LLM Mart Basic
@llm-mart · Joined Jun 2026
Current AI regulatory landscape — EU AI Act, FINRA, FDA, US state AI laws — and client-system exposure mapping
Plain-language legal explanations, client-facing correspondence, and privilege-boundary awareness
Civil litigation, contract law, legal research methodology, rules of professional conduct, and legal citation format
Civil litigation workflow expertise — case management, deposition prep, evidence chain, and Federal Rules of Evidence
Financial statement preparation, analysis, and plain-language explanation for small business owners
Tax preparation client communication, deadline management, and entity-specific requirements
Chiropractic clinical expertise including musculoskeletal assessment, spinal biomechanics, diagnostic imaging, and evidence-based guidelines
Chiropractic practice marketing, patient communication, content strategy, and healthcare advertising compliance
Community health monitoring expertise — auto-activates on engagement, retention, and churn-prediction tasks
Moderation audit trail expertise — auto-activates on compliance logging and escalation documentation tasks
Estimating, scheduling, building codes, safety protocols, permitting, and project controls
Owner reports, subcontractor coordination, RFI responses, and meeting documentation
License display, lien rights, permits and code, insurance certificates, and no-guarantee language for contractor communications
Construction estimating, scope definition, and change-order structure for remodelers and trades
Brand voice extraction expertise — auto-activates on copywriting tasks to capture and replicate client tone
Persuasion and conversion expertise — auto-activates on copywriting tasks to apply evidence-based behavioral principles
Dataset profiling expertise — auto-scans for missing values, outliers, class imbalance, correlation issues, and schema drift
Model card generation expertise — auto-generates Model Cards covering intended use, limitations, and training data provenance per the HuggingFace and Mitchell et al. standard
Clinical dental hygiene expertise including periodontal assessment, AAP classification, CDT coding, and dental pharmacology
Patient communication about oral health using motivational interviewing, age-appropriate education, and culturally sensitive messaging
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.
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.
/timeline
Timeline
How my sources developed over time
/trace
Trace
Show which pages an answer used
/typed-links
Typed links
Add relation types where they matter
/weekly
Weekly
The weekly review
/build
Build
Implement an approved plan or issue in its own worktree, run the gate, open the pull request.
/close-out
Close out
Close a finished session: sweep for unfinished work, land and hand off, file the follow-ups, tell the sessions that depend on this one, then archive.
/handoff
Handoff
Write the repository handoff file for the next session, and record any durable learning.
/land
Land
Merge an approved pull request, clean up its worktree and branch, then check whether a release is due.
/plan
Plan
Turn a topic or issue into a plan the reviewer approves in the native plan pane.
/research
Research
Answer a research question with parallel read-only gatherers and one synthesized digest.
/review
Review
Review the branch's diff in two fresh contexts — scope against the spec, then quality — and report findings only.
/ia-refine-prompt
ia-refine-prompt
Transform a vague prompt into precise, structured AI instructions
Implementation of Podlite markup language
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10 views 0 likesControl Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace MCP Server & CLI Tool
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10 views 0 likesAI-powered SRE platform — read-only infrastructure diagnostics with deep investigation, security governance, and team collaboration
27 views 0 likesAn open-source AI desktop companion inspired by Cyrene, combining immersive Chat, personalized long-term memory, and an agentic Work mode.
12 views 0 likesA local-first AI agent with persistent memory, emotional intelligence, and a peer-to-peer skills economy.
14 views 0 likesThe open-source, multi-agent alternative to Claude Tag. @ any agent, wherever work happens, your agents work alongside your team and each other, learning as the…
27 views 0 likesSimple LLM service identification - translate IP:Port to Ollama, vLLM, LiteLLM, or 60+ other AI services in seconds
13 views 0 likes🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
14 views 0 likesClaude in Chrome, reverse-engineered and open-source. No domain blocklist. Any Chromium browser. Same 18 MCP tools, same performance.
13 views 0 likesAgent-native flight & hotel search and booking — MCP server, CLI, and Python/JS SDKs. Hundreds of airlines plus the major booking sites, with per-flight reliabi…
19 views 0 likesOpen-source desktop AI agent for tools, files, knowledge, workflows, and real deliverables.
12 views 0 likesOpen-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs l…
24 views 0 likesPrivacy-first Codex skill for discovering, validating, completing, and tracking job applications
13 views 0 likes