1c Query Optimization

Community

Desko77

1c-query-optimization

Advanced query patterns for 1C: temporary tables, joins, DCS optimization. Use for complex queries beyond basic rules in query-optimization-tips.md.

Overview

Publisher	Desko77
Repository	`claude-code-skills-1c`
Skill name	`1c-query-optimization`
Stars	88
Forks	17
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Desko77 on GitHub. Read the source before you install it.

Installation

Install the 1c Query Optimization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Desko77/claude-code-skills-1c/tree/main/skills/1c-query-optimization
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Desko77/claude-code-skills-1c.git /tmp/claude-code-skills-1c
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills-1c/skills/1c-query-optimization .claude/skills/1c-query-optimization

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 1c Query Optimization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 1c Query Optimization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 1c Query Optimization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

1C Query Optimization Skill (Advanced Patterns)

Продвинутые паттерны оптимизации запросов. Базовые оптимизации (ВЫРАЗИТЬ, ПРЕДСТАВЛЕНИЕ, ВТ вместо подзапросов, ОБЪЕДИНИТЬ ВСЕ, индексы, СКД) - см. правило query-optimization-tips.md. Анти-паттерны (запрос в цикле, обращение через точку) - см. anti_patterns.md.

Validate Query via AI-EDT

Если сервер AI-EDT подключен (инструменты ai-edt доступны), проверяй оптимизированный запрос через validate_query - убедись, что после рефакторинга нет синтаксических/семантических ошибок. Для запросов СКД: dcsMode=true.

When to Use

Invoke this skill when:

Working with complex multi-step data processing
Optimizing joins and subqueries
Implementing DCS reports
Processing large datasets in portions

Temporary Tables - When to Use

Use temporary tables for:

Complex multi-step data processing
Joining data from multiple sources
Reusing intermediate results

Join vs Subquery (basic choice)

bsl
// PREFERRED: Join (usually faster)
"ВЫБРАТЬ
|	Заказы.Ссылка КАК Заказ,
|	Контрагенты.ИНН КАК ИНН
|ИЗ
|	Документ.ЗаказКлиента КАК Заказы
|		ЛЕВОЕ СОЕДИНЕНИЕ Справочник.Контрагенты КАК Контрагенты
|		ПО Заказы.Контрагент = Контрагенты.Ссылка"

// AVOID: Subquery in SELECT (N+1 problem)
"ВЫБРАТЬ
|	Заказы.Ссылка КАК Заказ,
|	(ВЫБРАТЬ К.ИНН ИЗ Справочник.Контрагенты КАК К
|	 ГДЕ К.Ссылка = Заказы.Контрагент) КАК ИНН
|ИЗ
|	Документ.ЗаказКлиента КАК Заказы"

Avoid Aggregation in Subqueries

bsl
// SLOW: Subquery with aggregation
"ВЫБРАТЬ
|	Номенклатура.Ссылка,
|	(ВЫБРАТЬ СУММА(Остатки.Количество) ...) КАК Остаток
|ИЗ
|	Справочник.Номенклатура КАК Номенклатура"

// FAST: Join with pre-aggregated data
"ВЫБРАТЬ
|	Номенклатура.Ссылка КАК Номенклатура,
|	ЕСТЬNULL(Остатки.КоличествоОстаток, 0) КАК Остаток
|ИЗ
|	Справочник.Номенклатура КАК Номенклатура
|		ЛЕВОЕ СОЕДИНЕНИЕ РегистрНакопления.ТоварыНаСкладах.Остатки КАК Остатки
|		ПО Номенклатура.Ссылка = Остатки.Номенклатура"

Reference: ITS Query Optimization Standards

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

evals/evals.json5 KB

Frequently asked questions

What does the 1c Query Optimization AI skill do?

Advanced query patterns for 1C: temporary tables, joins, DCS optimization. Use for complex queries beyond basic rules in query-optimization-tips.md.

Why use 1c Query Optimization on TypingMind?

Because you install it once and use it with any model. 1c Query Optimization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 1c Query Optimization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Desko77/claude-code-skills-1c/tree/main/skills/1c-query-optimization. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 1c Query Optimization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 1c Query Optimization?

As many as you like. As long as a model supports skills, you can use 1c Query Optimization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 1c Query Optimization AI skill free?

Yes. It is published on GitHub by Desko77 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

1C Query Optimization Skill (Advanced Patterns)

Validate Query via AI-EDT

When to Use

Temporary Tables - When to Use

Join vs Subquery (basic choice)

Avoid Aggregation in Subqueries

Bundled files

Frequently asked questions

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