DuckKota
Community@DuckKota
DuckKota provides software engineering discipline skills covering domain modeling, Git worktree isolation, bug diagnosis, codebase architecture review, and GitLab CLI operations.
Agent Skills by DuckKota
Showing 9 vetted skills indexed across 1 GitHub repositories.
DuckKotadomain-modeling
Build and maintain project domain glossaries and architecture decision records.
DuckKotausing-git-worktrees
Creates isolated git worktree workspaces with baseline test verification before feature implementation.
DuckKotawriting-for-agents
Guides writing skills, AGENTS.md, and CLAUDE.md documents for agent consumption.
DuckKotadiagnosing-bugs
Diagnose hard bugs and performance regressions through a structured six-phase feedback-loop workflow.
DuckKotaimprove-codebase-architecture
Scan a codebase for module deepening opportunities and present them as a visual HTML report.
DuckKotacodebase-design
Designs deep modules with small interfaces, clean seams, and testable adapters.
DuckKotaglab
Guides GitLab CLI usage for merge requests, issues, pipelines, and API calls.
DuckKotaverification-before-completion
Enforces running verification commands before claiming work is complete or passing.
DuckKotagrilling
Interviews users in structured rounds to stress-test plans and design decisions.
Frequently Asked Questions About DuckKota
FAQPage SchemaWhat tasks can I accomplish with DuckKota's skills?▼
You can build domain models and ADRs, isolate feature work in git worktrees, diagnose hard bugs and performance regressions, scan codebases for architecture-deepening opportunities, design deep module interfaces, operate the GitLab CLI (glab), and verify work with evidence before claiming completion.
Who should use DuckKota's skill set?▼
Software engineers and technical leads who maintain codebases, write architecture decision records, review module design, debug regressions, or manage GitLab repositories from the command line benefit most from these skills.
How do the verification and diagnosis skills work in practice?▼
The diagnosing-bugs skill runs a structured diagnosis loop when something is broken, failing, or slow. The verification-before-completion skill requires running verification commands and confirming actual output before any commit, PR, or success claim is made.
What prerequisites or dependencies do these skills require?▼
The using-git-worktrees skill needs git with worktree support or native workspace isolation. The glab skill requires the GitLab CLI installed and authenticated for preflight checks, repository targeting, and direct GitLab API calls. Other skills operate on codebase and documentation context.
How do the architecture and design skills improve a codebase?▼
The improve-codebase-architecture skill scans for deepening opportunities and presents them in a visual HTML report, while codebase-design supplies shared vocabulary for module interfaces, seams, testability, and AI-navigability. The grilling skill stress-tests plans and design decisions.