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.
Reference for Splitrail's core data types. An agent skill from Piebald-AI/splitrail.
MITAuto-check passed
Install Types
$ npx skills add Piebald-AI/splitrail --skill types -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Piebald-AI/splitrail types --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/types .claude/skills/types && 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 "types" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/types into .claude/skills/types/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types", 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/typesType 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 types -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Piebald-AI/splitrail types --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/types .agents/skills/types && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "types" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/types into .agents/skills/types/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types", 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 types -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Piebald-AI/splitrail types --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/types .cursor/skills/types && 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 "types" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/types into .cursor/skills/types/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types", 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/types--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 types -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Piebald-AI/splitrail types --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/types .gemini/skills/types && 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 "types" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/types into .gemini/skills/types/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types", 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 typesInstalls 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 types -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/types .github/skills/types && 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 "types" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/types into .github/skills/types/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types", 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 types -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 types --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/types .opencode/skills/types && 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 "types" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/types into .opencode/skills/types/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "types", 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.
Facts
- Skill name
types- GitHub stars
- 222
- Token cost
- ~271 tokens
- SKILL.md length
- 107 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reference for Splitrail's core data types. An agent skill from Piebald-AI/splitrail.
- Working with ConversationMessage
- SKILL.md covers Core Types, Hashing Strategy and Aggregation
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Other type definitions
What it does
Types is an agent skill from Piebald-AI/splitrail. Reference for Splitrail's core data types. Use when working with ConversationMessage, Stats, DailyStats, or other type definitions.
Its SKILL.md is about 270 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.
When your agent uses it
- Working with ConversationMessage
- Other type definitions
Example prompts
- “/types”
What it can do on your machine
Read from SKILL.md and the folder at commit d9cbe50. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Types loads about 271 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 107 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from Piebald-AI/splitrail at commit d9cbe50, republished under its MIT licence (© Piebald-AI). 107 words, ~271 tokens.
Download SKILL.mdSave it as
.claude/skills/types/SKILL.md (or your agent's skills folder).- name
- types
- description
- Reference for Splitrail's core data types. Use when working with ConversationMessage, Stats, DailyStats, or other type definitions.
Key Types
Read src/types.rs for full definitions.
Core Types
ConversationMessage - Normalized message format across all analyzers. Contains application source, timestamp, hashes for deduplication, model info, token/cost stats, and role.
Stats - Comprehensive usage metrics for a single message including token counts, costs, file operations, todo tracking, and composition stats by file type.
DailyStats - Pre-aggregated stats per date with message counts, conversation counts, model breakdown, and embedded Stats.
Application - Enum identifying which AI coding tool a message came from.
MessageRole - User or Assistant.
Hashing Strategy
local_hash: Deduplication within a single analyzerglobal_hash: Deduplication on upload to Splitrail Cloud
Aggregation
Use crate::utils::aggregate_by_date() to group messages into daily stats. See src/utils.rs.
© 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
Files
Just SKILL.md in .claude/skills/types of Piebald-AI/splitrail.
Open the folder on GitHubat commit d9cbe50
Compare with similar skills
Types 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 |
|---|---|---|---|---|---|---|
| Types this skillPiebald-AI/splitrail | 222 | — | ~271 | 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 |
Similar skills
Agent Feature Reproduction
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.
Qwen Code E2E Testing
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.
Game Asset Generator
htdt/godogen
Generates game art from text prompts: PNG images, GLB 3D models, rigged characters, animations and sprites, with background removal.
Fix Art Issues
OpenPipe/ART
Fix a GitHub issue on OpenPipe/ART and open a PR. An agent skill from OpenPipe/ART.
Weavebench Cua Reproduce
AMAP-ML/LongHorizon-Harness
Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout.
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Related
Works with
Questions about Types
What does Types do?
Reference for Splitrail's core data types. An agent skill from Piebald-AI/splitrail. Types is an agent skill from Piebald-AI/splitrail. Reference for Splitrail's core data types.
When should I use Types?
Types fits situations like: working with ConversationMessage; other type definitions.
How do I install Types in Claude Code?
Run `npx skills add Piebald-AI/splitrail --skill types -a claude-code`. Or copy the skill folder (.claude/skills/types in Piebald-AI/splitrail) into .claude/skills/types in your project. Claude Code loads it when a task matches its description.
How do I install Types in Codex?
Run `npx skills add Piebald-AI/splitrail --skill types -a codex`. Or copy the skill folder (.claude/skills/types in Piebald-AI/splitrail) into .agents/skills/types in your project. Codex loads it when a task matches its description.
Can I use Types in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Piebald-AI/splitrail --skill types -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/types, .gemini/skills/types, .github/skills/types and .opencode/skills/types in your project.
What does Types need to run?
SKILL.md names no scripts, command-line tools or credentials: Types is instructions for the agent only.
Does Types access the network?
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.
Is Types safe to install?
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.
What licence does Types use?
Types is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Types use?
About 271 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Types?
Skills that share tags, products or a category with Types: 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.
Who maintains Types?
Piebald-AI (a GitHub organization) maintains it in Piebald-AI/splitrail, which has 222 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.