LLM Mart Basic

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

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.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Turn a GAIA workflow misfire into a redacted, classified, filing-ready bug report in one read-only pass. Self-diagnoses config issues inline; files probable bugs upstream on confirmation.

Judge-the-form, human-gated hardening. Reviews recurring code-audit-frontend findings and, with approval, drafts the lowest-context-weight form (deterministic check / skill / path-scoped prose rule) into the working tree. Pass `list` to see live candidates or `why <finding_class>` to explain one.

Initialize a new project from the GAIA React template, renames, strips GAIA branding, configures i18n, installs Claude skills/plugins.

Plan a complex feature using GAIA's task-orchestration pattern, structures the work into fresh-context subagent phases for your approval. Does not implement.

Cut a new GAIA release, bump version, graduate CHANGELOG, regenerate manifest, open release PR, then tag on merge. Maintainer-only.

Detect and, on explicit consent, additively append the languages Serena is not indexing to the `languages:` list in `.serena/project.yml`, then prompt a Serena restart. Never mutates without a yes; inert without Serena.

Author an immutable SPEC artifact through Socratic discovery (spec-kit wrapper), then STOP. Terminal, never runs /gaia-plan; it prints a /gaia-plan prompt the human pastes into a fresh session. Pass `auto <description>` for non-interactive mode that answers its own questions.

Maintainer-only autonomous health audit + auto-heal loop. Runs N=3 fresh-team audit-fix-audit cycles with circuit breakers, reports an F-to-A+ verdict (folding in the shared Claude-integration fitness grade) or escalates.

Single post-init onboarding command; detects situation, runs only owed phases; safe to re-run. --reconfigure rotates token and re-selects tools.

GAIA before_specify hook: constitution placeholder check + spec-kit version-pin drift detection.

GAIA after_specify hook: immutability lint over the just-written SPEC artifact.

Close a plan after implementation+merge. Offers wiki-promote for the plan's consolidated SUMMARY.md, cold-consolidates an out-of-band merge, then early-reaps the local plan folder once cost is represented in cost.jsonl.

GAIA self-review: pre-gate-2 review pass on the in-progress SPEC draft.

Close a SPEC after implementation+merge. Optional drain of deferred wiki-promote, cold-consolidates an out-of-band merge into SUMMARY.md, then early-reaps the local SPEC folder once cost is represented in cost.jsonl.

GAIA Socratic discovery wrapper: /speckit-specify for the initial draft, then GAIA's own Socratic clarify loop.

GAIA before_implement hook: render PO-authored UATs into Playwright e2e specs at .playwright/e2e/spec-NNN/.

Promote merged SPEC or plan content into the GAIA wiki.

This project uses the GAIA preset. Bare `/speckit-clarify` is not the clarify path here: core clarify writes an off-shape artifact (a `## Clarifications` / `### Session` block with five-word answers) and carries a question cap GAIA does not use. Run `/gaia-spec` instead — it driv

GAIA-wrapped /speckit-specify: writes through core, then relocates the artifact to .gaia/local/specs/SPEC-NNN/SPEC.md and stamps GAIA frontmatter.

Show or configure the compact Fallow Impact statusline in Claude Code

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.