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Found 480 Skills
Feature-complete companion for the actual CLI, an ADR-powered CLAUDE.md/AGENTS.md generator. Runs and troubleshoots actual adr-bot, status, auth, config, runners, and models. Covers all 5 runners (claude-cli, anthropic-api, openai-api, codex-cli, cursor-cli), all model patterns, all 3 output formats (claude-md, agents-md, cursor-rules), and all error types. Use when working with the actual CLI, running actual adr-bot, configuring runners or models, troubleshooting errors, or managing output files.
Send text messages to specified contacts via the WeChat desktop client on macOS. Used when the user provides a contact name and message content, such as "Send a WeChat message to Zhang San: xxx", "Open WeChat to send a message to someone", "Send specified text via WeChat". The WeChat desktop client must be installed before running, and accessibility permissions must be granted to the current terminal or Codex. Only exact matching is performed during execution: first search for the contact, then verify that the current session title exactly matches the target; stop if the match fails to avoid sending messages by mistake.
Run Codex, Claude Code, and Gemini CLI reviews against the current branch concurrently, deduplicate the findings, and report only the review comments that are still valid for the current codebase.
Run Codex code review against the current branch and report only the review comments that are still valid for the current codebase, without applying fixes.
Use Codex to simplify the current pull request by safely reducing unnecessary scope, complexity, and noise while preserving the intended outcome.
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
Core patterns for AI coding agents based on analysis of Claude Code, Codex, Cline, Aider, OpenCode. Triggers when: Building an AI coding agent or assistant, implementing tool-calling loops, managing context windows for LLMs, setting up agent memory or skill systems, or designing multi-provider LLM abstraction. Capabilities: Core agent loop with while(true) and tool execution, context management with pruning and compression and repo maps, tool safety with sandboxing and approval flows and doom loop detection, multi-provider abstraction with unified API for different LLMs, memory systems with project rules and auto-memory and skill loading, session persistence with SQLite vs JSONL patterns.
Install and configure react-grab to capture React component context (file path, component name, HTML markup) from any browser UI element for AI coding agents. Use when you want to point at a UI element in the browser and instantly copy its React component name, source file path, and HTML to clipboard for Claude Code, Cursor, Copilot, Gemini, or Codex. Triggers on: react-grab, grab, grab element context, copy component to ai, point and copy to claude, ui context clipboard, element to ai agent, click component copy, grab ui component, react component inspector, browser element context, component source file, copy element context, feed element to ai, element picker, grab react component, inspect element ai, component to clipboard, react devtools ai.
Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), thread-bound ACP harness requests in chat (for example spawn/run Codex or Claude Code in a Discord thread; use sessions_spawn with runtime:"acp"), or any work in ~/clawd workspace (never spawn agents here). Claude Code: use --print --permission-mode bypassPermissions (no PTY). Codex/Pi/OpenCode: pty:true required.
Design a viable business model for a one-person company using Lean Canvas and a simplified Business Model Canvas. Use when Codex needs to explain the business-model concepts when needed, verify niche and value-proposition prerequisites, ask one question at a time, present multiple model choices, and write user-confirmed outputs into `opc-doc/`.
Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events. Use when Codex already has a normalized Megatron change set and needs to explain what changed, which new features matter, and which changes should flow into MindSpeed adaptation work.
Run structured multi-role design reviews and architecture debates for technical decisions. Use when Codex needs to compare options, pressure-test tradeoffs, recommend an MVP path, or simulate a meeting with distinct evaluation roles such as moderator, skeptic, pragmatist, minimalist, maximalist, retrieval architect, Granary workflow lead, semantic purist, lightweight contrarian, context economist, or workflow conservative.