
agentic-workflows
Route gh-aw design, creation, diagnosis, patching, active debugging, and upgrade requests to the right strategies.
- Installs
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/github/gh-aw --skill agentic-workflows- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agentic-workflows automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
For debugging sessions needing CLI setup or run-URL scoping, first load
https://raw.githubusercontent.com/github/gh-aw/main/.github/aw/debug-bootstrap.md; it bootstraps
the same shared strategy used by the debugging routes below.
Debugging, incident, health, and failure-related optimization requests use the
bootstrap's intent routing before generic update, upgrade, or optimization routes,
even when the CLI is installed. Preserve the supplied guidance repository/ref
for all debugging links and public raw fallbacks; URLs showing main below are
defaults only when no guidance revision is supplied. Reuse already-loaded guides.
The intent index is .github/aw/debug-scenarios.md; load only the selected
specialized route, not every debugging reference.
Repository overlay (optional):
- Load the target repository's
.github/aw/instructions.md, if present, after the matched prompt/skill. Use@.github/aw/instructions.mdonly in a matching checkout; do not substitute a guidance-repository overlay. - Precedence: repository overlay instructions override upstream defaults when they conflict.
Read only the files you need:
Use a local guidance checkout only when its repository/ref matches the requested guidance; otherwise use the resolved guidance repository/ref (default github/gh-aw).
If GitHub API, gh api, or GitHub MCP downloads return HTTP 403 (including a token SAML-authorized for a different organization), do not retry with the same token. Fetch the public file without authentication from https://raw.githubusercontent.com/github/gh-aw/main/<path> instead, preserving its repository-relative path (including .github/). For example: curl --fail --silent --show-error --location 'https://raw.githubusercontent.com/github/gh-aw/main/.github/aw/create-agentic-workflow.md'. Use the same fallback for referenced instructions and SKILL.md files; never send an Authorization header or token to the raw URL. If the public download fails, report that error rather than proceeding without the required instructions. This fallback is for public github/gh-aw content only, not private or enterprise repositories.
.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/analyzing-runs.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-bootstrap.md.github/aw/debug-compilation.md.github/aw/debug-live-testing.md.github/aw/debug-model-engine-misconfiguration.md.github/aw/debug-playbook.md.github/aw/debug-scenarios.md.github/aw/debug-security-review.md.github/aw/debug-workflow-evidence.md.github/aw/debug-workflow-health.md.github/aw/dependabot.md.github/aw/deployment-status.md.github/aw/designer-mappings.md.github/aw/designer.md.github/aw/documentation-workflows.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-checkout.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 - Diagnose, patch, audit, or actively debug workflows:
.github/aw/debug-agentic-workflow.md(local-first strategy, evidence triage and live gates) - Analyze existing runs, logs, or recurring failures:
.github/aw/analyzing-runs.md. General repository-wide debugging or optimization requests start here with failure clustering before selecting a workflow. - AWF model/endpoint 400s, silent cross-family sub-agent failures,
model: autofailures, install-step 404s after a version pin, or questions about version fields: go directly to.github/aw/debug-agentic-workflow.md#model-and-engine-misconfigurationbefore suggesting model changes. - 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 - Design, deploy, inspect or recover a Git-backed work queue:
.github/aw/work-queue.md - Optimize token usage and cost:
.github/aw/token-optimization.md - Advanced cost controls without native settings (custom AIC allowances by server size or shared organization budget policies): read
docs/src/content/docs/reference/cost-management.md#configure-advanced-cost-controls-with-admission(published guidance). Explain the external authority requirement and cooperative limits; do not invent frontmatter fields or promise hard caps, reservations, or mid-run cancellation. - 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.
When creating, updating, diagnosing or upgrading a workflow that uses tools.work-queue, also load .github/aw/work-queue.md after the primary prompt. Load deployment docs, operator reference or specification only when that task needs them.
FAQ
What does the agentic-workflows skill do?
Route gh-aw design, creation, diagnosis, patching, active debugging, and upgrade requests to the right strategies.
How do I install agentic-workflows?
Run npx skills add https://github.com/github/gh-aw --skill agentic-workflows in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agentic-workflows/ (personal) or .claude/skills/agentic-workflows/ (project).
Which AI agents can use agentic-workflows?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agentic-workflows safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agentic-workflows?
It is published by github in github/gh-aw, and it is an official skill from the maker of the technology it covers. It has 67 recorded installs.
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