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Found 837 Skills
Generate images using Codex's ChatGPT backend with zero production dependencies. Reuses existing local Codex authentication (~/.codex/auth.json) — no new credentials needed. Supports CLI (gti command), Node.js library, and Python SDK. Accepts text prompts with optional reference images (PNG/JPG/GIF/WebP). Includes dry-run mode and debug output. Triggers on: god-tibo-imagen, gti, image generation, codex image, chatgpt image, ai image, gpt image generation.
Mine coding agent logs (Codex/Cursor/session histories and similar telemetry) to discover high-value candidate skills, then draft structured skill creation/reuse recommendations.
Inspect and summarize local Codex/Claude session logs using the ccbox CLI (projects, sessions, history). Use when asked to list discovered projects, find sessions for the current repo/folder, print a session timeline, or produce an evidence-based “what happened” report from a session .jsonl log under CODEX_SESSIONS_DIR.
Create and manage a git worktree for parallel feature development, then open the new worktree in the editor (code/Cursor) for a second Codex session. Use when the user asks to work on another feature simultaneously, run multiple features in parallel, spin up a parallel workspace, or open a new worktree even if they do not mention worktree explicitly.
Initialize a new workspace by copying the standard artifact template (STATUS.md, CHECKPOINTS.md, UNITS.csv, DECISIONS.md + folders). **Trigger**: workspace init, initialize workspace, workspace template, 初始化 workspace. **Use when**: 启动任何 pipeline run（必须先有 workspace 工件与目录骨架）。 **Skip if**: workspace 已初始化且不希望覆盖既有文件（除非显式 `--overwrite`）。 **Network**: none. **Guardrail**: 不要修改 `.codex/skills/workspace-init/assets/` 模板；默认不覆盖已有文件。
Use when the user wants Codex to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to Codex without changing the generated Python harness format.
Permission dialog UI for macOS accessibility and privacy settings, replicating the Codex Computer Use guided permissions flow
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to `paper-illustration`, intended for Claude Code users who want a GPT-image-style renderer without modifying the original skill.
[Hyper] Optimize an existing Codex skill through baseline-first experiments, binary evals, optional guards, and one-mutation-at-a-time iteration. Use for skill autoresearch, measured trigger/workflow improvement, self-optimizing a skill, benchmarking skill changes, or resuming skill experiment artifacts.
Use this skill when the user wants to share, publish, or upload a static result through PinMe, especially by generating a static HTML share page for a PinMe project link, deployed full-stack app, Codex conversation summary, report, file, demo, or any 分享/发布/上传分享页 request that should end with `pinme upload`.
A creation and conversion skill for organizing one or more images into PSD layered files. This skill should be used when users need image2psd, image to PSD conversion, combining multiple images into a PSD, splitting posters/design drafts into multiple layers, converting white backgrounds to transparent, splitting layers via color clustering, splitting Codex/AI generated images into element images and then synthesizing into PSD, or expecting to output layered PSDs, layered raster files editable in Photoshop/Photopea. When used in Codex, it is combined with the imagegen skill by default: first use Codex's visual/generation capabilities to understand, supplement or reconstruct elements, then use this skill's scripts to generate the PSD.
A Codex skill that converts images, screenshots, posters, PPT page screenshots, HTML or SVG design drafts into editable PPTX. This skill should be used when users need image2ppt, image2pptx, image-to-PPT, screenshot-to-PPT, PNG/JPEG to editable slides, HTML/SVG to PPTX, splitting design drafts into image components and text boxes then assembling into PowerPoint, or want to reuse Codex's built-in image generation capability to rebuild flat designs into multi-element editable PPTs. When processing binary images in Codex, it defaults to integrating with the imagegen skill: first use Codex's visual understanding to analyze the layout, then use the built-in image generation/editing capability to generate or clean multiple component images, and finally use this skill's scripts to assemble the PPTX.