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8,632 skills indexed with the new KISS metadata standard.
This repository provides AgentSkills for following a Problem-Based Software Requirements Specification (SRS) methodology. The focus is on enabling AI-assisted requirements engineering through structured, problem-first approaches.
This document provides context for AI assistants working on this Hugo static site project.
Ax is a TypeScript framework for building LLM-powered agents with end-to-end streaming, multi-modal DSPy capabilities, and typed signatures. It provides a standard interface across all top LLMs with features like prompt compilation, native streaming, agent orchestration, RAG, vector databases, and a
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
**rhinolabs-ai** — Enterprise skill, profile, and configuration management for AI coding assistants.
Read `@ai/CLAUDE.md` for project intelligence, owner decisions, architecture vision,
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
You MUST run the following checks before committing and ensure they all pass:
Progressive tool discovery gateway for MCP, built on FastMCP. Exposes 3 meta-tools (`discover_tools`, `get_tool_schema`, `execute_tool`) to enable LLMs to discover and load tool schemas on-demand.
complementary therapies
provide general observations about code complexity (e.g.
frameworks
technical
organizing it into a well-structured Markdown document:
# **Prompt for Code Analysis and System Documentation Generation**
representative code snippets**.
Swagger/OpenAPI
additional databases
Datadog
`main.go`
MongoDB
including versions when detectable (e.g.
including:
an AI coding assistant