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GitHub - villagesql/villagesql-skills: Agent skills for VillageSQL - gemini-cli-extension; claude-code-plugin GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. See which tool calls have zero checks Code Block Selector - Visual Studio Marketplace Prometheus dependency graph — interactive showcase | Riftmap Show HN: I made a vi-like modal keyboard plugin for Figma GitHub - run-llama/liteparse: A fast, helpful, and open-source document parser GitHub - dalemyers/Roar: A macOS CLI tool for notifications GitHub - district-solutions/open-agent-tools-coder: Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models. GitHub - progapandist/stripeek: A local TUI proxy for real-time Stripe API debugging, built for navigating complex payloads fast. GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - matisiekpl/neond: DX-focused control plane for Postgres dedicated to non-critical workloads. Your postgres:latest replacement 🐘 GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
Automation Skill Builder
visualbuildm · 2026-06-25 · via Show HN

Local-first AI automation platform

visualbuild.me · Automation Skill Builder

Record once. Run forever — no AI required at runtime.

Use AI to capture and structure your workflows. What runs is pure logic — deterministic, local-first, and reusable across every assistant.

  • Works with Cursor, Claude & Copilot
  • Windows & macOS
  • No cloud dependency at runtime
  • Skills exposed as standard MCP tools

Design time

Quick demo

See ASB in action

Watch: fetch Amazon iPhone prices into a CSV file — recorded in ASB, compiled into a reusable skill, zero manual steps.

Compatible with

  • Cursor
  • Claude
  • GitHub Copilot
  • Cline
  • Any MCP client

20 min

A 12-step SAP data export — recorded, packaged, and invokable in under 20 minutes

3 run modes

Standalone executables, AI-callable skills, and scheduled jobs — one build, same execution

0 cloud calls

Core automation runs fully offline — no API key needed at runtime

WHY ASB

The automation gap, solved

AI can think, but can't operate your apps

Models reason about tasks, yet they cannot click, type, or drive your desktop without a bridge.

Traditional RPA is powerful, but brittle

Classic RPA is heavy to build, fragile when UI changes, and expensive to maintain.

Simpler, smarter, reusable

Package workflows into AI-callable skills through MCP — the same path as Cursor and other assistants.

CORE CAPABILITIES

Everything your automation needs

Eight capabilities, one runtime. Build once, reuse across every assistant.

Desktop automation

Control and operate desktop applications.

Browser automation

Automate web tasks and extract data.

API calls

Connect services with structured requests.

OCR & vision

Extract text and structure from screens and files.

MCP tool surface

Expose skills to assistants via MCP.

Skill packaging

Version and reuse automations as skills.

Local execution

Run on your machine with local-first privacy.

Workflow orchestration

Chain steps into reliable automations.

TYPICAL SCENARIOS

What teams automate

FINANCE

Excel automation

Generate reports and data dashboards

ERP

SAP data updates

Automated ERP data processing

ACCOUNTING

Invoice OCR

Extract and process invoice data

DATA

Web scraping

Collect website data and content

COMMS

Email processing

Automated email workflows

RPA

RPA replay

Reproduce and monitor RPA flows

Real screens, real workflows

From recording to MCP exposure — every stage visible in the UI.

Product Overview
Record steps
Expose via MCP
Schedule runs
Track usage

Local-first

Execution stays on your hardware.

Traceability

Logs and records for review.

Allowlists

Tighten upstream AI proxy access.

Works offline

Core automation without mandatory cloud.

Security boundaries

Guardrails for vision paths and tools.

Version 0.9.0 · Windows installer (.exe), macOS disk image (.dmg), or ZIP archives

SUBSCRIPTION LICENSE

Simple, honest pricing

Each time an AI assistant invokes a skill via MCP, that counts as 1 call. A typical automation run uses around 20–30 calls.

Start free — no credit card needed. Every account gets 1,000 calls per month at no cost, resetting on the 1st of each month (your local time). When you're ready to do more, upgrade any time.

FREE

$0

1,000 calls / month

≈ 33–50 skill runs / month

Get started

STARTER

$9 / mo

5,000 calls / month

≈ 165–250 skill runs / month

MOST POPULAR

PRO

$29 / mo

20,000 calls / month

≈ 665–1,000 skill runs / month

GROWTH

$99 / mo

100,000 calls / month

≈ 3,300–5,000 skill runs / month

ENTERPRISE

Custom

Volume · SLA · deployment & integrations

Contact us

Typical run: 20–30 calls. A skill with loops or retries may use more.

Add-on: +1,000 calls one-time for $2 · All prices USD before tax

Questions & answers

Short answers; the manual remains authoritative for operational detail.

What are the system requirements?
Is this a hosted SaaS?

No. It is designed primarily as a self-hosted application you run on your infrastructure or workstation. You control networking, TLS, and who can reach the service.

Do I need MCP or Claude community skills?

No. Core features work over the web UI and HTTP API. MCP and integration with the rich skill ecosystem on the Claude community are optional when you want assistants or a skill runtime to consume packaged capabilities. We fully support that path: follow the user manual to install the skills you prefer, use the product’s built-in security checks to validate them, and execute with confidence.

Will this replace my team?

No — it amplifies what your team can do. Think of it as a capable assistant that drafts and suggests; your team reviews, decides, and owns the outcome.

What about data privacy?

Sensitive data flows depend on your configuration: local execution, which models you call, and which external services you enable. Run data-protection assessments before processing regulated data. With this product’s design, interactions are auditable and can be reviewed in a visual way—helping security teams verify behavior instead of working blind.

Why local-first?

Many automation tasks touch the desktop, filesystem, or internal APIs. Keeping execution close to the environment reduces latency and can simplify compliance—at the cost of you maintaining the runtime.

Will VS Code, Chrome, or Office integrations be available?

Yes—see the Visual Studio Marketplace listing or download a VSIX. The Automation Skill Builder app must still run locally; extensions only embed the UI. A Microsoft Office add-in remains under evaluation.

What if OCR or vision is slow the first time?

Vision stacks often download models on first use. Expect a longer cold start; subsequent runs are typically faster. See the manual for warmup and skip flags.

How do I get help?

Community users can ask questions in the public forum — response times vary. If your team needs reliable support with a guaranteed response, check out our professional plan.

Do I need Python or Node.js installed?

See the user manual for OS support and optional Python / Node.js prerequisites.

Support model

Two lanes—so expectations stay clear whether you are evaluating, self-hosting, or running under a commercial agreement.

Professional support

For organizations that need onboarding, priority help, custom integrations, security review assistance, or deployment hardening, commercial support may be available from the maintainer or partners.

Scope, channels, and SLAs are defined in a separate agreement—not on this marketing page. Contact your vendor or project owner for entitlement and pricing.