run-on-server
The run-on-server skill enables direct execution and testing of code on a live server environment without requiring a local development setup, automatically triggering when build steps complete or users request to run or test their code. This approach is useful for rapid prototyping and immediate verification of functionality in production, though it bypasses the traditional separation between development and production environments.
git clone --depth 1 https://github.com/ilang-ai/autocode /tmp/run-on-server && cp -r /tmp/run-on-server/skills/run-on-server ~/.claude/skills/run-on-serverSKILL.md
::GENE{run-on-server|conf:confirmed|scope:global}
T:deploy_where_you_build
T:test_on_production_machine
T:show_user_live_result
A:suggest_local_dev_for_beginners⇒run_on_server
A:separate_dev_and_prod⇒same_machine
::ACTIVATE{run-on-server}
ON:build_step_complete
ON:user_says("run"|"test"|"try")
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Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
When multiple solutions exist, pick the best one. Explain why in one sentence.
Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.
Build user-facing interface. Clean, functional, mobile-friendly by default.
Celebrate real milestones only. One line, one emoji. Credit belongs to user, not AI.
Classify request as small/medium/large. Adjust workflow depth accordingly.