Develop and Automate 1C:Enterprise Solutions
AI-agent skill set covering the full 1C:Enterprise 8.3 dev cycle - configs, forms, roles, extensions, database ops, web publishing, and testing.
w-2026-09-06Add to Favorites
Why it matters
Leverage comprehensive 1C:Enterprise 8.3 development expertise to build, configure, and automate complex business solutions, ensuring efficient data processing and system integration.
Outcomes
What it gets done
Full development cycle for 1C:Enterprise 8.3 configurations and extensions.
Create data processors, forms, and manage roles for enhanced functionality.
Implement web testing for robust application validation.
Automate data processing and integration tasks within the 1C ecosystem.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/1c-enterprise-skills | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
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Overview
1C Enterprise Skills
1C Enterprise Skills is an AI-agent skill set (built for Claude Code, ported to 13 other platforms) covering the full 1C:Enterprise 8.3 development cycle - configurations, extensions, external processors and reports, managed forms, roles, data composition schemas, metadata objects, database operations, web publishing, and web-client testing - via ready abstractions over 1C's XML formats and configurator CLI. Use it for any 1C:Enterprise 8.3 development task instead of hand-editing XML or the configurator's batch mode; EPF/ERF build/disassembly needs a real 1C:Enterprise install and web testing needs Node.js 18+, while XML-generation skills work without the platform present.
What it does
1C Enterprise Skills is a large set of AI-agent skills (built primarily for Claude Code, with ports to 13 other platforms) covering the full 1C:Enterprise 8.3 development cycle: creating configurations, extensions, external data processors (EPF) and reports (ERF), editing managed forms, roles, data composition schemas, and metadata objects, loading changes into an information base, updating and running it, publishing on a web server via a portable Apache, testing through the 1C web client, and recording video instructions. The skills give the model ready abstractions over 1C's XML export formats and the configurator's CLI, so it works at the level of the task rather than the file format, and the web-testing skill gives it a way to actually see and drive the 1C web-client interface.
When to use - and when NOT to
Use it on any 1C:Enterprise 8.3 development task where you'd otherwise hand-edit XML configuration exports or shell out to the 1C configurator's batch mode - the skill set covers roughly 18 categories spanning EPF/ERF processors and reports, managed forms, roles, data composition schemas, 23 types of configuration metadata objects, extensions, subsystems, XDTO packages, database operations (13 skills, including Git-based config loading and configuration-store management), and web publishing/testing. Building and disassembling EPF/ERF files needs a real 1C:Enterprise 8.3 install, but the XML-generation skills themselves work without the platform present; browser-based testing (/web-test) needs Node.js 18+. The primary, maintained runtime is PowerShell for Windows; a Python port exists for Linux/Mac or when PowerShell isn't available, with the PS1 scripts treated as the master version the Python port derives from. The project describes itself as actively developed, with new capabilities, bug fixes, and optimization ongoing.
Inputs and outputs
Input is a natural-language description of the 1C development task - the skills auto-activate based on their description metadata, so you don't need to memorize slash commands, though explicit slash commands (e.g. /epf-init MyProcessor) are available for precise control. Several skill groups also accept a JSON DSL as structured input (Form DSL, Role DSL, SKD DSL, MXL DSL) that compiles directly into the corresponding 1C XML format, and decompiles back from XML to JSON for editing. Output is generated or modified 1C artifacts - XML configuration exports, compiled EPF/ERF files, database updates, a running web-published instance, or a recorded video walkthrough with subtitles, highlighting, and text-to-speech narration.
Integrations
git clone https://github.com/Nikolay-Shirokov/cc-1c-skills.git tools/cc-1c-skills
python tools/cc-1c-skills/scripts/switch.py claude-code --project-dir .
Skills install by copying .claude/skills/ into a project root, as a Claude Code plugin (/plugin marketplace add + /plugin install), as an OpenAI Codex plugin, or via the switch.py installer, which supports copy mode (an independent snapshot, updated by rerunning) or an experimental link mode (a symlink/junction that picks up updates via git pull, Claude Code only, with a documented __dirname resolution quirk for Node-based skills like /web-test). Built on the open Agent Skills standard, the skill set ships pre-built ports for 13 other platforms beyond Claude Code - Cursor, Codex, GitHub Copilot, Augment, Cline, Kilo Code, Kiro, Gemini CLI, OpenCode, Roo Code, Windsurf, Yandex Code Assistant, and generic Agent Skills - each auto-rebuilt from the same source on every change.
Who it's for
Developers and teams building on 1C:Enterprise 8.3 who want an AI coding agent to handle the platform's XML-heavy configuration format, configurator CLI, and web-client testing directly, rather than working through 1C's native Designer tooling by hand.
FAQ
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Discussion
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