bug-fix-agent
Bug Fix Agent - Automated bug fixing with review loopback and auto-commit to main branch. Fixes bugs, tests them, reviews quality, and commits when quality gates pass.
Найдите подходящую возможность для вашего агента.
Bug Fix Agent - Automated bug fixing with review loopback and auto-commit to main branch. Fixes bugs, tests them, reviews quality, and commits when quality gates pass.
Browser testing and debugging with Playwright. QA testing, screenshots, form interactions, console errors, network analysis, performance profiling. Batch scripting for multiple actions per turn.
Use when the user asks you to wait longer than 10 minutes before performing an action, implement delayed execution, schedule tasks for a specific time, or do something after a condition becomes true
Analyze test failures, debug failing tests, run tests with AI analysis, understand why tests fail, get help with build failures, analyze command output, debug command errors, or get AI-powered analysis of shell command failures using ATR.
Manages Docker development environments. Use for containerized projects, Docker operations, Compose management, and environment setup.
Validates story implementations through testing, code review, and quality gate assessment. Uses testing skill for execution, checks standards compliance, and creates quality gate decisions (PASS/CONCERNS/FAIL/WAIVED).
Use for DevOps work in m0sh1.cc homelab repos (infra and helm-charts), covering GitOps/ArgoCD rules, Helm wrapper charts, Terraform lab workflow, Ansible Vault boundaries, and supply-chain checks. Includes repo-specific guard/scaffold tools.
AI-powered QA verification using Playwright MCP for visual E2E testing. Use when (1) Verifying UI changes after code modifications, (2) Testing user workflows end-to-end, (3) Checking for visual regressions, (4) Validating form submissions and error states, (5) Exploratory testing of new features, (6) Pre-deployment verification, (7) Debugging UI issues with screenshots
Deploy Docker containers to GCP Cloud Run with full CI/CD pipeline. Use when setting up GCP Cloud Run deployment, configuring GitHub Actions for GCP, setting up Artifact Registry, or automating container deployments to Google Cloud.
Watch an Azure DevOps UAT PR for maintainer feedback or approval by polling threads and reviewer votes until approved/passed.
Iterate bootstrap-qcow2 sysroot/rootfs build plans inside the container using sysroot-runner overrides, state bookmarks, and failure reports, then back-annotate stable fixes into SysrootBuilder for reproducible clean builds.
Evidence-based completion claims - BLOCKS claiming tests pass, builds succeed, features work, or tasks are done without running verification commands first. Enforces TDD for implementation tasks. Triggers on done, complete, fixed, passes, works, ready, finished, verified, all good, ship it, commit, PR, push, merge, implement, create feature, build.
Develop and troubleshoot Tekton Pipelines on Kubernetes. Use when creating cloud-native CI/CD pipelines, debugging TaskRuns and PipelineRuns, understanding Tekton CRDs, or building reusable Tasks and Pipelines.
Build multi-architecture container images in GitHub Actions. Matrix builds (public repos with native ARM64), QEMU emulation (private repos), or ARM64 larger runners (Team/Enterprise). Uses Podman rootless builds with push-by-digest pattern
Use when about to claim work is complete, fixed, passing, or successful, before committing or creating PRs - requires running verification commands and confirming output before making ANY success claims; evidence before assertions always, no exceptions