LLM Mart Basic
@llm-mart · Joined Jun 2026
Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.
Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.
Systematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.
Write efficient C code with proper memory management, pointer
Generate comprehensive C4 architecture documentation for an existing repository/codebase using a bottom-up analysis approach.
Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure.
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."
Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns.
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
Automate Coda tasks via Rube MCP (Composio): manage docs, pages, tables, rows, formulas, permissions, and publishing. Always search tools first for current schemas.
Rewrites unprofessional code comments into clear ones and performs non-semantic cleanup. Use to professionalize code without altering logic or behavior.
Elite code review expert specializing in modern AI-powered code
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-speci
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
ALWAYS use this skill when committing code changes — never commit directly without it. Creates commits following Sentry conventions with proper conventional commit format and issue references. Trigger on any commit, git commit, save changes, or commit message task.
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.
/questionnaire
Questionnaire
Draft evidence-backed answers to the standard cyber-insurance questionnaire for a client
/list-computers
List computers
List computers in ConnectWise Automate with optional filters
/run-script
Run script
Execute a script on an endpoint in ConnectWise Automate
/create-quote
Create quote
Create a ConnectWise CPQ quote by copying a template or an existing quote
/get-quote
Get quote
Get a ConnectWise CPQ quote with its tabs, line items, customers, and terms
/list-templates
List templates
List ConnectWise CPQ quote templates available to copy
/search-quotes
Search quotes
Search ConnectWise CPQ quotes by account, status, or date range
/add-note
Add note
Add an internal or external note to a ConnectWise PSA ticket
/check-agreement
Check agreement
View agreement status and entitlements for a company in ConnectWise PSA
/close-ticket
Close ticket
Close a ConnectWise PSA ticket with resolution notes
/create-ticket
Create ticket
Create a new service ticket in ConnectWise PSA
/get-ticket
Get ticket
Retrieve detailed ticket information from ConnectWise PSA
/log-time
Log time
Log a time entry against a ConnectWise PSA ticket
/lookup-config
Lookup config
Search for configuration items (assets) in ConnectWise PSA
/schedule-entry
Schedule entry
Create a schedule entry/appointment in ConnectWise PSA
/search-tickets
Search tickets
Search for tickets in ConnectWise PSA by various criteria
/update-ticket
Update ticket
Update fields on an existing ConnectWise PSA ticket
/search-surveys
Search surveys
Search recent Crewhu surveys, surfacing detractors and promoters
/error-budget
Error budget
Run the reliability scorecard for one service, or every connected service if omitted - error-budget burn rate where an SLO is defined, trend reporting otherwise
/oncall-brief
Oncall brief
Generate the current on-call handoff brief - what's paging, what's escalated without an owner, last-shift history, and known-flaky alerts to watch
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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