Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Inspect local prediction datasets and map them onto EasyTSF task contracts.
Install Prepare Data For Easytsf
$ npx skills add smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install smilehanCN/EasyTSF prepare-data-for-easytsf --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/smilehanCN/EasyTSF.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/prepare-data-for-easytsf .claude/skills/prepare-data-for-easytsf && 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 "prepare-data-for-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/prepare-data-for-easytsf into .claude/skills/prepare-data-for-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prepare-data-for-easytsf", 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/smilehanCN/EasyTSF/tree/next/.agents/skills/prepare-data-for-easytsfType 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 smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install smilehanCN/EasyTSF prepare-data-for-easytsf --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/smilehanCN/EasyTSF.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/prepare-data-for-easytsf .agents/skills/prepare-data-for-easytsf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prepare-data-for-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/prepare-data-for-easytsf into .agents/skills/prepare-data-for-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prepare-data-for-easytsf", 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 smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install smilehanCN/EasyTSF prepare-data-for-easytsf --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/smilehanCN/EasyTSF.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/prepare-data-for-easytsf .cursor/skills/prepare-data-for-easytsf && 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 "prepare-data-for-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/prepare-data-for-easytsf into .cursor/skills/prepare-data-for-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prepare-data-for-easytsf", 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/smilehanCN/EasyTSF.git --path .agents/skills/prepare-data-for-easytsf--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 smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install smilehanCN/EasyTSF prepare-data-for-easytsf --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/smilehanCN/EasyTSF.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/prepare-data-for-easytsf .gemini/skills/prepare-data-for-easytsf && 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 "prepare-data-for-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/prepare-data-for-easytsf into .gemini/skills/prepare-data-for-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prepare-data-for-easytsf", 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 smilehanCN/EasyTSF prepare-data-for-easytsfInstalls 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 smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/smilehanCN/EasyTSF.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/prepare-data-for-easytsf .github/skills/prepare-data-for-easytsf && 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 "prepare-data-for-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/prepare-data-for-easytsf into .github/skills/prepare-data-for-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prepare-data-for-easytsf", 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 smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install smilehanCN/EasyTSF prepare-data-for-easytsf --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/smilehanCN/EasyTSF.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/prepare-data-for-easytsf .opencode/skills/prepare-data-for-easytsf && 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 "prepare-data-for-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/prepare-data-for-easytsf into .opencode/skills/prepare-data-for-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prepare-data-for-easytsf", 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
prepare-data-for-easytsf- GitHub stars
- 119
- Token cost
- ~663 tokens
- SKILL.md length
- 287 words
- Files
- 6 (incl. references)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- None found
At a glance
Inspect local prediction datasets and map them onto EasyTSF task contracts.
- Works in 5 steps: Inspect the dataset directory. → Classify the prediction task. → Map the data onto the current repository… → …
- The user provides dataset folders
- SKILL.md covers Overview, Workflow, Stop Conditions and Output Format
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prepare Data For Easytsf is an agent skill from smilehanCN/EasyTSF. Inspect local prediction datasets and map them onto EasyTSF task contracts. Use when the user provides dataset folders, array files, graph structure files, grid tensors, or metadata and wants Codex to classify the task as sequenceprediction, graphprediction, or gridprediction, determine whether the current repository can use it directly, and produce either concrete config mapping or a repository extension plan.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/graph-data-contract.md` and `references/grid-data-contract.md`).
It sits in Data & Analytics. The repository describes itself as: Experiment ASsistance for Your Time-Series Forecasting, EasyTSF.
When your agent uses it
- The user provides dataset folders
- Graph structure files
- Metadata and wants Codex to classify the task as sequenceprediction
- Graphprediction
Example prompts
- “/prepare-data-for-easytsf”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Inspect the dataset directory.
- Classify the prediction task.
- Map the data onto the current repository surface.
- Produce an extension plan when the task is not yet implemented.
- Keep unknowns explicit.
What it can do on your machine
Read from SKILL.md and the folder at commit 7d66c2f. 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
Prepare Data For Easytsf loads about 663 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 287 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 287 words (~663 tokens).
“Use this skill to inspect prediction data before touching configs, workflows, or model code. Start from artifacts on disk, not from dataset names or paper summaries.”
- name
- prepare-data-for-easytsf
Files
SKILL.md and 5 other files (references) in .agents/skills/prepare-data-for-easytsf of smilehanCN/EasyTSF.
- SKILL.md
- agents/openai.yaml
- references/graph-data-contract.md
- references/grid-data-contract.md
- references/sequence-data-contract.md
- references/task-taxonomy.md
Open the folder on GitHubat commit 7d66c2f
Compare with similar skills
Prepare Data For Easytsf 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 |
|---|---|---|---|---|---|---|
| Prepare Data For Easytsf this skillsmilehanCN/EasyTSF | 119 | — | ~663 | Automated safety check: Pass | None | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
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More from smilehanCN/EasyTSF
Adapt Model To Easytsf
smilehanCN/EasyTSF
Inspect external prediction model implementations and adapt them to EasyTSF task contracts.
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Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks.
Related
Categories
Questions about Prepare Data For Easytsf
What does Prepare Data For Easytsf do?
Inspect local prediction datasets and map them onto EasyTSF task contracts. Prepare Data For Easytsf is an agent skill from smilehanCN/EasyTSF. Inspect local prediction datasets and map them onto EasyTSF task contracts.
When should I use Prepare Data For Easytsf?
Prepare Data For Easytsf fits situations like: the user provides dataset folders; graph structure files; metadata and wants Codex to classify the task as sequenceprediction; graphprediction.
How do I install Prepare Data For Easytsf in Claude Code?
Run `npx skills add smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a claude-code`. Or copy the skill folder (.agents/skills/prepare-data-for-easytsf in smilehanCN/EasyTSF) into .claude/skills/prepare-data-for-easytsf in your project. Claude Code loads it when a task matches its description.
How do I install Prepare Data For Easytsf in Codex?
Run `npx skills add smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a codex`. Or copy the skill folder (.agents/skills/prepare-data-for-easytsf in smilehanCN/EasyTSF) into .agents/skills/prepare-data-for-easytsf in your project. Codex loads it when a task matches its description.
Can I use Prepare Data For Easytsf 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 smilehanCN/EasyTSF --skill prepare-data-for-easytsf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prepare-data-for-easytsf, .gemini/skills/prepare-data-for-easytsf, .github/skills/prepare-data-for-easytsf and .opencode/skills/prepare-data-for-easytsf in your project.
What does Prepare Data For Easytsf need to run?
SKILL.md names no scripts, command-line tools or credentials: Prepare Data For Easytsf is instructions for the agent only.
Does Prepare Data For Easytsf 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 Prepare Data For Easytsf 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 Prepare Data For Easytsf use?
No licence was found for Prepare Data For Easytsf or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Prepare Data For Easytsf use?
About 663 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.
What are the alternatives to Prepare Data For Easytsf?
Skills that share tags, products or a category with Prepare Data For Easytsf: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prepare Data For Easytsf?
smilehanCN (a GitHub user) maintains it in smilehanCN/EasyTSF, which has 119 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on May 14, 2026.
Source: smilehanCN/EasyTSF on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.