SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change…
$ npx skills add BankrBot/skills --skill aeon-huggingface-trending -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BankrBot/skills aeon-huggingface-trending --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/BankrBot/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/aeon-huggingface-trending .claude/skills/aeon-huggingface-trending && 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 "aeon-huggingface-trending" agent skill from https://github.com/BankrBot/skills/tree/main/aeon-huggingface-trending into .claude/skills/aeon-huggingface-trending/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeon-huggingface-trending", 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/BankrBot/skills/tree/main/aeon-huggingface-trendingType 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 BankrBot/skills --skill aeon-huggingface-trending -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BankrBot/skills aeon-huggingface-trending --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/aeon-huggingface-trending .agents/skills/aeon-huggingface-trending && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aeon-huggingface-trending" agent skill from https://github.com/BankrBot/skills/tree/main/aeon-huggingface-trending into .agents/skills/aeon-huggingface-trending/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeon-huggingface-trending", 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 BankrBot/skills --skill aeon-huggingface-trending -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BankrBot/skills aeon-huggingface-trending --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/aeon-huggingface-trending .cursor/skills/aeon-huggingface-trending && 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 "aeon-huggingface-trending" agent skill from https://github.com/BankrBot/skills/tree/main/aeon-huggingface-trending into .cursor/skills/aeon-huggingface-trending/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeon-huggingface-trending", 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/BankrBot/skills.git --path aeon-huggingface-trending--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 BankrBot/skills --skill aeon-huggingface-trending -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BankrBot/skills aeon-huggingface-trending --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/aeon-huggingface-trending .gemini/skills/aeon-huggingface-trending && 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 "aeon-huggingface-trending" agent skill from https://github.com/BankrBot/skills/tree/main/aeon-huggingface-trending into .gemini/skills/aeon-huggingface-trending/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeon-huggingface-trending", 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 BankrBot/skills aeon-huggingface-trendingInstalls 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 BankrBot/skills --skill aeon-huggingface-trending -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/aeon-huggingface-trending .github/skills/aeon-huggingface-trending && 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 "aeon-huggingface-trending" agent skill from https://github.com/BankrBot/skills/tree/main/aeon-huggingface-trending into .github/skills/aeon-huggingface-trending/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeon-huggingface-trending", 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 BankrBot/skills --skill aeon-huggingface-trending -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BankrBot/skills aeon-huggingface-trending --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BankrBot/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/aeon-huggingface-trending .opencode/skills/aeon-huggingface-trending && 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 "aeon-huggingface-trending" agent skill from https://github.com/BankrBot/skills/tree/main/aeon-huggingface-trending into .opencode/skills/aeon-huggingface-trending/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aeon-huggingface-trending", 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.
aeon-huggingface-trendingTrending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change…
Aeon Huggingface Trending is an agent skill from BankrBot/skills. Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change, notable author). Surfaces what's actually shifting rather than just popular. Triggers: "trending on HF", "what models are hot", "huggingface trending", "new spaces today", "best new datasets".
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `catalog.json`).
It sits in AI & LLM Engineering, covering Model hubs and datasets and LLM inference and serving. It works with Hugging Face. The repository describes itself as: Bankr Skills equip builders with plug-and-play tools to build more powerful agents.
Read from SKILL.md and the folder at commit dc47eed. 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.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
huggingface.coFrom 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.
Aeon Huggingface Trending loads about 496 tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 165 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 165 words (~496 tokens).
“Daily filtered scan over HF's three trending surfaces — models, datasets, spaces — cluster-ranked rather than raw-download ranked.”
SKILL.md and 1 other file in aeon-huggingface-trending of BankrBot/skills.
Open the folder on GitHubat commit dc47eed
Aeon Huggingface Trending 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 |
|---|---|---|---|---|---|---|
| Aeon Huggingface Trending this skillBankrBot/skills | 1.2k | — | ~496 | Automated safety check: Pass | None | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Qwen Mtp GgufR6410418/Jackrong-llm-finetuning-guide | 1.7k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Hugging Face Local Modelshuggingface/skills | 11k | 3 repos | ~945 | Automated safety check: Pass | Apache-2.0 | |
| Hf Quant And Layer Package JobsMesh-LLM/mesh-llm | 3.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
R6410418/Jackrong-llm-finetuning-guide
Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release.
huggingface/skills
Finds llama.cpp-compatible GGUF models on the Hugging Face Hub, picks a quantization for your hardware and launches them with llama-cli or llama-server.
Mesh-LLM/mesh-llm
A skill your agent uses when running quantization of a BF16/FP16 GGUF repo and Skippy layer-package creation as one local or Hugging Face Jobs workflow, publishing both artifacts to Hugging Face.
ericrisco/rsc-harness
A skill your agent uses when choosing an open-weight LLM and clearing it for use — which family and size fit the task, the hardware and the budget, and above all whether the license permits shipping.
BankrBot/skills
Builds onchain apps with Coinbase's OnchainKit React components and TypeScript utilities: wallet connection, identity, token swaps, transactions and checkout flows.
BankrBot/skills
Lists AgenticBets prediction markets on Base, shows odds, places UP or DOWN bets on token prices in USDC and claims winnings through the Bankr wallet API.
BankrBot/skills
Creates AI2Human tasks for steps that need a real person, such as manual QA or local checks, and returns a task URL the agent can track.
BankrBot/skills
Lets an agent inspect and operate AZZLE V2 tasks on Base through Bankr, from posting and claiming to funding, delivery, release and disputes, behind verified deployment pins.
BankrBot/skills
Inspect B20 token contract addresses on Base through B20 Console.
BankrBot/skills
Paste a URL or free text and get matched Polymarket / Hyperliquid / Deribit markets with Quotient edge scores.
Works with
Categories
Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change…. Aeon Huggingface Trending is an agent skill from BankrBot/skills. Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick (architecture shift, size step, license change, notable author).
Aeon Huggingface Trending fits situations like: tasks that involve Model hubs and datasets; tasks that involve LLM inference and serving.
Run `npx skills add BankrBot/skills --skill aeon-huggingface-trending -a claude-code`. Or copy the skill folder (aeon-huggingface-trending in BankrBot/skills) into .claude/skills/aeon-huggingface-trending in your project. Claude Code loads it when a task matches its description.
Run `npx skills add BankrBot/skills --skill aeon-huggingface-trending -a codex`. Or copy the skill folder (aeon-huggingface-trending in BankrBot/skills) into .agents/skills/aeon-huggingface-trending 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 BankrBot/skills --skill aeon-huggingface-trending -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aeon-huggingface-trending, .gemini/skills/aeon-huggingface-trending, .github/skills/aeon-huggingface-trending and .opencode/skills/aeon-huggingface-trending in your project.
Going by SKILL.md and its folder, Aeon Huggingface Trending needs the command-line tools its instructions call (curl).
SKILL.md names 1 domain. In commands or code: huggingface.co; the agent is likely to contact it when it follows the instructions. 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 Aeon Huggingface Trending or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 496 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Aeon Huggingface Trending: SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars), Qwen Mtp Gguf (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars) and Hugging Face Local Models (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
BankrBot (a GitHub organization) maintains it in BankrBot/skills, which has 1,202 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 10, 2026.
Source: BankrBot/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.