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Found 213 Skills
Onboard an AI coding agent to a Syncfusion project. Identifies the framework and product family, installs or selects the official component skills, finds current documentation, handles licensing safely, and verifies a working implementation. Use when starting, integrating, upgrading, migrating, evaluating, or troubleshooting Syncfusion UI components, document SDKs, viewers, or editors on any platform.
This skill provides comprehensive guidance for using OpenCode, the open-source AI coding agent. Use this skill when working with OpenCode CLI commands, keyboard shortcuts, agents (build/plan), slash commands, tools, skills, MCP servers, or configuration. Automatically triggered when OpenCode-specific questions or tasks are detected.
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)
Delegate coding to Claude Code CLI (features, PRs).
Assesses and improves a git repository's readiness for AI coding agents with the agentready tool, and reports the score, the certification level, the failing findings, and where the report was written. Covers one repository or every RHDH repository under a directory, and applies the fixes the report supports. Use for "assess agent readiness", "run agentready", "improve our agent readiness score", "prepare this repository for coding agents", or "assess all the RHDH repositories".
Code comment hygiene for AI coding agents: remove generic AI-slop comments, keep the valuable ones, never touch the code.
Sync this skill library globally across supported coding agents.
Guide for creating, refactoring, and optimizing AGENTS.md files (and CLAUDE.md files) for AI coding agent repositories. Use when the user wants to create a new AGENTS.md, refactor an existing one, audit their AGENTS.md for bloat or staleness, apply progressive disclosure principles, set up AGENTS.md in a monorepo, or improve how their AI coding agents behave via repository configuration files. Also applies to CLAUDE.md files (Claude Code's equivalent).
Fan out a prompt to multiple AI coding agents in parallel and synthesize their responses.
Audit and prune bloated CLAUDE.md or AGENTS.md context files using evidence-based criteria from research on what actually helps coding agents. Use when a user asks to trim, audit, review, or improve their CLAUDE.md, AGENTS.md, or any repository context file for AI coding agents.
Run a free 35B AI coding agent on Apple Silicon Macs using local LLMs via llama.cpp or MLX with web search, shell, and file tools.