LLM Mart Basic
@llm-mart · Joined Jun 2026
Generate an implementation plan for new features or refactoring existing code.
Specialized agent for tracking and analyzing accessibility improvements in VS Code Insiders builds
Perform janitorial tasks on any codebase including cleanup, simplification, and tech debt remediation.
Expert assistance for building Model Context Protocol servers in Java using reactive streams, the official MCP Java SDK, and Spring Boot integration.
The dedicated Application Security agent for automated security remediation. Verifies package and version compliance, and suggests vulnerability fixes using JFrog security intelligence.
Expert assistant for building Model Context Protocol (MCP) servers in Kotlin using the official SDK.
Kubernetes operations expert for KubeStellar Console — helps you set up the console, configure kc-agent (MCP server), connect clusters, deploy workloads, and query live Kubernetes data via AI chat.
Expert KQL assistant for live Azure Data Explorer analysis via Azure MCP server
Expert Laravel development assistant specializing in modern Laravel 12+ applications with Eloquent, Artisan, testing, and best practices
A specialized GitHub Copilot agent that uses the LaunchDarkly MCP server to safely automate feature flag cleanup workflows. This agent determines removal readiness, identifies the correct forward value, and creates PRs that preserve production behavior while removing obsolete fla
Expert at implementing internationalization (i18n) in web applications using a systematic, checklist-driven approach.
Draft and format compelling LinkedIn posts with Unicode bold/italic styling, visual separators, and engagement-optimized structure. Transforms raw content, technical material, images, or ideas into copy-paste-ready LinkedIn posts.
Improves the accessibility of markdown files using five GitHub best practices
Expert assistant for building MCP-based declarative agents for Microsoft 365 Copilot with Model Context Protocol integration
Help mentor the engineer by providing guidance and support.
Socratic mentor for junior developers. Guides through questions, never gives direct answers. Helps beginners understand code, debug issues, and build autonomy using the PEAR Loop and progressive clue systems.
Meta agentic project creation assistant to help users create and manage project workflows effectively.
Activate your personal Microsoft/Azure tutor - learn through guided discovery, not just answers.
Microsoft Learn Contributor chatmode for editing and writing Microsoft Learn documentation following Microsoft Writing Style Guide and authoring best practices.
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.
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.
/export
Export
Export a page or set of pages
/gaps
Gaps
What is missing from my understanding
/graph-export
Graph export
Export the graph for outside analysis
/graph
Graph
Report the shape of the graph
/handoff
Handoff
Prepare a handoff brief
/health
Health
Quick health check
/hubs
Hubs
Find pages that swallowed the graph
/index
Index
Rebuild the index
/ingest-chats
Ingest chats
Import an exported chat history
/ingest-highlights
Ingest highlights
Ingest book or article highlights
/ingest-mine
Ingest mine
Ingest your own finished work
/ingest-newsletter
Ingest newsletter
Ingest newsletters without duplicating
/ingest-paper
Ingest paper
Ingest an academic paper
/ingest-pdf
Ingest pdf
Ingest a PDF
/ingest-url
Ingest url
Clip and ingest a web page
/ingest-voice
Ingest voice
Ingest a voice note
/ingest-youtube
Ingest youtube
Ingest a video or podcast transcript
/ingest
Ingest
Ingest new material from raw/ into the wiki
/init
Init
Scaffold a new vault
/install
Install
Install the skills, commands and agents
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
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19 views 0 likesTransform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.
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14 views 0 likes⌥ Coding agent with the IDE wired in
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14 views 0 likesOpen-source coding agent for your terminal, built in Rust and on a journey of continuous community improvement. Issues and PRs welcome.
15 views 0 likes观澜 / Guanlan:AI Agent 的中文互联网研究、阅读与信源路由工具。
12 views 0 likesMac Agent for macOS 26: the agentic AI harness for your Mac Desktop. Computer use, automation, scripting, coding, and more. Powered by 18+ providers across loca…
15 views 0 likesSemantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.
28 views 0 likes