13 boosters for "yaml" — AI-graded, open source, ready to install
A comprehensive guide to creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI agents with defined roles, capabilities, and collaboration features. Ideal for AI engineers and developers building multi-agent systems.
A Windsurf rules booster that enforces development standards for the libtmux Python project, including code style, testing practices, and documentation conventions using modern tools like uv, ruff, and pytest.
Heuristic scoring (no AI key configured).
Native Claude Agent SDK integration for AgentPool that enables file operations, terminal access, and advanced code editing with lower latency and tighter integration than bridge alternatives. Developers building AI agents on Claude Code or Claude Desktop benefit from direct SDK access and streamlined tooling.
A comprehensive guide for creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI team members with defined roles, goals, and collaborative capabilities. Ideal for developers building multi-agent AI systems who need clear patterns for agent design and configuration.
A Windsurf-specific coding guidelines booster that enforces Python best practices including documentation standards, absolute imports, early returns, and design patterns for maintainable code. Ideal for Python developers using Windsurf who want to maintain consistent code quality across their projects.
Markdown Agents is a framework for defining AI agents using simple markdown files with YAML frontmatter, enabling version-controlled, portable agent configuration across Claude Code and Desktop. Developers benefit from reduced cognitive load, git-native memory tracking, and predictive AI collaboration without session amnesia.
Audit skill for YAML compliance, pure XML structure, progressive disclosure, and best practices
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
This skill enables developers to create cryptographically signed, immutable constitutions for AI tool-use governance in OpenClaw, with Ed25519 signing, GitTruth attestation, and policy evaluation artifacts. It's designed for teams implementing constitutional governance frameworks for AI agents.
John is a Product Manager agent that generates comprehensive PRDs and strategic product documentation by translating business vision into actionable development requirements. Product teams, startup founders, and business stakeholders benefit from structured, professional product planning without needing extensive PM expertise.
FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.
Parametric Scribe enables developers to record and intelligently replay/modify coding tasks by maintaining a parametric history in YAML, allowing them to change past steps while automatically adapting subsequent steps to the new codebase state.
