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Found 134 Skills
Use AnalyticsCLI CLI as the deterministic, bounded interface for analytics queries, exports, and SDK validation in coding-agent workflows.
This skill should be used when the user asks to "create an OpenClaw skill", "make a claw skill", "build a skill for OpenClaw", "write a SKILL.md for openclaw", "add a skill to openclaw", "generate openclaw skill frontmatter", "create a clawhub skill", "port a skill to OpenClaw", "convert a Claude Code skill to claw", "migrate my skill to openclaw", or wants to author a new skill or port an existing Claude Code skill for the pi-coding-agent / OpenClaw ecosystem.
Set up, review, debug, or validate Orca per-workspace environment recipes — on-demand, disposable runtimes (cloud sandboxes, VMs, or local) created fresh for each workspace. Covers first-time setup (provider prerequisites, the reusable base snapshot, the coding-agent auth snapshot, credentials, and state), not just the per-workspace lifecycle scripts. Use to stand up per-workspace environments, fix an `environmentRecipes` entry in `orca.yaml`, scaffold provider lifecycle scripts, or resolve an `orca vm recipe doctor` failure.
Interactive plan and diff review for AI coding agents. Visual browser UI for annotating agent plans — approve or request changes with structured feedback. Supports code review, image annotation, and auto-save to Obsidian/Bear Notes.
Control Herdr, a terminal multiplexer for coding agents. Use only when the user explicitly mentions Herdr or asks to use Herdr to inspect or control panes, tabs, workspaces, commands, or another agent. Do not use merely because a task could benefit from a background terminal, delegation, or parallel work. Requires HERDR_ENV=1.
Generate and use a pre-edit structure brief so coding agents learn likely owners, consumer surfaces, and unsafe edit locations before implementing.
Structured software development framework for coding agents. Composable skills enforcing planning, testing, and systematic execution. Prevents code-first chaos.
Orchestrate parallel AI coding agents across git worktrees for autonomous CI fixes, code reviews, and PR management
Use this skill whenever a user wants to run, install, configure, or understand open-ralph-wiggum (ralph). This skill can be used by any AI assistant or IDE agent (GitHub Copilot, Claude Code, Cursor, Windsurf, etc.). Triggers on: "ralph", "ralph wiggum", "agentic loop", "iterative AI loop", "autonomous coding loop", "how to install ralph", "how to use ralph with Claude Code / Codex / Copilot / OpenCode", "ralph --agent", "ralph --tasks", "ralph --status", "--max-iterations", "--rotation", "how do I run ralph in VS Code / Cursor / JetBrains / Neovim", or any question about looping an AI coding agent until a task is done. Even if the user doesn't say "ralph" explicitly — if they want to run an AI agent in a loop until a promise tag appears in its output, use this skill.
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.
Install and use Supabase Agent Skills (`supabase/agent-skills`) with AI coding agents. Covers install modes, skill selection, plugin path, verification, and safe fallback for direct Supabase CLI/database workflows.
assign a task to an external coding agent and monitor it. Pipes the prompt via stdin to dodge quoting failures and auto-approves permissions to avoid silent hangs. Triggers: run a task with an external agent, hand off to OpenCode, Claude Code, or similar, execute a plan non-interactively. Flags: --agent <name> (default opencode), --model <model>, and --dir <path>.