LLM Mart Basic
@llm-mart · Joined Jun 2026
Auto-detect EU AI Act Annex III categories and US-state high-risk equivalents for any described AI system
Ingest AI-system incident reports, cluster failure patterns, and generate FDA/EU-style remediation recommendations
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
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.
/proposal
Proposal
Create a multi-page funding proposal with your organization's branding
/report
Report
Create a program report or annual report with your organization's branding
/slides
Slides
Create HTML presentation slides with your organization's branding
/update
Update
Check for updates and install the latest version
/hotpatch
Hotpatch
Sandboxed pre-install scan plus cooldown bypass for urgent npm/bun installs. Use when a package must ship despite the cooldown.
/diff-review
Diff review
Generate a visual HTML diff review, before/after architecture comparison with code review analysis
/fact-check
Fact check
Verify the factual accuracy of a document against the actual codebase, correct inaccuracies in place
/generate-slides
Generate slides
Generate a stunning magazine-quality slide deck as a self-contained HTML page
/generate-visual-plan
Generate visual plan
Generate a visual HTML implementation plan, detailed feature specification with state machines, code snippets, and edge cases
/generate-web-diagram
Generate web diagram
Generate a beautiful standalone HTML diagram and open it in the browser
/plan-review
Plan review
Generate a visual HTML plan review, current codebase state vs. proposed implementation plan
/project-recap
Project recap
Generate a visual HTML project recap, rebuild mental model of a project's current state, recent decisions, and cognitive debt hotspots
/share-page
Share page
Deploy a generated visual-explainer HTML page and return a live Vercel URL
/adapt-framework
Adapt framework
Adapt KATA and repository tooling after an approved no-write analysis and plan.
/break-down-tests
Break down tests
Explain existing automated tests and assertions without editing code.
/business-api-map
Business api map
Generate or refresh the business-level API map.
/business-data-map
Business data map
Generate or refresh the business data and flow map.
/business-feature-map
Business feature map
Generate or refresh the business feature inventory.
/fix-traceability
Fix traceability
Audit and repair one ticket's TMS traceability after explicit approval.
/jira-components
Jira components
Plan and reconcile Jira Components after explicit approval.
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