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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.

Official
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
KingInYellowsKingInYellows

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
KingInYellowsKingInYellows

ce-agent-native-architecture

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

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Advanced
KingInYellowsKingInYellows

ce-agent-native-audit

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

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Advanced
KingInYellowsKingInYellows

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.