LLM Mart Basic
@llm-mart · Joined Jun 2026
Professional communication, email management, stakeholder coordination, follow-up systems
Executive operations, calendar management, travel coordination, expense workflows
Client advisory communication with fiduciary tone, compliance-friendly language, and plain-language financial education
Financial planning knowledge for retirement, education, estate, tax, and insurance needs analysis
Regulatory change monitor — current SEC, FINRA, IRS landscape with effective dates; flags advice impacted by recent changes
AI vendor billing-model fluency — auto-activates when normalizing, comparing, or forecasting AI spend across seats, usage, credits, and reserved capacity
AI unit-economics discipline — auto-activates when evaluating whether AI spend is worth it, pushing from tokens and requests to cost-per-successful-outcome
Weekly and monthly operating rhythm for solo founders — retros, three-bet weekly plans, honest monthly updates, and metric discipline
Scope and shipping guardrails for solo founders — cutting v1 to the one feature that tests the riskiest assumption, and a validation check before anything goes public
Worker-facing safety writing conventions — auto-activates when drafting toolbox talks, procedures, signage, alerts, or any safety material a crew has to read and act on
Safety-documentation guardrails — auto-activates on incident, inspection, recordkeeping, or regulatory work to keep drafts factual, uncertified, and never in front of a reporting obligation
Map clinical study data to FDA Substantial Equivalence and clinical performance criteria for AI-enabled medical devices
Determine the appropriate FDA premarket pathway for an AI-enabled medical device based on intended use and predicate landscape
HR operations, employment law, policy writing, compliance frameworks
Reskilling pathway mapper — given a displaced role, map AI-resistant adjacent roles and learning paths
Talent acquisition, job descriptions, DEI-inclusive language, onboarding
Insurance client relationship management, retention strategies, and cross-selling approaches
Insurance policy analysis across P&C, life, health, and commercial lines
Client management expertise for interior design proposals, scope management, and project communication
Interior design expertise for space planning, material specification, and design documentation
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.
Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.
Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.
An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
/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
/know
Know
What do I know about a topic
/link
Link
Find and add missing connections
/lint
Lint
Audit structure and repair what is mechanical
/merge
Merge
Merge two pages
/metrics
Metrics
Record a dated metrics snapshot
The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a sin…
12 views 0 likes本地私有、开源的自进化跨平台 AI 内容发现 Agent:先理解你,再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。(支持 deepseek harness 插件) | Local-first open-source cross-platform AI cont…
13 views 0 likesPersistent memory for AI coding agents — one verified kb_search replaces the grep/find/ls orientation loop. Cross-repo, CPU-only, zero token spend.
13 views 0 likesAI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Co…
13 views 0 likesThe batteries-included, No-Code FinOps automation platform, with the AI you trust.
14 views 0 likesOpen-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embe…
27 views 0 likesXLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, an…
24 views 0 likesHermes-Relay — Your Hermes AI agent, in your pocket — chat, voice, and control.
14 views 0 likesA minimalist, terminal-native coding agent written in C.
13 views 0 likesAI-powered OSINT agent with interactive REPL, MCP server, and CLI. 19 tools. Works with Claude, GPT-4, or local models. For authorized security research only.
12 views 0 likesAI pair programming in your terminal — one static binary, sub-ms startup, any model
11 views 0 likesWhere data access meets operational intelligence
11 views 0 likesBuild your own security agents. Open-source framework for agents with live, read-only access to your infrastructure, with no path to widen it. Reasons across AW…
11 views 0 likesMulti-workspace terminal aggregator with Claude Code AI integration
15 views 0 likesGo implementation of AI coding agent
13 views 0 likesHarness engineering beginner tutorial, from 0 to 1
15 views 0 likesGenerate images directly in DeepSeek Harness chats
26 views 0 likesA smarter, self-hosted AI assistant — multi-user, multi-agent.
15 views 0 likesTurn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / Op…
14 views 0 likesPower BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code
14 views 0 likes