LLM Mart Basic
@llm-mart · Joined Jun 2026
Создать объект метаданных 1С. Используй когда пользователь просит создать или добавить справочник, документ, регистр, перечисление, константу, общий модуль, обработку, отчёт и др.
1C:Naparnik (1С:Напарник) MCP server tools - BSL code analysis, review, rewriting, ITS knowledge base, platform documentation search, configuration documentation. Use when checking BSL code quality, searching ITS standards, reading platform docs, comparing versions, or finding co
1C platform API documentation tools via bsl-platform-help MCP server — search, info, members, constructors. Supports keyword, semantic (embeddings), and hybrid search. Use when checking built-in functions, types, methods, or properties of the 1C platform.
Advanced query patterns for 1C: temporary tables, joins, DCS optimization. Use for complex queries beyond basic rules in query-optimization-tips.md.
SSL/БСП subsystems guidance and search via 1c-mcp_ssl_server MCP. Use when working with standard library subsystems - users, files, print forms, background jobs, email, common utilities.
Реестр шагов Vanessa Automation (BDD для 1С:Предприятие) - 1569 шагов с описаниями, поиск шага по смыслу и валидация готового сценария .feature. Используй ВСЕГДА, когда пишешь, правишь или проверяешь сценарии Vanessa на Gherkin: модель уверенно сочиняет шаги, которых в Vanessa не
Тестирование 1С через веб-клиент — автоматизация действий в браузере. Используй когда пользователь просит проверить, протестировать, автоматизировать действия в 1С через браузер
Разработка и доработка под 1С:Предприятие 7.7 (она же "77", "семерка"): правка и создание модулей кода (.1s, кодировка CP1251), форм (.frm), объектов конфигурации (1Cv7.MD), внешних обработок и отчетов (.ert), плюс разбор и сборка .ert / 1Cv7.MD через GComp. Используй ВСЕГДА, ког
EDT-based 1C:Enterprise (1С:Предприятие 8.3+) development via the EDT MCP server - BSL code analysis and editing, metadata inspection and construction, module navigation, query validation, managed forms, error checking, debugging, infobase update. Use when the project is an EDT w
Установка и обновление рабочего окружения агента: скилы, правила и команды этого набора плюс связанные инструменты (MCP-серверы, плагин EDT, локальная транскрибация, конвертеры документов, утилиты 1С). Работает и на чистой машине, и на уже настроенной - сначала снимает опись того
Use when the user wants to create or bootstrap a project-local CLAUDE.md - the auto-loading project context file for the agent. Russian triggers: "сделай/создай проектный CLAUDE.md", "настрой контекст проекта для агента", "забутстрапь CLAUDE.md", "CLAUDE.md для проекта". English
Read, understand and safely edit Cleverence Mobile SMARTS (Склад 15 / Магазин 15) configuration stored as .mslx files - the XML algorithm graphs that drive handheld terminal (ТСД) workflows in 1C integration projects. Use this skill whenever the task touches Cleverence / Mobile S
Compose correct and optimized 1C:Enterprise query language queries. Covers ВЫБРАТЬ/ИЗ/ГДЕ structure, table naming (catalogs, documents, registers, virtual tables), field selection, joins, grouping, totals, temporary tables, and parameter usage. Includes accounting register virtua
Создать новый DOCX в оформлении готового образца: взять чужой документ как шаблон стилей и наполнить своими данными, сохранив титул, заголовки с нумерацией, стили таблиц, ширины столбцов, заливку шапок, колонтитулы, книжные и альбомные секции. Используй когда просят сделать докум
Применять при переписывании текстов, сгенерированных LLM-агентами (отчеты, README, доки, письма, посты), в живой человеческий стиль. Триггеры - пользователь пишет «убери AI-стиль», «перепиши по-человечески», «сделай естественно», «убери воду», «не как ChatGPT», «убери LLM-штампы»
Наложить пронумерованную сетку на изображение для определения пропорций колонок
Программная разработка правил обмена в «Конвертация данных 2.1» (КД 2.0) через MCP-toolkit к живой ИБ. Создание/чтение/изменение Конвертаций, ПКО, ПКС, ПКЗ, ПВД, ПОД в справочниках КД и выгрузка итогового XML штатными обработками КД (ВыгрузкаКонвертации, ВыгрузкаРегистрации, Загр
Программная работа с «Конвертация данных, редакция 3.1» (КД 3.1) через MCP-toolkit (HTTP API) к живой ИБ: инспекция и создание Конвертаций, ПКО, ПКС, ПКПД, ПОД, теневой модели метаданных (Конфигурации/Объекты/Свойства/Релизы) и слоя формата EnterpriseData (ВерсииФормата/ОбъектыФо
Справочник по HTTP-API LM Studio (сервер локальных моделей, обычно порт 1234). Используй когда надо программно управлять моделями на LM Studio - узнать что загружено, загрузить или выгрузить модель, задать длину контекста и параллельность, отключить размышления модели, - а также
Конвертируй Markdown-файл в DOCX. Используй когда пользователь просит конвертировать, преобразовать .md в .docx, сделать Word из Markdown
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.
/smart-fix
Smart fix
Intelligent issue resolution with multi-agent debugging, root cause analysis, and verified fix implementation
/typescript-scaffold
Typescript scaffold
Scaffold a TypeScript project (Next.js, React with Vite, Node.js API, or library) with pnpm, testing, and dev tooling
/ai-assistant
Ai assistant
Build AI assistant application with NLU, dialog management, and integrations
/langchain-agent
Langchain agent
Create LangGraph-based agent with modern patterns
/prompt-optimize
Prompt optimize
Optimize prompts for production with CoT, few-shot, and constitutional AI patterns
/finetune
Finetune
Run the eval-gated fine-tuning lifecycle end to end — eval harness, method selection, data, environment, training, checkpoint gate, export
/promote-checkpoint
Promote checkpoint
Re-gate an existing fine-tuned checkpoint against the current eval harness and export it on PROMOTE
/ml-pipeline
Ml pipeline
Orchestrate specialized agents to build a production ML pipeline from data analysis through training, deployment, and monitoring
/find
Find
Quick gallery search. Use when user runs /meigen-ai-design:find with keywords to browse inspiration.
/gen
Gen
Quick image generation. Use when user runs /meigen-ai-design:gen with a prompt. Skips intent assessment, generates directly.
/multi-platform
Multi platform
Orchestrate cross-platform feature development across web, mobile, and desktop with API-first architecture
/monitor-setup
Monitor setup
Set up monitoring and observability with Prometheus metrics, Grafana dashboards, distributed tracing, log aggregation, and alerting
/slo-implement
Slo implement
Implement SLOs with SLI selection, error budgets, burn-rate alerting, dashboards, and reporting
/ai-review
Ai review
Run an AI-assisted code review that combines static analysis tools with AI review of security, performance, and architecture
/multi-agent-review
Multi agent review
Coordinate specialized review agents in parallel or in sequence and synthesize their findings into one code review
/certify
Certify
Full quality certification with badge
/compare
Compare
Compare two skills head-to-head
/eval
Eval
Evaluate a plugin or skill for quality
/audit-chain
Audit chain
Verify every receipt in ./receipts/receipts.jsonl against the signer's public key. Detects tampered or malformed receipts across the audit trail.
/verify-receipt
Verify receipt
Verify a single Ed25519-signed receipt file against the signer's public key. Returns exit 0 if valid, 1 if tampered, 2 if malformed or the key is missing.
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