Agent Skills Hub

policyengine-review-patterns

Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.

spec-miner

Reverse-engineering specialist for codebase analysis, dependency mapping, and specification extraction from legacy or undocumented systems.

implementation-planner

Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.

code-quality

Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.

swift-style

Standardized Swift coding conventions, naming rules, and idiomatic patterns for clean, maintainable, and readable iOS/macOS development.

clean-code

Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.

with-context-agent

Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.

code-formatting

Format and lint JS, TS, and JSON files on the current branch using Biome. Useful for code cleanup before commits or PRs.

handoff

Create structured session handoff documents to ensure continuity when switching contexts, taking breaks, or ending your workday.

steering-specs-generator

Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.

skill-from-github

Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.

linear

Linear issue management and synchronization for LobeHub, featuring automated PR referencing, sub-issue tree decomposition, and status tracking.