LLM Mart Basic
@llm-mart · Joined Jun 2026
Structured debugging methodology — reproduce, isolate, hypothesize, verify. Covers git bisect, binary search, logging, and minimal reproduction.
Monitor a build process (webpack, turbo, docker) for warnings and errors as they stream. Summarize issues and fix them before the build finishes.
Safely update an npm package by checking npmjs.com for the latest version, reading release notes, and handling minor vs major upgrades differently. For minor updates, just do it. For major updates, find the upgrade guide, validate breaking changes, and produce a detailed migratio
Enforce a configuration-driven design system when generating UI. Ensures consistent spacing, colors, typography, dark mode, interactions, and accessibility across all AI-generated components.
After making code changes, start the dev server, open the app in Cursor's built-in browser, and verify everything works — check rendering, console errors, and network health. Use proactively after any UI or API change.
Verify that a Markdown file has correct formatting — headings, lists, links, code blocks, spacing, and consistent style.
Visually QA a web application by launching it in Cursor's built-in browser, taking screenshots, checking console errors, and auditing network requests. Use after making UI changes to verify they look correct.
Write clear, conventional commit messages with proper type prefixes, scopes, and body content.
Write marketing copy for landing pages, product descriptions, CTAs, emails, and app UI text.
Analyze existing code and write comprehensive unit and integration tests for it. Detects the test framework, identifies untested code paths, and generates tests with proper mocking, edge cases, and assertions. Use when the user asks to add tests, improve coverage, or test a speci
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
"Memory is the cornerstone of intelligent agents. Without it, every
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
Expert in designing and building autonomous AI agents. Masters tool
AI驱动的综合健康分析系统,整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.
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.
Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.
/install
install
Install a rule from the catalog
/list
list
List all rules with their status
/catchup
catchup
Context recovery after session breaks. Summarize recent git changes, extract key decisions, and identify pending work.
/justify
justify
Audit changes for additive bias, Iron Law compliance, and minimal intervention. Justifies every change against a "simplest safe change" standard.
/karpathy-check
karpathy-check
Pre-flight gate walking four Karpathy principles (think first, simplicity, surgical edits, goal-driven). Use before implementation.
/stewardship-health
stewardship-health
Display stewardship health dimensions for one or all plugins
/structured-review
structured-review
Start a structured review workflow with evidence logging and formatted output
/reinstall-all-plugins
reinstall-all-plugins
Uninstall and reinstall all Claude Code plugins to refresh cache and resolve version mismatches.
/update-all-plugins
update-all-plugins
Update all installed Claude Code plugins from all marketplaces.
/verify-plugin
verify-plugin
Verify plugin behavioral contract history via GitHub Attestations (SLSA)
/garden
garden
Manage and analyze digital gardens for evolving knowledge bases, including health metrics.
/navigate
navigate
Search and navigate across memory palaces to find and retrieve stored information.
/palace
palace
Create and manage memory palaces, the unified storage for knowledge captured from research sessions.
/review-room
review-room
Capture and retrieve PR review knowledge in project memory palaces.
/skill-logs
skill-logs
View and manage skill execution memories stored by memory-palace.
/close-issue
close-issue
Analyze if issues (GitHub/GitLab) can be closed based on commits
/create-issue
create-issue
Create a new GitHub issue with formatted description, labels, and optional reference links
/update-labels
update-labels
Reorganize GitHub issue labels into type, priority, and effort groups.
/oracle-setup
Oracle setup
Provision the oracle ML inference daemon
/analyze-tests
analyze-tests
Analyze Python test suites for quality, coverage, and improvement opportunities.
Implementation of Podlite markup language
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