KIBERTUM
Official@kibertum · Russian Federation
AI-driven technologies
Agent Skills by KIBERTUM
Showing 13 vetted skills indexed across 1 GitHub repositories.
commit
Analyze diffs and generate conventional git commit messages with pre-commit checks.
checkpoint
Save context snapshots and update CLAUDE.md for handoff.
test
Automate test execution and generation across detected frameworks.
plan
Plan tasks with complexity scoring and stack detection into execution steps.
start
Initialize project state, verify database readiness, and update CLAUDE.md for a development session.
explore
Guide time-bounded exploration of unfamiliar domains with documented findings.
end
Archive metrics, decisions, and handoff data to the project database.
interview
Ask up to three targeted questions to clarify requirements before coding.
review
Automate structured code reviews and generate consolidated findings reports.
task
Load task context by slug and log plan progress via MCP tooling.
brain
Search and store cross-project knowledge across Notion databases and local mirrors.
ship
Automate task review, testing, and commit for repository closure.
debug
Reproduce software bugs, isolate root causes, and apply minimal fixes.
Frequently Asked Questions About KIBERTUM
FAQPage SchemaWhat specific development tasks does KIBERTUM enable?▼
KIBERTUM enables systematic project initialization, task complexity scoring, automated test execution, structured code reviews, and repository closure. It facilitates bug isolation, requirement clarification through targeted questioning, and the maintenance of project context snapshots for seamless team handoffs.
Which personas benefit most from these technical capabilities?▼
Software engineers, technical leads, and project managers benefit from these capabilities. The system is designed for developers requiring consistent repository hygiene, automated quality checks, and centralized knowledge management across complex, multi-repository environments.
What are the prerequisites for implementing these capabilities?▼
Implementation requires a repository environment compatible with standard version control and documentation formats like CLAUDE.md. Integration with Notion databases is necessary for the knowledge retrieval features, while local project mirrors must be configured to enable cross-project search and storage functionality.