autopus-ai
Official@autopus-ai
Autopus-ADK is a spec-driven development harness for oh-my-pi, orchestrating SPEC authoring, E2E verification, code review, and deployment health checks.
Agent Skills by autopus-ai
Showing 65 vetted skills indexed across 1 GitHub repositories.
autopus-aiauto-verify
Validates frontend UX through Playwright-based visual verification of core flows.
autopus-aiplaywright-cli
Automates browser interactions, screenshots, and session management using playwright-cli commands.
autopus-aiauto-map
Analyzes codebase structure, entry points, and dependencies to produce a summary.
autopus-aiauto-canary
Runs post-deploy build, E2E, and browser health checks with PASS/WARN/FAIL verdicts.
autopus-aimetrics
Design North Star Metrics, input metrics, and guard rails for product success dashboards.
autopus-aidatabase
Design database schemas, manage migrations, and optimize SQL queries.
autopus-aiauto-update
Updates the harness surface by detecting the current repository or meta workspace.
autopus-aiusing-autopus
Installs and configures the Autopus-ADK harness across AI coding CLI platforms.
autopus-aiauto-test
Executes E2E test scenarios defined in scenarios.md and reports pass, warn, or fail results.
autopus-aikorean-writing-refiner
Refines Korean sentences for clarity, natural phrasing, and structural consistency in publishable text.
autopus-aidocker
Writes Dockerfiles, multi-stage builds, and Docker Compose configurations for containerized applications.
autopus-aimonitor-patterns
Streams pane output events with the Monitor tool and line-buffered grep patterns.
autopus-aiax-annotation
Applies @AX code annotation tags to source files based on trigger conditions and per-file limits.
autopus-aiauto-dev
Runs plan, go, and sync phases sequentially for full-cycle development.
autopus-aientropy-scan
Measures codebase entropy and detects technical debt hotspots using complexity and churn metrics.
autopus-ailore-commit
Writes structured commit messages with Lore decision-record trailers.
autopus-aiagent-pipeline
Orchestrates multi-agent task pipelines with phase gates and strict receipt contracts on OMP.
autopus-aiauto-fix
Fix bugs by writing reproduction tests first and applying minimal code changes.
autopus-aiauto-setup
Analyzes a codebase and generates persistent project context documents including ARCHITECTURE.md.
autopus-aiddd
Guides incremental legacy code improvement through analyze, preserve, and improve cycles.
autopus-aiauto
Routes Autopus slash-command arguments to the matching detail skill.
autopus-aiauto-status
Displays SPEC lifecycle and module status dashboard for the current project and submodules.
autopus-aiagent-presets
Configures domain-specific agent presets that activate relevant agents and skip inactive pipeline phases.
autopus-aifrontend-skill
Generates art-directed landing pages and app interfaces with restrained composition and motion.
Frequently Asked Questions About autopus-ai
FAQPage SchemaWhat tasks can I automate using autopus-ai's skills?▼
You can run a full spec-driven cycle: analyze codebases and generate ARCHITECTURE.md (auto-setup), write EARS SPECs (auto-plan), implement them (auto-go), review with TRUST 5 (auto-review), audit security against OWASP Top 10 (auto-secure), run E2E and canary checks (auto-test, auto-canary), and sync documentation (auto-sync).
Who is the target audience for the Autopus-ADK skill set?▼
Software engineers and engineering teams using the oh-my-pi (omp) platform who want disciplined, spec-first development. It also serves frontend developers needing Playwright visual verification, QA engineers running deterministic QAMESH evidence reports, and product leads writing PRDs and metrics dashboards.
How do I install and run Autopus-ADK skills?▼
Follow the using-autopus skill, which documents Autopus-ADK installation and usage. After setup, auto-doctor diagnoses harness installation and platform wiring, auto-update refreshes the harness surface for the current repo or meta workspace, and the auto router dispatches commands like plan, go, and sync.
What prerequisites and dependencies do these skills require?▼
All skills declare omp compatibility, so an oh-my-pi environment is required. Browser verification skills depend on Playwright for form input, screenshots, and session management; CI/CD skills target GitHub Actions; container skills require Docker and Docker Compose; parallel execution skills rely on Git worktrees.
Does Autopus-ADK support frontend and visual quality verification?▼
Yes. auto-verify and frontend-verify run Playwright-based visual checks of frontend UX, browser-automation detects terminal environments to let agents manipulate and validate web pages directly, and make-interfaces-feel-better reviews typography, hit areas, shadows, micro-interactions, and animation performance.