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.
Plan or run EasyTSF experiment, benchmark, and report workflows for prediction tasks.
$ npx skills add smilehanCN/EasyTSF --skill run-workflow-with-easytsf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install smilehanCN/EasyTSF run-workflow-with-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/run-workflow-with-easytsf .claude/skills/run-workflow-with-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 "run-workflow-with-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/run-workflow-with-easytsf into .claude/skills/run-workflow-with-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-workflow-with-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/run-workflow-with-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 run-workflow-with-easytsf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install smilehanCN/EasyTSF run-workflow-with-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/run-workflow-with-easytsf .agents/skills/run-workflow-with-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 "run-workflow-with-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/run-workflow-with-easytsf into .agents/skills/run-workflow-with-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-workflow-with-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 run-workflow-with-easytsf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install smilehanCN/EasyTSF run-workflow-with-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/run-workflow-with-easytsf .cursor/skills/run-workflow-with-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 "run-workflow-with-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/run-workflow-with-easytsf into .cursor/skills/run-workflow-with-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-workflow-with-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/run-workflow-with-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 run-workflow-with-easytsf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install smilehanCN/EasyTSF run-workflow-with-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/run-workflow-with-easytsf .gemini/skills/run-workflow-with-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 "run-workflow-with-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/run-workflow-with-easytsf into .gemini/skills/run-workflow-with-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-workflow-with-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 run-workflow-with-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 run-workflow-with-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/run-workflow-with-easytsf .github/skills/run-workflow-with-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 "run-workflow-with-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/run-workflow-with-easytsf into .github/skills/run-workflow-with-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-workflow-with-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 run-workflow-with-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 run-workflow-with-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/run-workflow-with-easytsf .opencode/skills/run-workflow-with-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 "run-workflow-with-easytsf" agent skill from https://github.com/smilehanCN/EasyTSF/tree/next/.agents/skills/run-workflow-with-easytsf into .opencode/skills/run-workflow-with-easytsf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run-workflow-with-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.
run-workflow-with-easytsfPlan 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. 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.
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.
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.
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.
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.
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 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.”
SKILL.md and 4 other files (references) in .agents/skills/run-workflow-with-easytsf of smilehanCN/EasyTSF.
Open the folder on GitHubat commit 7d66c2f
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Run Workflow With Easytsf this skillsmilehanCN/EasyTSF | 119 | — | ~667 | Automated safety check: Pass | None | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Timesfm ForecastingzLanqing/codex-claude-academic-skills | 4.7k | 3 repos | ~7.5k | Automated safety check: Notes | Apache-2.0 | |
| Find Hypertable Candidatestimescale/pg-aiguide | 1.9k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Pensieve Searcharkohut/pensieve | 1.4k | — | ~8.2k | Automated safety check: Pass | Apache-2.0 |
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
zLanqing/codex-claude-academic-skills
Zero-shot time series forecasting with Google's TimesFM foundation model.
timescale/pg-aiguide
A skill your agent uses to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables.
arkohut/pensieve
Search the user's local Pensieve screenshot archive by text, app, or time range.
ninehills/skills
Market prediction skill using Kronos. An agent skill from ninehills/skills.
smilehanCN/EasyTSF
Inspect external prediction model implementations and adapt them to EasyTSF task contracts.
smilehanCN/EasyTSF
Inspect local prediction datasets and map them onto EasyTSF task contracts.
Categories
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.
Run Workflow With Easytsf fits situations like: the user wants task-aware config guidance; exact CLI commands; A workflow extension plan for sequenceprediction; graphprediction.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Run Workflow With Easytsf is instructions for the agent only.
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 Run Workflow With Easytsf or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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.
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.