New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

AI Product

by davila7 in davila7/claude-code-templates

Every product will be AI-powered. An agent skill from davila7/claude-code-templates.

MITAuto-check passedAI & LLM Engineering

Install AI Product

skills CLI
$ npx skills add davila7/claude-code-templates --skill ai-product -a claude-code

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

GitHub CLI
$ gh skill install davila7/claude-code-templates ai-product --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/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/business-marketing/ai-product .claude/skills/ai-product && 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
ai-product
GitHub stars
33k
Used in
4 other repos
Token cost
~540 tokens
SKILL.md length
225 words
Files
1
Skills in repo
479
Repo updated
First seen
Licence
MIT

At a glance

Every product will be AI-powered. An agent skill from davila7/claude-code-templates.

  • Tasks that involve Third-party API integration
  • SKILL.md covers Patterns, Anti-Patterns and ⚠️ Sharp Edges
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Product is an agent skill from davila7/claude-code-templates. Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, filepatterns, codepatterns.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Third-party API integration. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.

When your agent uses it

  • Tasks that involve Third-party API integration

Example prompts

  • “/ai-product”

What it can do on your machine

Read from SKILL.md and the folder at commit 79182c5. 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

    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.

  • Network

    No URLs in SKILL.md.

    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

AI Product loads about 540 tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~540

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

The full file from davila7/claude-code-templates at commit 79182c5, republished under its MIT licence (© davila7). 225 words, ~540 tokens.

Download SKILL.mdSave it as .claude/skills/ai-product/SKILL.md (or your agent's skills folder).
name
ai-product
description
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.
source
vibeship-spawner-skills (Apache 2.0)

AI Product Development

You are an AI product engineer who has shipped LLM features to millions of users. You've debugged hallucinations at 3am, optimized prompts to reduce costs by 80%, and built safety systems that caught thousands of harmful outputs. You know that demos are easy and production is hard. You treat prompts as code, validate all outputs, and never trust an LLM blindly.

Patterns

Structured Output with Validation

Use function calling or JSON mode with schema validation

Streaming with Progress

Stream LLM responses to show progress and reduce perceived latency

Prompt Versioning and Testing

Version prompts in code and test with regression suite

Anti-Patterns

❌ Demo-ware

Why bad: Demos deceive. Production reveals truth. Users lose trust fast.

❌ Context window stuffing

Why bad: Expensive, slow, hits limits. Dilutes relevant context with noise.

❌ Unstructured output parsing

Why bad: Breaks randomly. Inconsistent formats. Injection risks.

⚠️ Sharp Edges

IssueSeveritySolution
Trusting LLM output without validationcritical# Always validate output:
User input directly in prompts without sanitizationcritical# Defense layers:
Stuffing too much into context windowhigh# Calculate tokens before sending:
Waiting for complete response before showing anythinghigh# Stream responses:
Not monitoring LLM API costshigh# Track per-request:
App breaks when LLM API failshigh# Defense in depth:
Not validating facts from LLM responsescritical# For factual claims:
Making LLM calls in synchronous request handlershigh# Async patterns:

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-tool/components/skills/business-marketing/ai-product of davila7/claude-code-templates.

Open the folder on GitHubat commit 79182c5

Used in 4 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

Compare with similar skills

AI Product 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.

AI Product compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Product this skilldavila7/claude-code-templates33k4 repos~540Automated safety check: PassMIT
Hugging Face API Tool Builderhuggingface/skills11k2 repos~1.5kAutomated safety check: PassApache-2.0
Hex Docs Searchbradleygolden/claude-marketplace-elixir176—~4.1kAutomated safety check: NotesMIT
Langchain ArchitectureHermeticOrmus/LibreUIUX-Claude-Code11210 repos~2.5kAutomated safety check: PassMIT
Dspy Agent Framework Quick RefQredence/agentic-fleet111—~1kAutomated safety check: PassMIT
AI Agent Builderclaude-office-skills/skills505—~3.1kAutomated safety check: PassMIT

Similar skills

  • Hugging Face API Tool Builder

    huggingface/skills

    Official

    Builds reusable command line scripts that fetch, enrich or process data from the Hugging Face API, aimed at chained, repeated or automated tasks.

    11k GitHub starsUsed in 2 repos~1.5k tokens
    AI & LLM EngineeringAuto-check passed

  • Hex Docs Search

    bradleygolden/claude-marketplace-elixir

    Research Hex packages (Sobelow, Phoenix, Ecto, Credo, Ash, etc).

    176 GitHub stars~4.1k tokensUpdated 9 mo ago
    AI & LLM EngineeringAuto-check: notes

  • Langchain Architecture

    HermeticOrmus/LibreUIUX-Claude-Code

    Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns.

    112 GitHub starsUsed in 10 repos~2.5k tokens
    AI & LLM EngineeringAuto-check passed

  • Dspy Agent Framework Quick Ref

    Qredence/agentic-fleet

    Quick reference card for DSPy + Agent Framework integration patterns: typed signatures, assertions, routing cache, and agent handoffs.

    111 GitHub stars~1k tokensUpdated 6 mo ago
    AI & LLM EngineeringAuto-check passed

  • AI Agent Builder

    claude-office-skills/skills

    Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns

    505 GitHub stars~3.1k tokensUpdated 8 mo ago
    AI & LLM EngineeringAuto-check passed

  • Openrouter

    davidondrej/skills

    Design, build, debug, and optimize OpenRouter API integrations.

    4.1k GitHub stars~1.3k tokensUpdated today
    AI & LLM EngineeringAuto-check passed

More from davila7/claude-code-templates

All 479 skills in this repo

  • Perplexity Web Search

    davila7/claude-code-templates

    Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.

    33k GitHub starsUsed in 11 repos~3.5k tokens
    Auto-check: notes

  • Neuropixels Data Analysis

    davila7/claude-code-templates

    Analyzes Neuropixels recordings from SpikeGLX or Open Ephys through preprocessing, drift correction, Kilosort4 spike sorting, quality metrics and curation.

    33k GitHub starsUsed in 9 repos~2.8k tokens
    Auto-check passed

  • Scientific Venue Templates

    davila7/claude-code-templates

    Supplies LaTeX templates and formatting rules for journals, conferences, posters, and grant proposals, then can check a draft against them.

    33k GitHub starsUsed in 9 repos~5.1k tokens
    Auto-check: notes

  • Brand Voice Content Creator

    davila7/claude-code-templates

    Analyzes a brand's existing writing to lock in a consistent voice, then builds SEO blog posts and platform-specific social content around it.

    33k GitHub starsUsed in 3 repos~1.9k tokens
    Auto-check passed

  • CAPA Officer

    davila7/claude-code-templates

    Guides corrective and preventive action (CAPA) work in a quality management system, from initiation and root cause analysis through effectiveness verification.

    33k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed

  • Fda Consultant Specialist

    davila7/claude-code-templates

    Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management.

    33k GitHub starsUsed in 1 repo~2.7k tokens
    Auto-check passed

Categories

Questions about AI Product

What does AI Product do?

Every product will be AI-powered. An agent skill from davila7/claude-code-templates. AI Product is an agent skill from davila7/claude-code-templates. Every product will be AI-powered.

When should I use AI Product?

AI Product fits situations like: tasks that involve Third-party API integration.

How do I install AI Product in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill ai-product -a claude-code`. Or copy the skill folder (cli-tool/components/skills/business-marketing/ai-product in davila7/claude-code-templates) into .claude/skills/ai-product in your project. Claude Code loads it when a task matches its description.

How do I install AI Product in Codex?

Run `npx skills add davila7/claude-code-templates --skill ai-product -a codex`. Or copy the skill folder (cli-tool/components/skills/business-marketing/ai-product in davila7/claude-code-templates) into .agents/skills/ai-product in your project. Codex loads it when a task matches its description.

Can I use AI Product 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 davila7/claude-code-templates --skill ai-product -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-product, .gemini/skills/ai-product, .github/skills/ai-product and .opencode/skills/ai-product in your project.

What does AI Product need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Product is instructions for the agent only.

Does AI Product access the network?

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.

Is AI Product 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 AI Product use?

AI Product is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AI Product use?

About 540 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to AI Product?

Skills that share tags, products or a category with AI Product: Hugging Face API Tool Builder (huggingface/skills, 11k stars), Hex Docs Search (bradleygolden/claude-marketplace-elixir, 176 stars), Langchain Architecture (HermeticOrmus/LibreUIUX-Claude-Code, 112 stars) and Dspy Agent Framework Quick Ref (Qredence/agentic-fleet, 111 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Product?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,552 GitHub stars. The repository holds 479 skills in this directory. The repository was last updated on October 11, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.