These agents facilitate team communication and remind us that work can be fun:

- **[Daily Team Status](https://github.com/githubnext/agentics/blob/main/workflows/daily-team-status.md?plain=1)** - Shares team mood and status updates - **22 issues**, **17 discussions** (plus 2 causal chain PRs!)

- **[Daily Repo Chronicle](https://github.com/githubnext/agentics/blob/main/workflows/daily-repo-chronicle.md?plain=1)** - Narrates the day's activity like a storyteller - **6 chronicle discussions**

The Poem Bot started as a whimsy in our Copilot for PRs project in 2022. Someone said "wouldn't it be funny if we had an agent that writes poems about our code?" and then we built it. Poem Bot responds to `/poem-bot` commands with creative verses about code, adding a touch of whimsy to the development workflow. We learned that AI agents don't have to be all business - they can build culture and create moments of joy.

**Daily News:**

**Poem Bot:**

**Weekly Issue Summary:**

**Daily Repo Chronicle:**

- **[Daily Documentation Updater](https://github.com/githubnext/agentics/blob/main/workflows/daily-doc-updater.md?plain=1)** - Reviews and updates documentation to ensure accuracy and completeness - **57 merged PRs out of 59 proposed (96% merge rate)**

- **[Glossary Maintainer](https://github.com/githubnext/agentics/blob/main/workflows/glossary-maintainer.md?plain=1)** - Keeps glossary synchronized with codebase - **10 merged PRs out of 10 proposed (100% merge rate)**

- **[Documentation Unbloat](https://github.com/githubnext/agentics/blob/main/workflows/unbloat-docs.md?plain=1)** - Reviews and simplifies documentation by reducing verbosity - **88 merged PRs out of 103 proposed (85% merge rate)**

- **[Multi-device Docs Tester](https://github.com/githubnext/agentics/blob/main/workflows/daily-multi-device-docs-tester.md?plain=1)** - Tests documentation site across mobile, tablet, and desktop devices - **2 merged PRs out of 2 proposed (100% merge rate)**

Documentation is where we challenged conventional wisdom. Can AI agents write *good* documentation?

**Documentation Noob Tester:**

**Slide Deck Maintainer:**

**Multi-device Docs Tester:**

**Blog Auditor:**

Then edit and remix the workflow specifications to meet your needs, regenerate the lock file using `gh aw compile`, and push to your repository. See our [Quick Start](https://github.github.com/gh-aw/setup/quick-start/) for further installation and setup instructions.

- **[Q](https://github.com/githubnext/agentics/blob/main/workflows/q.md?plain=1)** - Workflow optimizer that investigates performance and creates PRs - **69 merged PRs out of 88 proposed (78% merge rate)**

- **[Grumpy Reviewer](https://github.com/githubnext/agentics/blob/main/workflows/grumpy-reviewer.md?plain=1)** - Performs critical code reviews with personality - creates issues for downstream agents

Interactive workflows changed how we think about agent invocation. Instead of everything running on a schedule, these respond to slash commands and reactions - `/q` summons the workflow optimizer, a 🚀 reaction triggers analysis. Q (yes, named after the James Bond quartermaster) became our go-to troubleshooter - it has contributed **69 merged PRs out of 88 proposed (78% merge rate)**, responding to commands and investigating workflow issues on demand. Recent examples include [fixing the daily-fact workflow action-tag](https://github.com/github/gh-aw/pull/14127) and [configuring PR triage reports with 1-day expiration](https://github.com/github/gh-aw/pull/13903).

**Workflow Generator:**

Then edit and remix the workflow specifications to meet your needs, regenerate the lock file using `gh aw compile`, and push to your repository. See our [Quick Start](https://github.github.com/gh-aw/setup/quick-start/) for further installation and setup instructions.

These agents enhance issue and pull request workflows:

- **[Issue Arborist](https://github.com/githubnext/agentics/blob/main/workflows/issue-arborist.md?plain=1)** - Links related issues as sub-issues - **77 discussion reports** and **18 parent issues** created

- **[Sub Issue Closer](https://github.com/githubnext/agentics/blob/main/workflows/sub-issue-closer.md?plain=1)** - Closes completed sub-issues automatically - **orchestrator workflow**

The Issue Arborist is an **organizational workflow** that has created **77 discussion reports** (titled "[Issue Arborist] Issue Arborist Report") and **18 parent issues** to group related sub-issues. It keeps the issue tracker organized by automatically linking related issues, building a dependency tree we'd never maintain manually. For example, [#12037](https://github.com/github/gh-aw/issues/12037) grouped engine documentation updates.

**Issue Monster:**

**Mergefest:**

**Sub Issue Closer:**

These are our diligent caretakers - the agents that spot problems before they become bigger problems:

- **[CI Doctor](https://github.com/githubnext/agentics/blob/main/workflows/ci-doctor.md?plain=1)** - Investigates failed workflows and opens diagnostic issues - **9 merged PRs out of 13 proposed (69% merge rate)**

The CI Doctor (also known as "CI Failure Doctor") was one of our most important workflows. Instead of drowning in CI failure notifications, we now get *timely*, *investigated* failures with actual diagnostic insights. The agent doesn't just tell us something broke - it analyzes logs, identifies patterns, searches for similar past issues, and even suggests fixes - even before the human has read the failure notification. CI Failure Doctor has contributed **9 merged PRs out of 13 proposed (69% merge rate)**, including fixes like [adding Go module download pre-flight checks](https://github.com/github/gh-aw/pull/13740) and [adding retry logic to prevent proxy 403 failures](https://github.com/github/gh-aw/pull/13155). We learned that agents excel at the tedious investigation work that humans find draining.

**Schema Consistency Checker:**

**Breaking Change Checker:**

Then edit and remix the workflow specifications to meet your needs, regenerate the lock file using `gh aw compile`, and push to your repository. See our [Quick Start](https://github.github.com/gh-aw/setup/quick-start/) for further installation and setup instructions.

These agents are our security guards, keeping watch and enforcing the rules:

- **[Daily Malicious Code Scan](https://github.com/githubnext/agentics/blob/main/workflows/daily-malicious-code-scan.md?plain=1)** - Reviews recent code changes for suspicious patterns

Security Compliance manages vulnerability remediation campaigns with deadline tracking, ensuring security issues are addressed within defined SLAs - perfect for those "audit in 3 weeks" panic moments.

**Security Compliance:**

**Firewall:**

**Daily Secrets Analysis:**

**Daily Malicious Code Scan:**

**Static Analysis Report:**

Then edit and remix the workflow specifications to meet your needs, regenerate the lock file using `gh aw compile`, and push to your repository. See our [Quick Start](https://github.github.com/gh-aw/setup/quick-start/) for further installation and setup instructions.