Agent skill

Adapt Model To Easytsf

by smilehanCN in smilehanCN/EasyTSF

Inspect external prediction model implementations and adapt them to EasyTSF task contracts.

No licenceAuto-check passedData & Analytics

Install Adapt Model To Easytsf

skills CLI
$ npx skills add smilehanCN/EasyTSF --skill adapt-model-to-easytsf -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install smilehanCN/EasyTSF adapt-model-to-easytsf --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
adapt-model-to-easytsf
GitHub stars
119
Token cost
~1.2k tokens
SKILL.md length
560 words
Files
11 (incl. references, assets)
Skills in repo
3
Repo updated
First seen
Licence
None found

At a glance

Inspect external prediction model implementations and adapt them to EasyTSF task contracts.

  • Works in 5 steps: Inspect the source model code. → Classify the target prediction task. → Check the current repository fit. → …
  • The user provides model code
  • SKILL.md covers Overview, Workflow, Stop Conditions and Output Format
  • Runs Python scripts from its folder

What it does

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.

When your agent uses it

  • The user provides model code
  • Class definitions
  • Config fragments and wants Codex to classify the target task as sequenceprediction
  • Graphprediction

Example prompts

  • “/adapt-model-to-easytsf”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Inspect the source model code.
  2. Classify the target prediction task.
  3. Check the current repository fit.
  4. Map the model onto the target EasyTSF contract.
  5. Produce adaptation output.

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

    Ships script files (Python), which the agent can run.

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

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 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.”

— opening of SKILL.md by smilehanCN
name
adapt-model-to-easytsf

Read the full SKILL.md on GitHub

Files

SKILL.md and 10 other files (references, assets) in .agents/skills/adapt-model-to-easytsf of smilehanCN/EasyTSF.

  • SKILL.md
  • agents/openai.yaml
  • assets/benchmark_stub.py
  • assets/graph_prediction_experiment_stub.yaml
  • assets/grid_prediction_experiment_stub.yaml
  • assets/model_stub.py
  • assets/sequence_prediction_experiment_stub.yaml
  • references/adaptation-playbook.md
  • references/model-interface-mapping.md
  • references/repo-contract.md
  • references/task-taxonomy.md

Open the folder on GitHubat commit 7d66c2f

Compare with similar skills

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.

Adapt Model To Easytsf compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Adapt Model To Easytsf this skillsmilehanCN/EasyTSF119—~1.2kAutomated safety check: PassNone
MatplotlibzLanqing/codex-claude-academic-skills4.7k17 repos~2.9kAutomated safety check: PassMIT
Exploratory Data Analysisspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: PassMIT
Scikit LearnzLanqing/codex-claude-academic-skills4.7k16 repos~3.9kAutomated safety check: PassBSD-3-Clause
Chart Visualizationbytedance/deer-flow84k1 repos~840Automated safety check: PassMIT
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0

Similar skills

  • Matplotlib

    zLanqing/codex-claude-academic-skills

    Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.

    4.7k GitHub starsUsed in 17 repos~2.9k tokens
    Data & AnalyticsAuto-check passed
  • Exploratory Data Analysis

    spacering-net/codeg

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    3.9k GitHub starsUsed in 14 repos~3.6k tokens
    Data & AnalyticsAuto-check passed
  • Scikit Learn

    zLanqing/codex-claude-academic-skills

    Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.

    4.7k GitHub starsUsed in 16 repos~3.9k tokens
    Data & AnalyticsAuto-check passed
  • Chart Visualization

    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.

    84k GitHub starsUsed in 1 repo~840 tokens
    Data & AnalyticsAuto-check passed
  • TimesFM Forecasting

    google-research/timesfm

    Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.

    34k GitHub stars~4.7k tokensUpdated 11 days ago
    Data & AnalyticsAuto-check passed
  • Sandbox Bench

    vercel/next.js

    Official

    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…

    143k GitHub stars~4.1k tokensUpdated today
    Data & AnalyticsAuto-check passed

More from smilehanCN/EasyTSF

  • Prepare Data For Easytsf

    smilehanCN/EasyTSF

    Inspect local prediction datasets and map them onto EasyTSF task contracts.

    119 GitHub stars~663 tokensUpdated 5 mo ago
    Auto-check passed
  • Run Workflow With Easytsf

    smilehanCN/EasyTSF

    Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks.

    119 GitHub stars~667 tokensUpdated 5 mo ago
    Auto-check passed

Questions about Adapt Model To Easytsf

What does Adapt Model To Easytsf do?

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.

When should I use Adapt Model To Easytsf?

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.

How do I install Adapt Model To Easytsf in Claude Code?

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.

How do I install Adapt Model To Easytsf in Codex?

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.

Can I use Adapt Model To 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 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.

What does Adapt Model To Easytsf need to run?

Going by SKILL.md and its folder, Adapt Model To Easytsf needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Adapt Model To 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 Adapt Model To 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 Adapt Model To Easytsf use?

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.

How many tokens does Adapt Model To Easytsf use?

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.

What are the alternatives to Adapt Model To Easytsf?

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.

Who maintains Adapt Model To 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.