Agent skill

Run Workflow With Easytsf

by smilehanCN in smilehanCN/EasyTSF

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

No licenceAuto-check passedData & Analytics

Install Run Workflow With Easytsf

skills CLI
$ npx skills add smilehanCN/EasyTSF --skill run-workflow-with-easytsf -a claude-code

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

GitHub CLI
$ gh skill install smilehanCN/EasyTSF run-workflow-with-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/run-workflow-with-easytsf .claude/skills/run-workflow-with-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
run-workflow-with-easytsf
GitHub stars
119
Token cost
~667 tokens
SKILL.md length
286 words
Files
5 (incl. references)
Skills in repo
3
Repo updated
First seen
Licence
None found

At a glance

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

  • Works in 5 steps: Classify the prediction task. → Inspect the current repository surface. → Decide whether the workflow is directly… → …
  • The user wants task-aware config guidance
  • 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

Run Workflow With Easytsf is an agent skill from smilehanCN/EasyTSF. Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks. Use when the user wants task-aware config guidance, exact CLI commands, or a workflow extension plan for sequenceprediction, graphprediction, or gridprediction. Classify the task first, then decide whether the current repository can run it directly or whether workflow, config, and task-layer expansion is required.

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/current-repo-surface.md` and `references/task-taxonomy.md`).

It sits in Data & Analytics, covering Forecasting and time series. The repository describes itself as: Experiment ASsistance for Your Time-Series Forecasting, EasyTSF.

When your agent uses it

  • The user wants task-aware config guidance
  • Exact CLI commands
  • A workflow extension plan for sequenceprediction
  • Graphprediction

Example prompts

  • “/run-workflow-with-easytsf”

Workflow steps

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

  1. Classify the prediction task.
  2. Inspect the current repository surface.
  3. Decide whether the workflow is directly runnable today.
  4. Keep the config surface explicit.
  5. Separate current runtime advice from future task design.

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

Run Workflow With Easytsf loads about 667 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 286 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~667
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

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 286 words (~667 tokens).

“Use this skill for the full EasyTSF workflow surface: single experiment, benchmark search, and report generation. Start from the target prediction task and current repository state, not from assumptions.”

— opening of SKILL.md by smilehanCN
name
run-workflow-with-easytsf

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references) in .agents/skills/run-workflow-with-easytsf of smilehanCN/EasyTSF.

  • SKILL.md
  • agents/openai.yaml
  • references/current-repo-surface.md
  • references/task-taxonomy.md
  • references/workflow-contract.md

Open the folder on GitHubat commit 7d66c2f

Compare with similar skills

Run Workflow With 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.

Run Workflow With Easytsf compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Run Workflow With Easytsf this skillsmilehanCN/EasyTSF119—~667Automated safety check: PassNone
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0
StatsmodelszLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause
Timesfm ForecastingzLanqing/codex-claude-academic-skills4.7k3 repos~7.5kAutomated safety check: NotesApache-2.0
Find Hypertable Candidatestimescale/pg-aiguide1.9k1 repos~2.6kAutomated safety check: PassApache-2.0
Pensieve Searcharkohut/pensieve1.4k—~8.2kAutomated safety check: PassApache-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.

    119 GitHub stars~1.2k tokensUpdated 5 mo ago
    Auto-check passed
  • 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

Questions about Run Workflow With Easytsf

What does Run Workflow With Easytsf do?

Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks. Run Workflow With Easytsf is an agent skill from smilehanCN/EasyTSF. Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks.

When should I use Run Workflow With Easytsf?

Run Workflow With Easytsf fits situations like: the user wants task-aware config guidance; exact CLI commands; A workflow extension plan for sequenceprediction; graphprediction.

How do I install Run Workflow With Easytsf in Claude Code?

Run `npx skills add smilehanCN/EasyTSF --skill run-workflow-with-easytsf -a claude-code`. Or copy the skill folder (.agents/skills/run-workflow-with-easytsf in smilehanCN/EasyTSF) into .claude/skills/run-workflow-with-easytsf in your project. Claude Code loads it when a task matches its description.

How do I install Run Workflow With Easytsf in Codex?

Run `npx skills add smilehanCN/EasyTSF --skill run-workflow-with-easytsf -a codex`. Or copy the skill folder (.agents/skills/run-workflow-with-easytsf in smilehanCN/EasyTSF) into .agents/skills/run-workflow-with-easytsf in your project. Codex loads it when a task matches its description.

Can I use Run Workflow With 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 run-workflow-with-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/run-workflow-with-easytsf, .gemini/skills/run-workflow-with-easytsf, .github/skills/run-workflow-with-easytsf and .opencode/skills/run-workflow-with-easytsf in your project.

What does Run Workflow With Easytsf need to run?

SKILL.md names no scripts, command-line tools or credentials: Run Workflow With Easytsf is instructions for the agent only.

Does Run Workflow With 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 Run Workflow With 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 Run Workflow With Easytsf use?

No licence was found for Run Workflow With Easytsf or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Run Workflow With Easytsf use?

About 667 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 810 tokens, read only when the agent opens those files.

What are the alternatives to Run Workflow With Easytsf?

Skills that share tags, products or a category with Run Workflow With Easytsf: TimesFM Forecasting (google-research/timesfm, 34k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars), Timesfm Forecasting (zLanqing/codex-claude-academic-skills, 4.7k stars) and Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Run Workflow With 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.