Tao Port Huggingface Model
NVIDIA/skills
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).
Matemático ultra-avançado inspirado em Terence Tao. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill matematico-tao -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills matematico-tao --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/matematico-tao .claude/skills/matematico-tao && 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 "matematico-tao" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/matematico-tao into .claude/skills/matematico-tao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matematico-tao", 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/sickn33/agentic-awesome-skills/tree/main/skills/matematico-taoType 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 sickn33/agentic-awesome-skills --skill matematico-tao -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills matematico-tao --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/matematico-tao .agents/skills/matematico-tao && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "matematico-tao" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/matematico-tao into .agents/skills/matematico-tao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matematico-tao", 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 sickn33/agentic-awesome-skills --skill matematico-tao -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills matematico-tao --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/matematico-tao .cursor/skills/matematico-tao && 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 "matematico-tao" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/matematico-tao into .cursor/skills/matematico-tao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matematico-tao", 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/sickn33/agentic-awesome-skills.git --path skills/matematico-tao--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 sickn33/agentic-awesome-skills --skill matematico-tao -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills matematico-tao --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/matematico-tao .gemini/skills/matematico-tao && 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 "matematico-tao" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/matematico-tao into .gemini/skills/matematico-tao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matematico-tao", 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 sickn33/agentic-awesome-skills matematico-taoInstalls 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 sickn33/agentic-awesome-skills --skill matematico-tao -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/matematico-tao .github/skills/matematico-tao && 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 "matematico-tao" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/matematico-tao into .github/skills/matematico-tao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matematico-tao", 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 sickn33/agentic-awesome-skills --skill matematico-tao -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills matematico-tao --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/matematico-tao .opencode/skills/matematico-tao && 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 "matematico-tao" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/matematico-tao into .opencode/skills/matematico-tao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matematico-tao", 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.
matematico-taoMatemático ultra-avançado inspirado em Terence Tao. An agent skill from sickn33/agentic-awesome-skills.
Matematico Tao is an agent skill from sickn33/agentic-awesome-skills. Matemático ultra-avançado inspirado em Terence Tao. Análise rigorosa de código e arquitetura com teoria matemática profunda: teoria da informação, teoria dos grafos, complexidade computacional, álgebra linear, análise estocástica, teoria das categorias, probabilidade bayesiana e lógica formal.
Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/auri-analysis.md`, `references/complexity-patterns.md` and `references/concurrency-models.md`).
The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit b84d35a. 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 2 files in scripts/ (Python), 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.
Matematico Tao loads about 459 tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 180 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.
The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 180 words, ~459 tokens.
.claude/skills/matematico-tao/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references) in skills/matematico-tao of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit b84d35a
We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 9, 2026.
Matematico Tao 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 |
|---|---|---|---|---|---|---|
| Matematico Tao this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~459 | Automated safety check: Pass | MIT | |
| Tao Port Huggingface ModelNVIDIA/skills | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | |
| Tao SetupNVIDIA/skills | 3.6k | — | ~1.8k | Automated safety check: Warn | Apache-2.0 | |
| Tao ArtifactsNVIDIA/skills | 3.6k | — | ~1.4k | Automated safety check: Notes | Apache-2.0 | |
| TAO Image EmbeddingsNVIDIA/skills | 3.6k | — | ~2k | Automated safety check: Notes | Apache-2.0 | |
| Tao Convert Dataset FormatNVIDIA/skills | 3.6k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 |
NVIDIA/skills
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).
NVIDIA/skills
One-time session setup and orchestration map for the TAO skill bank.
NVIDIA/skills
The contract home for TAO's SDK-free execution pipeline — authoritative JSON Schemas for the four typed artifacts (spec-bundle, job-record, resultsdir layout, bestrec) plus the fixed job-status…
NVIDIA/skills
Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining.
NVIDIA/skills
Run tao-daft convert to convert NVIDIA TAO DAFT datasets between supported formats.
NVIDIA/skills
Run tao-daft validate to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Matemático ultra-avançado inspirado em Terence Tao. An agent skill from sickn33/agentic-awesome-skills. Matematico Tao is an agent skill from sickn33/agentic-awesome-skills. Matemático ultra-avançado inspirado em Terence Tao.
Run `npx skills add sickn33/agentic-awesome-skills --skill matematico-tao -a claude-code`. Or copy the skill folder (skills/matematico-tao in sickn33/agentic-awesome-skills) into .claude/skills/matematico-tao in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill matematico-tao -a codex`. Or copy the skill folder (skills/matematico-tao in sickn33/agentic-awesome-skills) into .agents/skills/matematico-tao 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 sickn33/agentic-awesome-skills --skill matematico-tao -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/matematico-tao, .gemini/skills/matematico-tao, .github/skills/matematico-tao and .opencode/skills/matematico-tao in your project.
Going by SKILL.md and its folder, Matematico Tao 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.
Matematico Tao is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 459 tokens (SKILL.md is roughly 1.8k 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 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Matematico Tao: Tao Port Huggingface Model (NVIDIA/skills, 3.6k stars), Tao Setup (NVIDIA/skills, 3.6k stars), Tao Artifacts (NVIDIA/skills, 3.6k stars) and TAO Image Embeddings (NVIDIA/skills, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.