LLM Mart Basic

Audit project dependencies for known-vulnerable versions and risky pinning. Parses requirements.txt and package.json, matches a bundled offline advisory DB, optionally queries OSV.dev live, and warns about unpinned versions. Use when the user asks to "check dependencies for vulne

Audit a website's HTTP security headers and cookie flags — CSP, HSTS, X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, COOP/COEP, version-leaking banners, and Secure/HttpOnly/SameSite cookies. Use when the user asks to "check my site's security header

Decode and security-audit a JSON Web Token — flag alg=none, missing/excessive expiry, symmetric-alg confusion risk, missing claims — and attempt an offline HMAC secret crack against a wordlist to detect weak signing keys. Use when the user asks to "decode this JWT", "is this toke

Static security analysis for Python source via AST walking — finds command injection, insecure deserialization, eval/exec, weak crypto, SQL injection, disabled TLS verification, hardcoded secrets and more, each tagged with a CWE. Use when the user asks to "audit this code for vul

Start robotics apps or demos from compatible examples for mapping/navigation, robot assistants, or pretrained manipulation. Choose a stack if none fits; not existing-app maintenance.

Deploy and debug headless robotics containers on Google Cloud Run.

Choose and structure training data for robot-learning projects.

Set up reproducible robotics environments with uv, Docker, or GPU hosts.

Visualize live or recorded ROS robot data remotely with Foxglove or Lichtblick.

Build and debug modern Gazebo simulations and their ROS 2 boundary.

Integrate and debug Gemini Robotics ER perception, function calls, and guarded execution. For a first natural-language robot assistant demo, start with architect's reference-app selection.

Inspect and manage robotics datasets, models, Jobs, and Spaces on Hugging Face.

Wire robotics modules with ROS 2 interfaces, Docker Compose, or non-ROS transports.

Train, imitate, evaluate, and deploy robot policies with NVIDIA Isaac Lab.

Build GPU-accelerated robot simulations and synthetic-data pipelines with NVIDIA Isaac Sim.

Turn captured Robium experience into small, evidence-backed skill improvements.

Build and debug LeRobot datasets, training, and policy evaluation. For a first pretrained robot-arm demo, start with architect's reference-app selection.

Build and debug lightweight robot manipulation simulations with MuJoCo.

Configure, extend, and debug Nav2 in an existing robot app; explain navigation concepts. New mapping/localization/navigation demos start with architect.

Visualize robot and machine-learning data with Rerun.

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Create and manage database migrations

Analyze GitHub issue and create technical specification with implementation plan

Scaffold new feature with boilerplate code

Create a Jobs to be Done (JTBD) document for a product feature focusing on user needs

Create developer onboarding guide

Create a new branch, commit changes, and submit a pull request with automatic commit splitting

Create a Product Requirements Document (PRD) for a product feature

Create a comprehensive Product Requirement Prompt (PRP) with research and context gathering

Guide for creating pull requests using GitHub CLI with proper templates and conventions

Manage git worktrees for open PRs and create new branch worktrees

Manage cross-platform reference links

Systematically debug and fix errors

Analyze decision quality with scenario testing, bias detection, and team decision-making process optimization.

Explore decision branches with probability weighting, expected value analysis, and scenario-based optimization.

Audit dependencies for security vulnerabilities

Map and analyze project dependencies

Design optimized database schemas

Design RESTful API architecture

Create systematic digital twins with data quality validation and real-world calibration loops.

Analyze directory structure and purpose

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat ap…

Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evid…

Ultimate Multi-Agent OS for Autonomous AI NPCs 2026

Personal AI Agent Hub 2026 — Build Your 24/7 Autonomous Assistant

Proven 2026 Multi-Agent AI Review System – Verdict-Driven Quality Control

Slash API Batch: Cut AI Costs by 50% in 2026

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

Agent Skills for Solopreneurs

AirLLM dramatically reduces inference memory usage, letting 70B large language models run on a single 4GB GPU card

Zero, your trustworthy AI teammate for real work.

一套 DSH runtime，Desktop、Web 与 TUI 三种开发体验。

Open-source operational advisor for ClickHouse — real-time monitoring plus AI-driven index/partition/materialized-view recommendations.

⚙️ TypeScript Style Guide and Agent Skill. A concise set of conventions and best practices for consistent, maintainable code.

Framework for AI agents to build and maintain a digital brain through Obsidian wiki

Apache Maka (Incubating) is a local-first AI agent workspace. Model messages, tool calls, tool results, permission decisions, and termination events are recorde…

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active H…

Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Sin…

NocoBase is an open-source AI + no-code platform for building business systems fast. Instead of generating everything from scratch, AI works on top of productio…

An open-source AI coding agent that lives in your terminal.

PawWork — free, open-source desktop AI agent for macOS and Windows. Alternative to Codex App and Claude Cowork. BYOK with 75+ providers, ChatGPT OAuth, local mo…