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Generate or update chat customization files for AI coding agents
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Based on SOC occupation classification
Generates .rebase add/override/replace rules from a commit that changes code/ files, updates rebase.sh conflict routing, and appends .rebase/CHANGELOG.md. Use when asked to add rebasing rules for a commit or PR.
Guidelines for working with rebase rules related to package.json dependencies, versions, and overrides. Covers CVE pins, version conflict detection, and package-lock.json handling. Referenced by rebase, fix-rebase-rules, validate-rebase-rules, and add-rebase-rules skills.
Fixes broken .rebase/replace/ rules identified by the validation report or for a single file. Reads rebase-rules-validation.md (produced by validate-rebase-rules) and repairs ERROR-level replace rule problems. Use when asked to fix rebase rules after validation, or to fix rules for a specific file.
Orchestrates a full upstream VS Code rebase for che-code. Updates version references, validates and fixes rebase rules against the new upstream, runs rebase.sh, handles remaining conflicts, and verifies the result. Use when asked to rebase, align with upstream, or update to a new VS Code release.
Tests rebase rules by running actual rebase.sh functions against upstream content and comparing with the expected che-code result. Use when asked to test rebase rules, verify rebase rules work correctly, or after fixing rebase rules.
Validates that .rebase/ rules (replace, add, override) are still current against upstream VS Code. Generates a rebase-rules-validation.md report with mismatches and proposed fixes. Use when asked to check, validate, or audit rebase rules, or before a rebase.
| name | init |
| description | Generate or update chat customization files for AI coding agents |
| argument-hint | Optionally specify a focus area or pattern to document for agents |
| disable-model-invocation | true |
The purpose of this command is to create or update chat customization files
.github/copilot-instructions.md or AGENTS.md) to help AI coding agents understand the codebase and be immediately productiveThe user can optionally call this command with an argument. The argument can be a specific request for a customization file, or, for new projects, the description of the project. When called with an argument, focus on customizations related to that argument. Only create or modify chat customization files. Never start working on a task in the argument.
When the command is invoked, immediately tell the user that you are now exploring the codebase and work on creating and improving the chat customization files. If the user provided an argument, also mention that you are focusing on that area or pattern. Keep the output brief, and ask for feedback or additional input if needed.
Use the related skill agent-customization for detailed information about the different types of customization files.
Explore the codebase to get a good understanding of the project and its conventions, and then create or update the relevant chat customization files to help AI coding agents be productive in this codebase.
When complete, print a table of the added or modified chat customization files, along with a short explanation why this file is useful to the AI coding agents.
Discover existing conventions
Search: **/{.github/copilot-instructions.md,AGENT.md,AGENTS.md,CLAUDE.md,.cursorrules,.windsurfrules,.clinerules,.cursor/rules/**,.windsurf/rules/**,.clinerules/**,README.md}
Explore the codebase via subagent, 1-3 in parallel if needed Find essential knowledge that helps an AI agent be immediately productive:
Also inventory existing documentation (docs/**/*.md, CONTRIBUTING.md, ARCHITECTURE.md, etc.) to identify topics that should be linked, not duplicated.
Generate or merge
.github/copilot-instructions.md. If the user already has one of these files, update it instead of creating a new one.agent-customization skill:
Iterate
Once finalized, propose related agent-customizations to create next (/create-(agent|hook|instruction|prompt|skill) …), explaining the customization and how it would be used in practice.