Browse The Skill Store

Master the Agensi open standard to build, structure, and document reliable reusable skills for AI coding agents.

Enforce a 5-phase documentation workflow that verifies code reality against docs using grep and structured templates.

Master Claude Code's settings hierarchy and hook framework to automate workflows and silence repetitive prompts.

Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.

Transform raw ideas into high-performance, structured prompts optimized for Grok’s reasoning and wit.

Bridge OpenCode to the Agensi marketplace to discover and install AI agent skills via MCP.

Turn complex system documentation into structured, agent-accessible knowledge bases optimized for MCP and AI tools.

A systematic framework to diagnose, refine, and harden existing AI agent skills based on real-world performance.

Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).

Design and evaluate production-grade observability systems using the 12-layer Full Stack Observatory reference model.

Maintain strategic coherence across long coding sessions using Claude Code's native memory and task systems.

Transform Grok into a local-first coding agent that writes, edits, and verifies files directly in your workspace.

A rigorous 5-phase debugging framework to systematically reproduce, isolate, and resolve complex software bugs.

Architect high-fidelity, theologically-grounded AI personas and 'person-use' skills for ministry and biblical study.

Turn Agensi marketplace signals and community requests into a prioritized roadmap of high-demand skill ideas.

Find and evaluate the best free Agensi marketplace skills for your specific development needs using Grok and MCP.

Free collection of 7 agent-ready monitoring tools. Price alerts, cost tracking, repo scanning, uptime checks, and more. Quick-reference guide with one-command install.

Turn live Agensi marketplace signals and high-signal user data into actionable product development intelligence.

Select the smallest honest verification set for a change, including targeted tests, manual checks, missing-test recommendations, a broader fallback, and named remaining risk.