lazygophers
Official@lazygophers · Switzerland
A comprehensive repository of technical standards, multi-agent orchestration patterns, and creative world-building frameworks for enterprise software and narrative design.
Agent Skills by lazygophers
Showing 106 vetted skills indexed across 2 GitHub repositories.
rspress-best-practices
Review and troubleshoot Rspress v2 documentation site configurations, navigation metadata, and build behavior.
aidog-frontend-experience
Refine AiDog Tauri and React UI layouts with Liquid Glass theme variables.
aidog-add-platform
Add or update AI platform presets across TypeScript and Rust contract points.
aidog-price-source-update
Update AiDog model pricing and max token metadata in models.json.
aidog-db-migration
Create forward-only SQLite migrations for Aidog schema changes.
rspress-custom-theme
Customize Rspress v2 themes via styling, layout slots, and MDX components.
rspress-description-generator
Generate missing description frontmatter for Rspress documentation pages.
aidog-request-inspect
Retrieve and analyze AiDog proxy requests from a local SQLite log.
aidog-flow-ia
Analyze aidog workflows and information architecture to reduce interaction steps.
skill-smith
Create and optimize self-contained SKILL.md workflow skills from repeated tasks.
github-analysis-skills
Analyzes GitHub projects via MCP servers for metadata, activity, and community health.
explorer-skills
Scan academic, industry, and market data to identify emerging technology trends.
citation-validator-skills
Validate research citations and assign A-E credibility quality scores.
research-executor-skills
Coordinate multiple specialized AI agents for graph-based research synthesis.
synthesizer-skills
Synthesize research findings from multiple sources into coherent reports.
got-controller-skills
Manage multi-agent research processes with dynamic path generation and quality scoring.
content-retriever-skills
Retrieve and filter content from academic, technical, market, news, and social channels.
local-code-analysis-skills
Analyze local code repositories for structural integrity and technical debt.
question-refiner-skills
Refine ambiguous research inquiries into structured research plans with clarifying questions.
planner
Automate project execution plan design by decomposing tasks and assigning agents.
verifier
Validate task completion against acceptance criteria and determine loop termination.
execute
Execute dependent tasks with up to two concurrent parallel runs.
loop
Orchestrates multi-agent task execution through plan, execute, verify, and adjust cycles.
task:adjuster
Analyzes task failures, detects stagnation, and applies adaptive upgrade strategies.
Frequently Asked Questions About lazygophers
FAQPage SchemaWhat specific technical tasks can I perform using these standards?▼
You can enforce strict coding standards for Python, Go, Rust, and C#, manage SQLite database migrations, generate Mermaid diagrams for system architecture, and implement standardized GitHub issue and pull request templates.
Who is the target persona for these technical standards?▼
These resources are designed for software engineers, technical leads, and system architects who require consistent, repeatable patterns for repository maintenance, multi-agent task coordination, and complex narrative design.
Are these resources open-source and what are the dependencies?▼
The resources are provided as documentation and configuration templates. They rely on standard ecosystem packages like pytest, golangci-lint, and Zod, and are intended for integration into existing development environments without proprietary licensing restrictions.