// Trigger this skill when the user wants to start an asynchronous PR review, run background checks on a PR, or check the status of a previously started async PR review.
Sync delorenj/hermes-agent fork with NousResearch/hermes-agent upstream while preserving fork-only paths, the agents/hermes/pm/runtime submodule, and the 3 fork-side code tweaks. Use when running /hermes-sync, when the user says "sync the fork", or when you need to pull in upstream hermes-agent commits without losing local customization.
Facilitates a single point of ingress for any and all tasks. Used when pulling a new `inbox` task from the 33god plane workspace, or any prompt that explicitly or implicitly describes a non-trivial task. Triggered by `add a feature`, `task.inbox.new` event.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Framework for self-sustaining AI agent teams with self-service work queues, role ownership, continuous discovery, and proactive operation via heartbeat loops.
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
Entry point for ASCII CLI banners. Choose the Python built-in font skill or the figlet.js/FIGfont skill depending on needs.
| name | async-pr-review |
| description | Trigger this skill when the user wants to start an asynchronous PR review, run background checks on a PR, or check the status of a previously started async PR review. |
| pipeline-status | ["new"] |
This skill provides a set of tools to asynchronously review a Pull Request. It will create a background job to run the project's preflight checks, execute Gemini-powered test plans, and perform a comprehensive code review using custom prompts.
This skill is designed to showcase an advanced "Agentic Asynchronous Pattern":
run_shell_command tool with is_background: true), a standard bash background job cannot perform LLM inference. To conduct AI-driven code reviews and test generation in the background, the shell script must invoke the gemini executable headlessly using -p. This offloads the AI tasks to independent worker agents.git rev-parse --show-toplevel to automatically resolve the root of the user's current project..gemini/tmp/async-reviews/pr-<number>. This prevents git lock conflicts and namespace pollution.check-async-review.sh): The check script outputs clean JSON/text statuses for the main agent to parse. The interactive agent itself synthesizes the final assessment dynamically from the generated log files.If the user wants to start a new async PR review:
async-review.sh script, passing the PR number as the first argument. Be sure to run it with the is_background flag set to true to ensure it immediately detaches.
.gemini/skills/async-pr-review/scripts/async-review.sh <PR_NUMBER>
If the user wants to check the status or view the final assessment of a previously started async review:
check-async-review.sh script, passing the PR number as the first argument:
.gemini/skills/async-pr-review/scripts/check-async-review.sh <PR_NUMBER>
STATUS: IN_PROGRESS, tell the user which tasks are still running.STATUS: COMPLETE, use your file reading tools (read_file) to retrieve the contents of final-assessment.md, review.md, pr-diff.diff, npm-test.log, and test-execution.log files from the LOG_DIR specified in the output.