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Found 73 Skills
Novel Cover Generation. Automatically analyze the genre and style based on the book title and author name, call GPT-Image-2 to generate a professional web novel cover with title and signature; Codex CLI prioritizes using the built-in ImageGen, no separate API Key required. Trigger methods: /story-cover, /封面, "Help me make a cover", "Generate cover image", "Make a novel cover", "Cover design"
Build high-quality /goal commands for OpenAI Codex CLI 0.128+ that maximize audit-friendliness and minimize false-completion. Use this skill whenever the user wants to write, draft, generate, improve, or refine a /goal prompt — even if they don't say "skill" — including phrases like "help me write a goal", "design a goal for X", "review my goal command", "make a goal for this repo", or any request involving long-running Codex tasks. Also trigger when the user mentions Ralph loop, persistent agent objectives, or asks Codex to "keep working until done". Produces a complete, copy-pasteable /goal command using the 5-section golden template (Objective/Scope/Constraints/Done when/Stop if), supports three interaction modes (step-by-step, full-description, hybrid), auto-detects project type (Node/Python/Swift/Go/Rust/static) by inspecting filesystem or repo URL, reads AGENTS.md/CLAUDE.md if present, and predicts audit-friendliness before output.
Unified setup hub: project init, tool setup, 2-agent config, harness-mem, codex CLI, and rule localization. Use when user mentions setup, initialization, new projects, workflow files, CI setup, LSP setup, MCP setup, codex setup, opencode setup, 2-Agent setup, PM coordination, Cursor setup, harness-mem, claude-mem integration, cross-session memory, localize rules, adapt rules. Do NOT load for: implementation work, reviews, build verification, or deployments.
Emulate supported AI code-review GitHub Actions locally and print a terminal-only review from portable skill instructions. Use when running /review-action or checking local PR-review feedback before publishing.
Send an artifact you just produced to “another model” for a second review, and only write the final report after incorporating its feedback. Includes a single-file POSIX shell script (Codex CLI by default; can be swapped for any backend via AI_REVIEW_CMD) and three rubrics: code/copy/research; when no backend is detected, it explicitly says “self-review only this time” instead of silently skipping, and it won’t interrupt your workflow. Triggers when the user says “送二審”, “跨模型 review”, “找另一個模型看一下”, “二審”, “ai-review”. English triggers: “second opinion”, “cross-model review”, “have another model review this”, “ai review”.
Get an independent, read-only review from OpenAI Codex (via the codex CLI, on whatever model and reasoning effort the user names, else Codex's configured default) of uncommitted changes, a branch, specific files or a plan, then verify every finding against the real code yourself, accept/reject/defer each one, implement only the accepted fixes, and report a verdict table. Use whenever the user asks for a Codex review, a second opinion, a cross-check or sanity check by another model or GPT, says 'ask Codex', 'have Codex look at this', 'get a second pair of eyes', or wants an independent reviewer before merging, shipping or executing a change or plan, even if they don't mention this skill by name.
Use the askcodex CLI to get text and code from OpenAI models (GPT-6 Astra, Sol, Luna and older), generate or edit images, transcribe audio, and inspect available models, subscription usage, or authentication. Trigger for requests such as "ask GPT", "make an image", "pregúntale a GPT", "genera una imagen", "edita esta foto", "transcribe este audio", "qué modelos tengo", or "cuánta cuota queda", and for bounded one-shot tasks (draft, summarize, classify or extract into schema-checked JSON, generate an asset) worth a second model's answer. Not for critiquing repo work, plans or diffs: use second-opinion, which reads the repo.
Run Claude Code or Codex CLI on Muapi (api.muapi.ai) using Muapi credits instead of a separate vendor account. Use when the user wants a local coding agent to use Muapi as its model provider, asks which Muapi models work with Claude Code or Codex, or needs the base URL, API key variable, provider block or model name for either agent. Covers Claude Code (Anthropic Messages) and Codex CLI (OpenAI Responses), model discovery, verification and troubleshooting.
Test a candidate OpenSEO skill end to end by running fresh, isolated Codex sessions against the local backend and scoring the reports they save. Use when editing a product skill (seo-audit, keyword-research, ...) and you need evidence that the new instructions produce better output, not just a cleaner file.
Sets up a Model Router that sends thinking work to a head-chef model and doing work to a line-cook model, through Claude Code on the owner's Claude plan and Codex on their ChatGPT plan, or both slots on whichever one plan they have, with the models in models.yaml. Also use when the owner says "check for newer models", "update guava-router" or "uninstall guava-router". Use when the owner asks for model routing or the CLIs, or when hub setup hands off to the router.
Generate original images for websites and apps (hero images, backgrounds, textures, spot illustrations, og:images, product shots, transparent cut-outs, edits of an existing image) and show them in the chat. Uses Codex's built-in image generation on the user's ChatGPT plan when the Codex CLI is signed in (no API key, no model download). Falls back to local FLUX.1-schnell on Apple Silicon, or to a hosted API key. Use whenever a project needs real imagery instead of stock photos, gray boxes, or placeholder URLs, or when the user asks Claude to 'make an image' or 'use Codex to generate an image'.
Hand off a scoped implementation, code review, or technical second opinion to the OpenAI Codex CLI from Claude Code. Use when the user asks to delegate work to Codex or get an independent review.