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ArthTech-AI

Official

@arthtech-ai

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2Public Repos
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93Published Skills

Offers a comprehensive framework for managing software development lifecycles, infrastructure deployments, and enterprise consulting engagements through structured, verifiable task execution.

Skills Distribution
DomainDeveloper To...Software Developme.. (40%)Cloud Infrastructu.. (30%)Enterprise Consult.. (30%)

Agent Skills by ArthTech-AI

Showing 93 vetted skills indexed across 2 GitHub repositories.

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ci-fix

Diagnose and fix GitHub Actions CI pipeline failures from failed run logs.

Official
Intermediate
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deploy

Deploy Taskflow to Railway staging or production with pre-deployment checks.

Official
Intermediate
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railway

Manage Railway deployment status, logs, and environment variables for Taskflow services.

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Basic
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planning

Create a structured feature plan with product brief and technical architecture.

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Intermediate
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qa

Run full-stack QA checks with pytest, Jest, ruff, TypeScript, and Playwright.

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Intermediate
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restart

Kill port-bound processes and restart uvicorn backend and npm frontend servers.

Official
Intermediate
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pr

Validate changes with QA checks, commit, push, and open a GitHub pull request.

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Intermediate
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qa-incident

Log QA incidents with issue details, affected files, root cause, and fix.

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Basic
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implement

Coordinate backend and frontend implementation tasks from a Taskflow feature plan.

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Intermediate
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sre

Check Taskflow service status, health endpoints, and recent logs for Railway deployments.

Official
Intermediate
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tweet-url-dispatch

Dispatch x.com and twitter.com status URLs into the desktop /monitor-tweet pipeline.

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Intermediate
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monitor-tweet

Triage tweet feature ideas and create GitHub pull requests after approval.

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Advanced
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arth

Restarts Arth AI services and registers missing projects in the dashboard and database.

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Advanced
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monitor

Replace polling with event-driven watchers for logs, PRs, deployments, and CI.

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Advanced
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license

Issue, verify, revoke, and list license keys via Cloudflare KV.

Official
Advanced
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qa-learn

Count and prune stale QA knowledge base entries under .claude/qa-knowledge.

Official
Intermediate
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knowledge-graph

Indexes and queries shared markdown knowledge bases to surface relevant guidance.

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Intermediate
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deploy-announce

Generate release announcements from merged pull requests and post them to Discord.

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Intermediate
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tech-debt

Detect technical debt across codebases with file-cited severity findings.

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Advanced
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setup

Bootstrap and verify project setup across the full application lifecycle.

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Advanced
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wizard

Guide non-engineers through role-based multi-step workflows with stateful progress tracking.

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Advanced
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schedule-routine

Configure cloud-hosted Claude Code routines for cron, GitHub webhook, or API triggers.

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Advanced
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_lib

Track per-skill usage counters and render canonical mode-line hints.

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Advanced
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docs

Audit and generate missing documentation for skills, agents, and hooks.

Official
Intermediate

Frequently Asked Questions About ArthTech-AI

FAQPage Schema
What specific tasks can I manage using ArthTech-AI?β–Ό

You can manage the entire software lifecycle, including GitHub issue triage, pull request reviews, Railway infrastructure deployments, and technical debt detection. Additionally, the platform supports enterprise consulting tasks like generating client proposals, readiness scorecards, and ROI projections.

Which personas benefit most from these capabilities?β–Ό

Software engineers, DevOps practitioners, and technical consultants benefit most. The platform provides specialized support for developers managing complex codebases and consultants needing to standardize client discovery, project architecture, and engagement reporting.

What are the prerequisites for running these operations?β–Ό

Operations require a configured environment with access to GitHub for repository management and Railway for infrastructure hosting. Users should have their project workspaces initialized with standard manifest files to enable the platform's discovery, planning, and deployment capabilities.