All authors
kuya-egg avatar

Claude Skills by kuya-egg

github.com/kuya-egg
14 skillsA× 140 installs0 views
AndonA

Make software health, failure, degradation, and recovery visible through useful observability and diagnostics. Use when adding logs, metrics, traces, health checks, alerts, incident signals, or operational feedback.

ai-agentsgo
0
11
Genchi GenbutsuA

Inspect the real repository, environment, dependencies, and runtime evidence before designing or changing software. Use for greenfield construction, unfamiliar codebases, uncertain behavior, or any task where assumptions could create rework.

ai-agentsgoapi
0
11
HanseiA

Reflect on failures, incidents, reviews, and completed software work to turn evidence into durable tests, guardrails, documentation, and process improvements.

ai-agentsgorails
0
11
JidokaA

Debug software by making failures visible, reproducing them, finding contributing causes, and adding durable regression protection. Use for bugs, failing tests, incidents, regressions, flaky behavior, and unexplained production errors.

ai-agentsgo
0
11
KaizenA

Improve software continuously through small, safe, behavior-preserving changes that reduce maintenance cost. Use for refactoring, cleanup, technical debt, naming, duplication, dead code, or post-change polish.

ai-agentsrefactoringperformance
0
11
KansoA

Choose simple, maintainable software designs by removing speculative complexity, comparing alternatives, and making explicit tradeoffs. Use for architecture, API, data-model, dependency, and scope decisions.

ai-agentsgoapi
0
11
KataA

Implement software through small, repeatable, integrated vertical slices with clear exit criteria and honest verification. Use when a design is understood and code needs to be built or changed.

ai-agentsgo
0
11
KodawariA

Review software with careful attention to correctness, maintainability, security, operations, and meaningful detail. Use for diffs, branches, pull requests, architecture decisions, or final quality checks.

ai-agentsgoapi
0
11
Monozukuri BlueprintA

Author a greenfield build blueprint in four gated stages — business logic, tech stack, logic-to-stack mapping, and a phase plan — each requiring explicit user approval before the next. Use when building a new project or a substantial new subsystem from scratch; run by monozukuri-core for greenfield tasks.

ai-agentsgo
0
11
Monozukuri CoreA

The one Monozukuri command: routes the task, runs the greenfield blueprint when needed, drives the focused skills smallest-first through checkpoints, and delegates to the host's native subagents where it pays off — inspect reality, change small, verify with evidence, leave software maintainable. Use for greenfield builds, features, refactors, debugging, reviews, migrations, tests, and releases. Skip trivial edits and throwaway scripts.

ai-agentsrustgo
0
11
Monozukuri RouterA

Step 0 of consequential software work under Monozukuri, run by monozukuri-core. Classify the task, assess its risk tier, choose execute or sensei mode, and compose the sequence of Monozukuri skills and the Definition of Done for it. Skip for trivial one-line edits, pure questions, and throwaway scripts.

ai-agentsgosecurity
0
11
NemawashiA

Clarify software goals, constraints, stakeholders, and risks before consequential design or implementation work. Use for greenfield ideas, ambiguous requirements, architecture decisions, or changes where misunderstanding would be costly.

ai-agentsgoapi
0
11
Poka YokeA

Prevent software mistakes through strong boundaries, safe defaults, meaningful tests, and mechanically enforced invariants. Use for TDD, validation, schemas, authorization, edge cases, regression coverage, or reliability-sensitive behavior.

ai-agentsrustexpress
0
11
ShukkaA

Prepare software for responsible release, migration, deployment, rollback, and handoff with evidence about compatibility, health, ownership, and recovery.

ai-agentsrustsecurity
0
11