AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
Guide for Splitrail's terminal UI and file watching. An agent skill from Piebald-AI/splitrail.
$ npx skills add Piebald-AI/splitrail --skill tui -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Piebald-AI/splitrail tui --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/tui .claude/skills/tui && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tui" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/tui into .claude/skills/tui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tui", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/tuiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Piebald-AI/splitrail --skill tui -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Piebald-AI/splitrail tui --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/tui .agents/skills/tui && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tui" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/tui into .agents/skills/tui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tui", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Piebald-AI/splitrail --skill tui -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Piebald-AI/splitrail tui --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/tui .cursor/skills/tui && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tui" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/tui into .cursor/skills/tui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tui", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Piebald-AI/splitrail.git --path .claude/skills/tui--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Piebald-AI/splitrail --skill tui -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Piebald-AI/splitrail tui --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/tui .gemini/skills/tui && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tui" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/tui into .gemini/skills/tui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tui", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Piebald-AI/splitrail tuiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Piebald-AI/splitrail --skill tui -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/tui .github/skills/tui && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tui" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/tui into .github/skills/tui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tui", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Piebald-AI/splitrail --skill tui -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Piebald-AI/splitrail tui --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/tui .opencode/skills/tui && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tui" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/tui into .opencode/skills/tui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tui", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
tuiGuide for Splitrail's terminal UI and file watching. An agent skill from Piebald-AI/splitrail.
Tui is an agent skill from Piebald-AI/splitrail. Guide for Splitrail's terminal UI and file watching. Use when modifying the TUI, stats display, or real-time update logic.
Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Qwen. The repository describes itself as: Fast, cross-platform, real-time token usage tracker and cost monitor for Claude Code / Codex CLI / Antigravity CLI / Qwen Code / Cline / Zoo Code / Kilo Code / GitHub Copilot /… The licence is MIT.
Read from SKILL.md and the folder at commit d9cbe50. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tui loads about 349 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 146 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Piebald-AI/splitrail at commit d9cbe50, republished under its MIT licence (© Piebald-AI). 146 words, ~349 tokens.
.claude/skills/tui/SKILL.md (or your agent's skills folder).Splitrail provides a terminal UI with live updates when analyzer data files change.
src/tui.rs - TUI entry point and renderingsrc/tui/logic.rs - TUI state management and input handlingsrc/watcher.rs - File watching implementationsrc/watcher.rs)Watches analyzer data directories for changes using the notify crate. Triggers incremental re-parsing on file changes and updates TUI via channels.
Coordinates real-time updates: background file watching, auto-upload to Splitrail Cloud (if configured), and stats updates to TUI via tokio::sync::watch.
src/tui.rs, src/tui/logic.rs)Terminal interface using ratatui:
tokio::sync::watch channelsImplement get_watch_directories() in your analyzer to return root directories for file watching. See src/analyzer.rs for the trait definition.
© Piebald-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/tui of Piebald-AI/splitrail.
Open the folder on GitHubat commit d9cbe50
Tui next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tui this skillPiebald-AI/splitrail | 223 | — | ~349 | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Agent Feature ReproductionQwenLM/qwen-code | 28k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Qwen Code E2E TestingQwenLM/qwen-code | 28k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Game Asset Generatorhtdt/godogen | 7.1k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Fix Art IssuesOpenPipe/ART | 11k | — | ~840 | Automated safety check: Notes | Apache-2.0 |
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
QwenLM/qwen-code
Reproduces a feature from Codex or Claude Code in Qwen Code by running the reference agent under capture, reading the traces, then implementing matching behavior.
QwenLM/qwen-code
Guides end-to-end testing of the Qwen Code CLI in headless mode with real model calls, MCP test servers and inspection of raw API traffic.
htdt/godogen
Generates game art from text prompts: PNG images, GLB 3D models, rigged characters, animations and sprites, with background removal.
OpenPipe/ART
Fix a GitHub issue on OpenPipe/ART and open a PR. An agent skill from OpenPipe/ART.
AMAP-ML/LongHorizon-Harness
Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout.
Piebald-AI/splitrail
Guide for working with Splitrail's MCP server. An agent skill from Piebald-AI/splitrail.
Piebald-AI/splitrail
Guide for updating model pricing in Splitrail. An agent skill from Piebald-AI/splitrail.
Piebald-AI/splitrail
Guide for adding a new AI coding agent analyzer to Splitrail.
Piebald-AI/splitrail
Performance optimization guidelines for Splitrail. An agent skill from Piebald-AI/splitrail.
Piebald-AI/splitrail
Reference for Splitrail's core data types. An agent skill from Piebald-AI/splitrail.
Works with
Guide for Splitrail's terminal UI and file watching. An agent skill from Piebald-AI/splitrail. Tui is an agent skill from Piebald-AI/splitrail. Guide for Splitrail's terminal UI and file watching.
Tui fits situations like: modifying the TUI; real-time update logic.
Run `npx skills add Piebald-AI/splitrail --skill tui -a claude-code`. Or copy the skill folder (.claude/skills/tui in Piebald-AI/splitrail) into .claude/skills/tui in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Piebald-AI/splitrail --skill tui -a codex`. Or copy the skill folder (.claude/skills/tui in Piebald-AI/splitrail) into .agents/skills/tui in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Piebald-AI/splitrail --skill tui -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tui, .gemini/skills/tui, .github/skills/tui and .opencode/skills/tui in your project.
SKILL.md names no scripts, command-line tools or credentials: Tui is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Tui is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 349 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tui: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Agent Feature Reproduction (QwenLM/qwen-code, 28k stars), Qwen Code E2E Testing (QwenLM/qwen-code, 28k stars) and Game Asset Generator (htdt/godogen, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Piebald-AI (a GitHub organization) maintains it in Piebald-AI/splitrail, which has 223 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 7, 2026.
Source: Piebald-AI/splitrail on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.