Agent skill

Write Plan

by Arman-Kudaibergenov in Arman-Kudaibergenov/1c-ai-development-kit

Этот скилл MUST быть вызван когда есть design.md и нужно разбить доработку на атомарные задачи (2-5 мин) с точными путями файлов и критериями проверки в tasks.md.

AGPL-3.0Auto-check: notesAgent Workflows

Install Write Plan

skills CLI

$ npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Arman-Kudaibergenov/1c-ai-development-kit write-plan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/write-plan .claude/skills/write-plan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "write-plan" agent skill from https://github.com/Arman-Kudaibergenov/1c-ai-development-kit/tree/master/.claude/skills/write-plan into .claude/skills/write-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "write-plan", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Arman-Kudaibergenov/1c-ai-development-kit/tree/master/.claude/skills/write-plan

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Arman-Kudaibergenov/1c-ai-development-kit write-plan --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/write-plan .agents/skills/write-plan && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "write-plan" agent skill from https://github.com/Arman-Kudaibergenov/1c-ai-development-kit/tree/master/.claude/skills/write-plan into .agents/skills/write-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "write-plan", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Arman-Kudaibergenov/1c-ai-development-kit write-plan --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/write-plan .cursor/skills/write-plan && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "write-plan" agent skill from https://github.com/Arman-Kudaibergenov/1c-ai-development-kit/tree/master/.claude/skills/write-plan into .cursor/skills/write-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "write-plan", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git --path .claude/skills/write-plan

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Arman-Kudaibergenov/1c-ai-development-kit write-plan --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/write-plan .gemini/skills/write-plan && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "write-plan" agent skill from https://github.com/Arman-Kudaibergenov/1c-ai-development-kit/tree/master/.claude/skills/write-plan into .gemini/skills/write-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "write-plan", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Arman-Kudaibergenov/1c-ai-development-kit write-plan

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/write-plan .github/skills/write-plan && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "write-plan" agent skill from https://github.com/Arman-Kudaibergenov/1c-ai-development-kit/tree/master/.claude/skills/write-plan into .github/skills/write-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "write-plan", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Arman-Kudaibergenov/1c-ai-development-kit write-plan --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/write-plan .opencode/skills/write-plan && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "write-plan" agent skill from https://github.com/Arman-Kudaibergenov/1c-ai-development-kit/tree/master/.claude/skills/write-plan into .opencode/skills/write-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "write-plan", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: write-plan
GitHub stars: 166
Token cost: ~1.3k tokens
SKILL.md length: 282 words
Files: 1
Skills in repo: 50
Repo updated: May 25, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

Tasks that involve Design tokens
SKILL.md covers Вход, Выход, Процесс and Правила качества плана, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Tasks that involve Brainstorming

What it does

Write Plan is an agent skill from Arman-Kudaibergenov/1c-ai-development-kit. Этот скилл MUST быть вызван когда есть design.md и нужно разбить доработку на атомарные задачи (2-5 мин) с точными путями файлов и критериями проверки в tasks.md. SHOULD также вызывать как промежуточный шаг между brainstorm и subagent-dev. Do NOT использовать для обсуждения идеи — используй brainstorm; для выполнения задач — используй subagent-dev.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Design tokens, Brainstorming and Subagents. The repository describes itself as: Comprehensive AI agents, skills and rules toolkit for 1C:Enterprise development in Cursor IDE. The licence is AGPL-3.0.

When your agent uses it

Tasks that involve Design tokens
Tasks that involve Brainstorming
Tasks that involve Subagents

Example prompts

“/write-plan”

Requirements

Pre-approved tools (allowed-tools): Read, Write, Glob, Grep, Bash, mcp__rlm-toolkit__rlm_route_context

What it can do on your machine

Read from SKILL.md and the folder at commit 92d389e. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Write
- Glob
- Grep
- Bash
- mcp__rlm-toolkit__rlm_route_context
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Write Plan loads about 1.3k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 282 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~90
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

allowed-tools: Read, Write, Glob, Grep, Bash, mcp__rlm-toolkit__rlm_route_context

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Arman-Kudaibergenov/1c-ai-development-kit at commit 92d389e, republished under its AGPL-3.0 licence (© Arman-Kudaibergenov). 282 words, ~1,267 tokens.

Download SKILL.mdSave it as .claude/skills/write-plan/SKILL.md (or your agent's skills folder).

name: write-plan
description: Этот скилл MUST быть вызван когда есть design.md и нужно разбить доработку на атомарные задачи (2-5 мин) с точными путями файлов и критериями проверки в tasks.md. SHOULD также вызывать как промежуточный шаг между brainstorm и subagent-dev. Do NOT использовать для обсуждения идеи — используй brainstorm; для выполнения задач — используй subagent-dev.
allowed-tools: Read, Write, Glob, Grep, Bash, mcp__rlm-toolkit__rlm_route_context
argument-hint: <путь к design.md или feature-name>

/write-plan — Детальный план реализации

Превращает согласованный дизайн в исполняемый список задач для субагентов или последовательного выполнения.

Вход

Аргумент $ARGUMENTS — одно из:

Путь к design.md: openspec/changes/my-feature/design.md
Название фичи: my-feature (ищет openspec/changes/my-feature/design.md)
Ничего — ищет единственный активный change в openspec/changes/

Выход

openspec/changes/<feature>/tasks.md — исполняемый чеклист задач.

Процесс

Шаг 1 — Загрузка контекста

rlm_route_context(query="project architecture patterns 1C metadata")

Прочитай:

openspec/changes/<feature>/design.md — согласованный дизайн
openspec/project.md — если есть, соглашения проекта
Связанные XML/BSL файлы из design.md через Grep/Glob

Шаг 2 — Декомпозиция на задачи

Правила декомпозиции:

Каждая задача = 2-5 минут работы субагента
Одна задача — одна атомарная операция (создать объект / написать модуль / добавить форму)
Зависимости явные: «Задача 3 требует завершения Задачи 1»
Порядок: сначала метаданные → потом BSL → потом формы → потом интеграции → валидация

Типовые категории задач для 1С:

Категория	Примеры задач
Метаданные	Создать справочник, добавить реквизит, создать регистр
Модули	Написать ОбщийМодуль, ObjectModule, ManagerModule
Формы	Создать форму, добавить элементы, написать модуль формы
Роли	Создать роль, настроить права
Подсистемы	Добавить объекты в подсистему
Интеграции	Подписки на события, регистрация в БСП
Валидация	Проверить синтаксис, обновить БД

Шаг 3 — Написание tasks.md

Сохрани в openspec/changes/<feature>/tasks.md.

Формат заголовка

markdown

# <Название фичи> — План реализации

> **Для субагента:** используй `/subagent-dev openspec/changes/<feature>/tasks.md`
> для выполнения задач по одной с ревью между ними.

**Цель:** <одно предложение — что строим>

**Дизайн:** `openspec/changes/<feature>/design.md`

**Порядок выполнения:** последовательно, если не указано иное

---

Формат каждой задачи

markdown

## Задача N: <Глагол + существительное>

**Статус:** `[ ]`

**Зависимости:** Задача X (или «нет»)

**Что делаем:**
<1-3 предложения — суть задачи>

**Файлы:**
- Создать: `src/Catalogs/МойСправочник/`
- Изменить: `src/CommonModules/МойМодуль/Module.bsl`
- Скилл: `/meta-compile` или `/form-compile` и т.д.

**Шаги:**
1. <конкретное действие — не «написать код», а «добавить реквизит Статус типа Перечисление.СтатусыЗаказа»>
2. <следующий шаг>
3. ...

**Проверка:**
- [ ] <критерий 1 — конкретный и проверяемый>
- [ ] <критерий 2>
- [ ] Синтаксис BSL проверен через `1c-syntax-checker`

**Коммит:** `feat: <краткое описание>`

Шаг 4 — Финальная задача: валидация

Последняя задача в плане всегда:

markdown

## Задача N: Финальная валидация

**Статус:** `[ ]`

**Зависимости:** все предыдущие задачи

**Шаги:**
1. Запустить `/cf-validate` или `/epf-validate` (по типу объекта)
2. Если нужно обновление БД: `/db-update`
4. Проверить критерии приёмки из design.md

**Проверка:**
- [ ] Конфигурация валидна
- [ ] Все критерии из design.md выполнены

Шаг 5 — Предложение режима выполнения

После сохранения tasks.md предложи два варианта:

План сохранён: openspec/changes/<feature>/tasks.md
Задач: N

Как выполнять?

1. /subagent-dev openspec/changes/<feature>/tasks.md
   — Субагенты на каждую задачу + ревью между задачами
   — Лучше для сложных доработок (3+ задачи, несколько модулей)

2. /openspec-apply <feature>
   — Последовательное выполнение в текущей сессии
   — Лучше для простых задач (1-3 задачи, один объект)

Не запускать автоматически — пользователь выбирает сам.

Правила качества плана

Точные пути — не src/modules/, а src/CommonModules/УправлениеЗаказами/Module.bsl
Точные скиллы — указывай какой скилл использовать для каждой задачи
Проверяемые критерии — не «код работает», а «форма открывается, список заполняется»
YAGNI — не планировать то, чего нет в design.md
Без лишних коммитов — один коммит на задачу, не на каждый файл
BSL всегда через checker — каждая задача с BSL кодом включает проверку синтаксиса

Анти-паттерны

❌ Задача «Реализовать весь модуль» — слишком большая, разбить
❌ Проверка «проверить что всё работает» — непроверяемо, конкретизировать
❌ Задачи без указания файлов
❌ Пропустить задачу финальной валидации
❌ Начать выполнение не дождавшись выбора пользователя

Files

Just SKILL.md in .claude/skills/write-plan of Arman-Kudaibergenov/1c-ai-development-kit.

Open the folder on GitHubat commit 92d389e

Compare with similar skills

Write Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Write Plan compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Write Plan this skillArman-Kudaibergenov/1c-ai-development-kit	166	—	~1.3k	Automated safety check: Notes	AGPL-3.0	4 mo ago
UX Create Manifesth0x91b/dev-3.0	307	—	~2.7k	Automated safety check: Pass	Apache-2.0	yesterday
Figma From Code Setup Tokensbitovi/ai-enablement-prompts	121	—	~2.4k	Automated safety check: Pass	MIT	27 days ago
BrainstormAedelon/claude-code-blueprint	120	—	~1.1k	Automated safety check: Pass	Custom licence	7 mo ago
Cp Exploretangziwen/CubeMiniGame	359	—	~535	Automated safety check: Pass	MIT	19 days ago
Round TableSoul-Brews-Studio/arra-oracle-skills-cli	122	—	~2.1k	Automated safety check: Pass	MIT	5 days ago

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Questions about Write Plan

What does Write Plan do?

Этот скилл MUST быть вызван когда есть design.md и нужно разбить доработку на атомарные задачи (2-5 мин) с точными путями файлов и критериями проверки в tasks.md. Write Plan is an agent skill from Arman-Kudaibergenov/1c-ai-development-kit.md.

When should I use Write Plan?

Write Plan fits situations like: tasks that involve Design tokens; tasks that involve Brainstorming; tasks that involve Subagents.

How do I install Write Plan in Claude Code?

Run `npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a claude-code`. Or copy the skill folder (.claude/skills/write-plan in Arman-Kudaibergenov/1c-ai-development-kit) into .claude/skills/write-plan in your project. Claude Code loads it when a task matches its description.

How do I install Write Plan in Codex?

Run `npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a codex`. Or copy the skill folder (.claude/skills/write-plan in Arman-Kudaibergenov/1c-ai-development-kit) into .agents/skills/write-plan in your project. Codex loads it when a task matches its description.

Can I use Write Plan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill write-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/write-plan, .gemini/skills/write-plan, .github/skills/write-plan and .opencode/skills/write-plan in your project.

What does Write Plan need to run?

SKILL.md names no scripts, command-line tools or credentials: Write Plan is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep, Bash, mcp__rlm-toolkit__rlm_route_context.

Does Write Plan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Write Plan safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Write Plan use?

Write Plan is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Write Plan use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Write Plan?

Skills that share tags, products or a category with Write Plan: UX Create Manifest (h0x91b/dev-3.0, 307 stars), Figma From Code Setup Tokens (bitovi/ai-enablement-prompts, 121 stars), Brainstorm (Aedelon/claude-code-blueprint, 120 stars) and Cp Explore (tangziwen/CubeMiniGame, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Write Plan?

Arman-Kudaibergenov (a GitHub user) maintains it in Arman-Kudaibergenov/1c-ai-development-kit, which has 166 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on May 25, 2026.

Source: Arman-Kudaibergenov/1c-ai-development-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Write Plan

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

/write-plan — Детальный план реализации

Вход

Выход

Процесс

Шаг 1 — Загрузка контекста

Шаг 2 — Декомпозиция на задачи

Шаг 3 — Написание tasks.md

Формат заголовка

Формат каждой задачи

Шаг 4 — Финальная задача: валидация

Шаг 5 — Предложение режима выполнения

Правила качества плана

Анти-паттерны

Files

Compare with similar skills

Similar skills

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Questions about Write Plan