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lushly-dev

Official

@lushly-dev

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2Public Repos
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64Published Skills

Provides comprehensive engineering standards, architectural guidance, and quality assurance protocols for modern software development and agent-centric system design.

Skills Distribution
DomainDeveloper To...Software Architect.. (30%)Quality Assurance .. (30%)System Integration.. (25%)Technical Document.. (15%)

Agent Skills by lushly-dev

Showing 64 vetted skills indexed across 2 GitHub repositories.

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1

botcore-architecture

Explain botcore architecture for integration and troubleshooting across plugins, MCP, and connectors.

Official
Advanced
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botcore-principles

Clarify botcore design principles for architecture, memory scoping, and secure interactions.

Official
Advanced
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4

manage-concurrency

Provides guidance on concurrency and async patterns for TypeScript and Python.

Official
Advanced
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4

build-mcp-servers

Build FastMCP 2.x servers with token budgets and tool consolidation.

Official
Intermediate
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4

run-dev-checks

Execute linting, testing, building, and static analysis checks across languages.

Official
Advanced
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4

write-commits

Generate Git commit messages following the Conventional Commits specification.

Official
Intermediate
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4

handle-errors

Design error handling strategies for TypeScript and Python applications.

Official
Advanced
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manage-environment

Audit Python and Node.js environments for package conflicts and PATH issues.

Official
Advanced
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review-code

Review code, specs, and proposals with structured BLOCKER/IMPROVEMENT/PRAISE classifications.

Official
Advanced
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do-review

Review code changes across correctness, security, testing, and performance dimensions.

Official
Intermediate
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4

afd-directclient

Execute commands between co-located AI agents within a Node.js process.

Official
Advanced
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4

explore-css

Track CSS feature specifications, browser support, and adoption tiers.

Official
Intermediate
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build-botcore-plugins

Guide BotCore plugin development from protocol implementation to distribution.

Official
Intermediate
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design-apis

Guide API design across REST, GraphQL, and gRPC with versioning and error handling.

Official
Advanced
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audit-licenses

Audit OSS dependency licenses and generate SBOMs in CycloneDX and SPDX formats.

Official
Advanced
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design-content

Guide UX writing for user-facing interface text and terminology.

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Basic
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audit-security

Audit web applications, APIs, MCP servers, and AI agents for OWASP/CWE vulnerabilities.

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Advanced
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model-data

Guide database schema design, migrations, query optimization, and data validation.

Official
Advanced
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implement-caching

Guide caching strategy selection and implementation across HTTP, Redis, and database layers.

Official
Advanced
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write-specifications

Generate technical specifications and SPEC.md files using Spec-Driven Development.

Official
Advanced
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afd-typescript

Implement TypeScript AFD commands with Zod schemas and MCP server setup.

Official
Intermediate
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manage-projects

Orchestrate GitHub Projects, issues, and parallel Claude agent waves for feature lifecycle management.

Official
Advanced
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configure-botcore

Configure botcore projects via TOML files and environment variables.

Official
Intermediate
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4

do-clean-repo

Scan and clean repository clutter including stale branches, orphaned worktrees, and build output.

Official
Intermediate

Frequently Asked Questions About lushly-dev

FAQPage Schema
What specific engineering tasks are supported by these capabilities?

These capabilities support full-lifecycle software engineering, including architectural design, dependency auditing, security vulnerability scanning, performance optimization, and standardized release management across TypeScript, Python, and Rust environments.

Which technical personas benefit most from these standards?

Software architects, senior backend engineers, and DevOps practitioners benefit from these structured patterns for building robust, maintainable, and secure distributed systems.

What are the primary prerequisites for implementing these standards?

Implementation requires a repository environment supporting Node.js or Python, familiarity with MCP protocols, and adherence to defined configuration schemas like TOML or YAML for project-specific settings.