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.
Market prediction skill using Kronos. An agent skill from ninehills/skills.
$ npx skills add ninehills/skills --skill alphaear-predictor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ninehills/skills alphaear-predictor --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/ninehills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/alphaear-predictor .claude/skills/alphaear-predictor && 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 "alphaear-predictor" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-predictor into .claude/skills/alphaear-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-predictor", 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/ninehills/skills/tree/main/alphaear-predictorType 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 ninehills/skills --skill alphaear-predictor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ninehills/skills alphaear-predictor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/alphaear-predictor .agents/skills/alphaear-predictor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "alphaear-predictor" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-predictor into .agents/skills/alphaear-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-predictor", 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 ninehills/skills --skill alphaear-predictor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ninehills/skills alphaear-predictor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/alphaear-predictor .cursor/skills/alphaear-predictor && 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 "alphaear-predictor" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-predictor into .cursor/skills/alphaear-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-predictor", 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/ninehills/skills.git --path alphaear-predictor--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 ninehills/skills --skill alphaear-predictor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ninehills/skills alphaear-predictor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/alphaear-predictor .gemini/skills/alphaear-predictor && 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 "alphaear-predictor" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-predictor into .gemini/skills/alphaear-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-predictor", 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 ninehills/skills alphaear-predictorInstalls 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 ninehills/skills --skill alphaear-predictor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/alphaear-predictor .github/skills/alphaear-predictor && 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 "alphaear-predictor" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-predictor into .github/skills/alphaear-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-predictor", 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 ninehills/skills --skill alphaear-predictor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ninehills/skills alphaear-predictor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ninehills/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/alphaear-predictor .opencode/skills/alphaear-predictor && 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 "alphaear-predictor" agent skill from https://github.com/ninehills/skills/tree/main/alphaear-predictor into .opencode/skills/alphaear-predictor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphaear-predictor", 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.
alphaear-predictorMarket prediction skill using Kronos. An agent skill from ninehills/skills.
Alphaear Predictor is an agent skill from ninehills/skills. Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 47 other files, including scripts and reference files (for example `references/PROMPTS.md`, `scripts/__init__.py` and `scripts/forecast_agent.py`).
It sits in Data & Analytics, covering Forecasting and time series.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f3e82a7. 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 12 files in scripts/ (Python, from the files we listed), 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.
Alphaear Predictor loads about 531 tokens when it runs, and up to ~795 if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 172 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 172 words (~531 tokens).
“This skill utilizes the Kronos model (via KronosPredictorUtility) to perform time-series forecasting and adjust predictions based on news sentiment.”
SKILL.md and 40 other files (scripts, references) in alphaear-predictor of ninehills/skills.
Open the folder on GitHubat commit f3e82a7
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in ninehills/skills, which our catalogue first saw on October 7, 2026.
Alphaear Predictor 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 |
|---|---|---|---|---|---|---|
| Alphaear Predictor this skillninehills/skills | 281 | 2 repos | ~531 | Automated safety check: Pass | None | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Timesfm ForecastingzLanqing/codex-claude-academic-skills | 4.6k | 6 repos | ~7.5k | Automated safety check: Notes | Apache-2.0 | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| 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
Zero-shot time series forecasting with Google's TimesFM foundation model.
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
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.
Raidriar7170/hermes-skilleval
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.
ninehills/skills
Track finance investment signal evolution and update logic based on new finance market information.
ninehills/skills
Analyze finance text sentiment using FinBERT or LLM. An agent skill from ninehills/skills.
ninehills/skills
A skill your agent uses when the user wants to create any technical diagram - architecture, data flow, flowchart, sequence, agent/memory, or concept map - and export as SVG+PNG.
ninehills/skills
把图片、截图、海报、PPT 页面截图、HTML 或 SVG 设计稿转换成可编辑 PPTX 的 Codex skill. An agent skill from ninehills/skills.
ninehills/skills
把一张或多张图片整理成 PSD 图层文件的创作与转换 skill。当用户需要 image2psd、图片转 PSD、 多张图片拼成 PSD、海报/设计稿拆成多个图层、白底转透明、颜色聚类拆层、把 Codex/AI 生图结果拆成元素图再合成 PSD、 或希望输出 layered PSD、可在 Photoshop/Photopea 中编辑的分层栅格文件时,应该使用此 skill。
ninehills/skills
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work.
Categories
Market prediction skill using Kronos. An agent skill from ninehills/skills. Alphaear Predictor is an agent skill from ninehills/skills. Market prediction skill using Kronos.
Alphaear Predictor fits situations like: user needs finance market time-series forecasting; news-aware finance market adjustments.
Run `npx skills add ninehills/skills --skill alphaear-predictor -a claude-code`. Or copy the skill folder (alphaear-predictor in ninehills/skills) into .claude/skills/alphaear-predictor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ninehills/skills --skill alphaear-predictor -a codex`. Or copy the skill folder (alphaear-predictor in ninehills/skills) into .agents/skills/alphaear-predictor 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 ninehills/skills --skill alphaear-predictor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alphaear-predictor, .gemini/skills/alphaear-predictor, .github/skills/alphaear-predictor and .opencode/skills/alphaear-predictor in your project.
Going by SKILL.md and its folder, Alphaear Predictor 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Alphaear Predictor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 531 tokens (SKILL.md is roughly 2.1k 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 264 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Alphaear Predictor: TimesFM Forecasting (google-research/timesfm, 34k stars), Timesfm Forecasting (zLanqing/codex-claude-academic-skills, 4.6k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.6k 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.
ninehills (a GitHub user) maintains it in ninehills/skills, which has 281 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on June 22, 2026.
Source: ninehills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.