open-source-maintainer
End-to-end GitHub repository maintenance agent. Automates triage, PR review, issue analysis, and maintenance reporting to ensure long-term repository health, stability, and growth.
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448 skills found
End-to-end GitHub repository maintenance agent. Automates triage, PR review, issue analysis, and maintenance reporting to ensure long-term repository health, stability, and growth.
Injects entropy into decision-making using Tarot card readings when user prompts are vague, casual, or require creative tie-breaking.
A structured personal operating system for managing digital presence, knowledge, relationships, and goals with AI assistance for founders, creators, and professionals.
Social media intelligence gathering for TikTok and Instagram. Discover trending hooks, analyze creator strategies, and perform profile data research using the ScrapeCreators API.
Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.
Standardizes project context by managing artifacts (product, tech-stack, workflow, tracks) in a conductor/ directory. Supports project scaffolding, artifact synchronization, and AI alignment for greenfield and brownfield projects.
Generate structured development plans, checklists, and file contexts compatible with the IntelliJ coding-aider plugin.
Securely manage CI/CD secrets with Vault, AWS Secrets Manager, and environment-specific patterns. Prevent credential leakage, implement rotation, and enforce least-privilege access for pipelines.
Test-driven development (TDD) workflow for Spring Boot applications using JUnit 5, Mockito, MockMvc, and Testcontainers.
Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.
A multi-paradigm ETL pipeline agent supporting batch and streaming data processing, schema inference, and configurable DAG-based transformations for heterogeneous data sources.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.