GSA-TTS shared a GitHub folder of advanced task guides supporting agent design and real-time agent reasoning. Each guide is a self-contained, structured methodology for a specific class of complex analytical or design task. The collection matters to practitioners building agents who need composable, runtime-loadable planning and reasoning scaffolds.
An open-source Agent Skill (Apache 2.0) that forces AI coding agents to adopt a principal-architect decision-making process: frame goals, constraints, and non-goals; compare options with reverse cost; recommend one path with explicit trade-offs; and emit architectural baselines. It solves the problem of agents giving vague or over-engineered architectural suggestions without evidence.
An open-source Agent Skill (Apache 2.0) that forces AI coding agents to adopt a principal-architect decision-making process: frame goals, constraints, and non-goals; compare options with reverse cost; recommend one path with explicit trade-offs; and emit architectural baselines. It solves the problem of agents giving vague or over-engineered architectural suggestions without evidence.
Reasoning Doctrine is a skill for AI agents that keeps the original goal in front of the agent throughout a long session, preventing it from losing track. It solves the problem of agents drifting from their objective during extended tasks. The skill is available on GitHub for integration into agent workflows.
Reasoning Doctrine is a skill for AI agents that keeps the original goal in front of the agent throughout a long session, preventing it from losing track. It solves the problem of agents drifting from their objective during extended tasks. The skill is available on GitHub for integration into agent workflows.
Agent Fieldbook is an open-source repository that transforms official Anthropic and OpenAI courses and documentation into reusable, source-backed skills for coding agents like Claude Code and Codex. It solves the problem of agents making decisions that don't reflect the latest official guidance, making best practices accessible during development.
Agent Fieldbook is an open-source repository that transforms official Anthropic and OpenAI courses and documentation into reusable, source-backed skills for coding agents like Claude Code and Codex. It solves the problem of agents making decisions that don't reflect the latest official guidance, making best practices accessible during development.
A Claude skill (skill.md) for designing and reviewing the prompts that run AI agents. It applies an architecture-level method treating system prompts as more than text blocks, targeting common agent failures: wrong tool selection, context drift on long tasks, and runs with no defined end condition. Aimed at people building agents.
A Claude skill (skill.md) for designing and reviewing the prompts that run AI agents. It applies an architecture-level method treating system prompts as more than text blocks, targeting common agent failures: wrong tool selection, context drift on long tasks, and runs with no defined end condition. Aimed at people building agents.
AI-Agent-Skills is an open-source, structured knowledge base that compiles notes on building AI agents into 20 categories, covering reasoning strategies, tool use, RAG, MCP, multi-agent patterns, safety, and deployment. It serves as a comprehensive handbook for developers, combining the organization of Awesome Lists with the depth of Papers with Code, aiming to replace scattered blog posts and research rabbit holes.
AI-Agent-Skills is an open-source, structured knowledge base that compiles notes on building AI agents into 20 categories, covering reasoning strategies, tool use, RAG, MCP, multi-agent patterns, safety, and deployment. It serves as a comprehensive handbook for developers, combining the organization of Awesome Lists with the depth of Papers with Code, aiming to replace scattered blog posts and research rabbit holes.