Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Inspect external prediction model implementations and adapt them to EasyTSF task contracts.
$ npx skills add smilehanCN/EasyTSF --skill adapt-model-to-easytsf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install smilehanCN/EasyTSF adapt-model-to-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/adapt-model-to-easytsf .claude/skills/adapt-model-to-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 "adapt-model-to-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/adapt-model-to-easytsf into .claude/skills/adapt-model-to-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-model-to-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/adapt-model-to-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 adapt-model-to-easytsf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install smilehanCN/EasyTSF adapt-model-to-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/adapt-model-to-easytsf .agents/skills/adapt-model-to-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 "adapt-model-to-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/adapt-model-to-easytsf into .agents/skills/adapt-model-to-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-model-to-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 adapt-model-to-easytsf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install smilehanCN/EasyTSF adapt-model-to-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/adapt-model-to-easytsf .cursor/skills/adapt-model-to-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 "adapt-model-to-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/adapt-model-to-easytsf into .cursor/skills/adapt-model-to-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-model-to-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/adapt-model-to-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 adapt-model-to-easytsf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install smilehanCN/EasyTSF adapt-model-to-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/adapt-model-to-easytsf .gemini/skills/adapt-model-to-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 "adapt-model-to-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/adapt-model-to-easytsf into .gemini/skills/adapt-model-to-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-model-to-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 adapt-model-to-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 adapt-model-to-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/adapt-model-to-easytsf .github/skills/adapt-model-to-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 "adapt-model-to-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/adapt-model-to-easytsf into .github/skills/adapt-model-to-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-model-to-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 adapt-model-to-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 adapt-model-to-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/adapt-model-to-easytsf .opencode/skills/adapt-model-to-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 "adapt-model-to-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/adapt-model-to-easytsf into .opencode/skills/adapt-model-to-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-model-to-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.
adapt-model-to-easytsfInspect external prediction model implementations and adapt them to EasyTSF task contracts.
Adapt Model To Easytsf is an agent skill from smilehanCN/EasyTSF. Inspect external prediction model implementations and adapt them to EasyTSF task contracts. Use when the user provides model code, class definitions, forward logic, or config fragments and wants Codex to classify the target task as sequenceprediction, graphprediction, or gridprediction, determine the current repository fit, and produce either a direct adaptation plan or a repository extension plan.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files and assets (for example `agents/openai.yaml`, `assets/benchmark_stub.py` and `assets/graph_prediction_experiment_stub.yaml`).
It sits in Data & Analytics. The repository describes itself as: Experiment ASsistance for Your Time-Series Forecasting, EasyTSF.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 7d66c2f. 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.
Ships script files (Python), which the agent can run.
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.
Adapt Model To Easytsf loads about 1.2k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 560 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 560 words (~1,171 tokens).
“Use this skill to adapt external prediction models to EasyTSF by task, not by forcing everything into one existing runtime path. Work from code first. Use papers only to recover intent when the implementation is incomplete or ambiguous.”
SKILL.md and 10 other files (references, assets) in .agents/skills/adapt-model-to-easytsf of smilehanCN/EasyTSF.
Open the folder on GitHubat commit 7d66c2f
Adapt Model To 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 |
|---|---|---|---|---|---|---|
| Adapt Model To Easytsf this skillsmilehanCN/EasyTSF | 119 | — | ~1.2k | 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 |
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
smilehanCN/EasyTSF
Inspect local prediction datasets and map them onto EasyTSF task contracts.
smilehanCN/EasyTSF
Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks.
Categories
Inspect external prediction model implementations and adapt them to EasyTSF task contracts. Adapt Model To Easytsf is an agent skill from smilehanCN/EasyTSF. Inspect external prediction model implementations and adapt them to EasyTSF task contracts.
Adapt Model To Easytsf fits situations like: the user provides model code; class definitions; config fragments and wants Codex to classify the target task as sequenceprediction; graphprediction.
Run `npx skills add smilehanCN/EasyTSF --skill adapt-model-to-easytsf -a claude-code`. Or copy the skill folder (.agents/skills/adapt-model-to-easytsf in smilehanCN/EasyTSF) into .claude/skills/adapt-model-to-easytsf in your project. Claude Code loads it when a task matches its description.
Run `npx skills add smilehanCN/EasyTSF --skill adapt-model-to-easytsf -a codex`. Or copy the skill folder (.agents/skills/adapt-model-to-easytsf in smilehanCN/EasyTSF) into .agents/skills/adapt-model-to-easytsf 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 smilehanCN/EasyTSF --skill adapt-model-to-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/adapt-model-to-easytsf, .gemini/skills/adapt-model-to-easytsf, .github/skills/adapt-model-to-easytsf and .opencode/skills/adapt-model-to-easytsf in your project.
Going by SKILL.md and its folder, Adapt Model To Easytsf needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
No licence was found for Adapt Model To Easytsf or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.2k tokens (SKILL.md is roughly 4.7k 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.
Skills that share tags, products or a category with Adapt Model To 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.
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.