patterns for reports, skills, or token optimization

Overview

What it does

This skill identifies the type of request about GitHub Agentic Workflows and directs the agent to the matching prompt or skill file. It covers design, creating workflows, engine configuration, updating existing workflows, debugging, and upgrades. It also routes requests about shared components, report generation, test coverage, and token use optimization. After loading the relevant instructions, the agent follows them. If the request does not make the right prompt clear, the skill asks for clarification. It directs the agent to read only the files needed and specifies an additional skill to consult for work involving OTEL, OTLP, traces, observability backends, or telemetry analysis.

When it helps

Use it in a repository that uses GitHub Agentic Workflows when you want to identify the next steps from the task at hand. It helps distinguish a new workflow from a change to an existing one, an investigation of a problem, or a version upgrade, then connects the request to the relevant guidance.

Example requests

  • “Follow the steps for creating a new GitHub Agentic Workflow.”
  • “Investigate the issue in this workflow and guide me through a fix.”
  • “Upgrade the workflow and address deprecated items.”

Notes

The listed workflow files are expected to be loaded from github/gh-aw, not from the local repository. If .github/aw/instructions.md exists, apply it after loading the matching instructions; when it conflicts with them, follow the repository’s instructions.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
AGoodIt limits reading to needed files, asks when unclear, and gives repository instructions precedence.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt expects files from `github/gh-aw` but provides no retrieval or setup procedure.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 26, 2026. Treat it as a guide and read the original before installing.

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Files included (1)

  • SKILL.md4.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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.md exists, load it with @.github/aw/instructions.md after 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/compat.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/debug-model-engine-misconfiguration.md
  • .github/aw/debug-security-review.md
  • .github/aw/dependabot.md
  • .github/aw/deployment-status.md
  • .github/aw/designer-mappings.md
  • .github/aw/designer.md
  • .github/aw/drive-memory.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-tools.md
  • .github/aw/github-mcp-server.md
  • .github/aw/instructions.md
  • .github/aw/intent.md
  • .github/aw/jobs.md
  • .github/aw/ledger.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/playwright.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/work-queue.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
  • Add skills or agent plugins requested by the user (skills: / plugins: frontmatter, never on-the-fly installs): .github/aw/skills.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.

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