Agent Skills Hub

linear-issue-creator

Creates structured Linear issues (main + sub-issues) with automated project linking, title prefixes, labeling, and PRD-aligned content workflows for fullstack developers.

yq

Extract specific fields from YAML files efficiently without reading entire files, saving 80-95% of context window usage.

deepwiki

Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.

github-project-management

AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.

english-text-editor

Provides targeted, concise English language editing and stylistic improvements for text without performing full rewrites.

llm-integration

A toolkit for building robust LLM integrations: API patterns, streaming, function calling, RAG pipelines, and cost-effective model routing.

higress-auto-router

Manage automatic model routing for Higress AI Gateway via CLI. Configure triggers for intelligent model selection based on request content.

testing-strategies

Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.

session-logs

Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.

python-plan-optimization

6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).

template-generator

Generate structured configuration files and formatted output by injecting user data into pre-defined project templates.

recursive-decomposition

Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.