LLM Mart Basic
@llm-mart · Joined Jun 2026
SQLite with Peewee ORM: model definition, query optimization, migrations, transactions.
Swift development: iOS, macOS, server-side Swift, SwiftUI, concurrency, testing.
Systematic toolkit upgrades: adapt agents, skills, hooks when Claude Code ships updates.
Technical documentation: API docs, system architecture, runbooks, enterprise standards
Technical journalism: explainers, opinion pieces, analysis articles, long-form content.
Testing automation: Vitest, Playwright, E2E, coverage enforcement, CI/CD integration
Toolkit governance: edit skills, update routing tables, manage ADR lifecycle, enforce standards.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a websit
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
Autonomous iteration loop: modify, verify, keep/discard against any metric
Use the ax CLI instead of curl + throwaway parsing scripts whenever you fetch a URL, explore an unknown web page, or extract structured data from HTML. Trigger whenever you are about to write an inline script (python3 heredoc, node -e, regex over HTML) or a bare curl for one-off
Use when working with icons in any project. Provides CLI for searching 200+ icon libraries (Iconify) and retrieving SVGs. Commands: `better-icons search <query>` to find icons, `better-icons get <id>` to get SVG. Also available as MCP server for AI agents.
Capture a full DevTools-protocol trace of any browser automation — CDP firehose, screenshots, and DOM dumps — then bisect the stream into per-page searchable buckets. Use when the user wants to debug a failed run, audit network/console/DOM activity, attach a trace to an in-progre
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.
Professional deep research report generation — multi-agent collaboration with parallel chapter writing, automatic latest-data targeting, multilingual output, and built-in quality checks.
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, bar, waterfall, l
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
Use Exa MCP for current web, code/docs, company, people, and page-fetch research. Prefer current hosted tool schemas and note deprecated tools.
Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific library, framework, SDK, CLI tool, or cloud service — even for well-known ones like React, Next.js, Prisma, Express, Tailwind
Fourteen posts of being wrong in production, compressed to checkboxes
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.
/update-docs
Update docs
Update implementation documentation including specs, status, and best practices
/use-stepper
Use stepper
Use structured stepper approach for problem-solving and project development
/write-tests
Write tests
Write unit and integration tests
/dev
Dev
Developer agent — implements features based on technical design, follows TDD patterns, and produces clean, tested code
/iterate
Iterate
Autonomous iteration loop — reads progress, selects role, executes, verifies, commits, and moves to next task without waiting
/pair
Pair
Pair programming mode — step-by-step collaboration with 5 confirmation checkpoints for learning and sensitive operations
/pm
Pm
Product Manager agent — analyzes requirements, creates REQ documents, and breaks down features into actionable items
/setup
Setup
Configure claude-hud as your Claude Code statusline
/claude-md-audit
Claude md audit
Grade this repo's CLAUDE.md / AGENTS.md (0–100) and return a worst-first fix list
/claude-md-new
Claude md new
Scaffold a CLAUDE.md for this repo from battle-tested templates, filled in with the project's real commands
/p
P
Prompt optimizer — rewrite this request into an optimized prompt (ultrathink), then carry it out
/configure
Configure
Configure codex-hud statusline display options (guided interactive flow)
/costs-month
Costs month
Show last 30 days Codex cost breakdown
/costs-today
Costs today
Show today's Codex cost breakdown
/costs-week
Costs week
Show last 7 days Codex cost breakdown
/setup-key
Setup key
Configure or update the OpenAI Admin API key (enables /codex-hud:costs-*)
/setup
Setup
Install codex-hud statusline (automatic, idempotent)
/summary
Summary
Quick one-line summary of today's Codex activity (cost shown if Admin key configured)
/uninstall
Uninstall
Remove the codex-hud statusline integration (restores your previous statusline)
/gate-status
Gate status
Показать состояние гейта качества 1С — какие файлы ждут проверки
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