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KingInYellows

Official

@kinginyellows

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3Public Repos
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34Published Skills

Offers standardized architectural patterns and governance frameworks for multi-agent systems, repository maintenance, and technical documentation lifecycle management.

Skills Distribution
DomainDeveloper To...Multi-Agent Orches.. (40%)Repository Governa.. (30%)Documentation Life.. (30%)

Agent Skills by KingInYellows

Showing 34 vetted skills indexed across 1 GitHub repositories.

KingInYellowsKingInYellows

ce-compound-refresh

Audit docs/solutions against the codebase and apply evidence-based updates.

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Advanced
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ce-code-review

Orchestrate multiple reviewer personas to detect code issues and generate deduplicated reports.

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Advanced
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ce-resolve-pr-feedback

Coordinate parallel agents to triage and resolve GitHub PR feedback threads.

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Advanced
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ce-compound

Coordinate parallel subagents to document solved problems into Markdown artifacts.

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Advanced
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ce-doc-review

Coordinate multi-agent document reviews to surface role-specific issues.

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Advanced
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ce-agent-native-architecture

Orchestrate loop-based prompts with atomic tools for agent-native architectures.

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Advanced
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ce-agent-native-audit

Audit agent-native architecture across eight principles and produce a scored report.

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Advanced
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ce-worktree

Create isolated git worktrees for parallel feature development and PR reviews.

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Advanced
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ce-debug

Diagnose bugs through a phase-based investigation from symptom to root cause.

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Advanced
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ce-ideate

Generate grounded ideation with multi-frame critique from repository context.

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Advanced
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ce-optimize

Orchestrate metric-driven iterative experiments with baselines, gates, and durable logs.

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Advanced
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pr-review-workflow

Centralize PR review patterns and conventions for yellow-review commands and agents.

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Basic
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ci-conventions

Standardize CI failure analysis for self-hosted GitHub Actions runners.

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Advanced
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diagnose-ci

Diagnose GitHub Actions CI failures on self-hosted runners using failure patterns F01-F12.

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Intermediate
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test-conventions

Standardize config schemas, severity levels, and credential handling for yellow-browser-test.

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Intermediate
KingInYellowsKingInYellows

agent-browser-patterns

Document agent-browser usage patterns for refs, sessions, and safety rules.

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Intermediate
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research-patterns

Enforce slug naming and markdown structure for research outputs.

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Intermediate
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debt-conventions

Define unified debt scoring frameworks and JSON output schemas for scanner agents.

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Advanced
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chatprd-conventions

Document and enforce ChatPRD conventions for MCP interactions.

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Intermediate
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semgrep-conventions

Standardize Semgrep integration conventions for API usage, token handling, and triage workflows.

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Advanced
KingInYellowsKingInYellows

memory-query

Query ruvector's vector memory store before acting with graceful degradation.

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Advanced
KingInYellowsKingInYellows

ruvector-conventions

Define MCP schema and naming conventions for ruvector vector memory workflows.

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Intermediate
KingInYellowsKingInYellows

agent-learning

Record and retrieve agent learnings with RRF-based ranking and quality gates.

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Advanced
KingInYellowsKingInYellows

docs-conventions

Enforce standardized documentation templates and Mermaid diagram conventions across repositories.

Official
Intermediate

Frequently Asked Questions About KingInYellows

FAQPage Schema
What specific tasks are enabled by these architectural patterns?

These patterns enable systematic code review orchestration, GitHub PR feedback triage, documentation lifecycle management, and standardized CI failure diagnostics. They provide structured frameworks for multi-agent interaction, vector memory querying, and repository-wide configuration management to ensure consistency across complex development environments.

Which technical personas benefit from these conventions?

Platform engineers, technical leads, and repository maintainers benefit from these conventions. They are designed for teams managing multi-agent architectures, complex GitHub repository structures, and those requiring standardized protocols for code quality, documentation, and technical debt tracking.

What are the prerequisites for implementing these patterns?

Implementation requires a repository environment utilizing GitHub, standard Git version control, and support for MCP-compliant integrations. Users should have existing familiarity with YAML-based configuration, Semgrep for security analysis, and structured Markdown documentation practices to effectively adopt these standardized schemas and conventions.