Agent skill

Python AI

by ChrisTitusTech in ChrisTitusTech/titus-ai

Build and troubleshoot Python AI applications involving model APIs, local LLMs, retrieval, tools, agents, prompts, evaluation, or AI dependencies.

No licenceAuto-check passedAI & LLM Engineering

Install Python AI

skills CLI
$ npx skills add ChrisTitusTech/titus-ai --skill python-ai -a claude-code

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

GitHub CLI
$ gh skill install ChrisTitusTech/titus-ai python-ai --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/ChrisTitusTech/titus-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/python-ai .claude/skills/python-ai && 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
python-ai
GitHub stars
145
Token cost
~601 tokens
SKILL.md length
278 words
Files
3 (incl. references)
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

Build and troubleshoot Python AI applications involving model APIs, local LLMs, retrieval, tools, agents, prompts, evaluation, or AI dependencies.

  • Works in 5 steps: Inspect the affected provider, model,… → Determine privacy, latency, cost, and… → Preserve existing rollback paths. Add… → …
  • AI & LLM Engineering work in your project
  • SKILL.md covers Workflow, Diagnostics, Safety Rules and Validation
  • Calls uv

What it does

Python AI is an agent skill from ChrisTitusTech/titus-ai. Build and troubleshoot Python AI applications involving model APIs, local LLMs, retrieval, tools, agents, prompts, evaluation, or AI dependencies.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/openai-migrations.md`).

It sits in AI & LLM Engineering. It works with Python and OpenAI.

When your agent uses it

  • AI & LLM Engineering work in your project

Example prompts

  • “/python-ai”

Requirements

  • Python 3

Workflow steps

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

  1. Inspect the affected provider, model, dependencies, prompts, tools, and data
  2. Determine privacy, latency, cost, and reliability impact.
  3. Preserve existing rollback paths. Add feature flags or provider fallbacks
  4. Implement the smallest model, prompt, retrieval, or tool change.
  5. Validate deterministic code paths and representative AI behavior.

What it can do on your machine

Read from SKILL.md and the folder at commit 162d624. 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

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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

Python AI loads about 601 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 278 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~601
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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 278 words (~601 tokens).

“flow. Use the project's existing environment and test commands.”

— opening of SKILL.md by ChrisTitusTech
name
python-ai

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in .agents/skills/python-ai of ChrisTitusTech/titus-ai.

  • SKILL.md
  • agents/openai.yaml
  • references/openai-migrations.md

Open the folder on GitHubat commit 162d624

Compare with similar skills

Python AI 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.

Python AI compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Python AI this skillChrisTitusTech/titus-ai145—~601Automated safety check: PassNone
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k8 repos~2.3kAutomated safety check: PassMIT
Agent Squad Python Guide2FastLabs/agent-squad7.8k—~4.7kAutomated safety check: PassApache-2.0
Azure AI Projects Python SDKmicrosoft/skills3.1k6 repos~2.8kAutomated safety check: PassMIT
Add Example AgentGetBindu/Bindu10k—~1.1kAutomated safety check: NotesCustom licence
Kiln Check Finetune DeprecationKiln-AI/Kiln5.2k—~1.9kAutomated safety check: NotesCustom licence

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Works with

Questions about Python AI

What does Python AI do?

Build and troubleshoot Python AI applications involving model APIs, local LLMs, retrieval, tools, agents, prompts, evaluation, or AI dependencies. Python AI is an agent skill from ChrisTitusTech/titus-ai. Build and troubleshoot Python AI applications involving model APIs, local LLMs, retrieval, tools, agents, prompts, evaluation, or AI dependencies.

When should I use Python AI?

Python AI fits situations like: AI & LLM Engineering work in your project.

How do I install Python AI in Claude Code?

Run `npx skills add ChrisTitusTech/titus-ai --skill python-ai -a claude-code`. Or copy the skill folder (.agents/skills/python-ai in ChrisTitusTech/titus-ai) into .claude/skills/python-ai in your project. Claude Code loads it when a task matches its description.

How do I install Python AI in Codex?

Run `npx skills add ChrisTitusTech/titus-ai --skill python-ai -a codex`. Or copy the skill folder (.agents/skills/python-ai in ChrisTitusTech/titus-ai) into .agents/skills/python-ai in your project. Codex loads it when a task matches its description.

Can I use Python AI 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 ChrisTitusTech/titus-ai --skill python-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-ai, .gemini/skills/python-ai, .github/skills/python-ai and .opencode/skills/python-ai in your project.

What does Python AI need to run?

Going by SKILL.md and its folder, Python AI needs the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Python AI access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Python AI 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 Python AI use?

No licence was found for Python AI or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Python AI use?

About 601 tokens (SKILL.md is roughly 2.4k 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 547 tokens, read only when the agent opens those files.

What are the alternatives to Python AI?

Skills that share tags, products or a category with Python AI: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars), Azure AI Projects Python SDK (microsoft/skills, 3.1k stars) and Add Example Agent (GetBindu/Bindu, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Python AI?

ChrisTitusTech (a GitHub user) maintains it in ChrisTitusTech/titus-ai, which has 145 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

Source: ChrisTitusTech/titus-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.