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Claude Code Marketplaces

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Independent project, not affiliated with Anthropic
addyosmani avatar

Interview Me

addyosmani/agent-skills
19.2k installs88.2k stars
Summary

Before you write a line of code, this extracts what the user actually wants instead of what they think they should ask for. It works by asking one question at a time, each with your best guess attached, until you can predict their next three answers. Use it when requests are underspecified (missing who, why, or what success looks like) or when you catch yourself filling in ambiguous requirements silently. The confidence threshold is 95%, measured by whether you can actually predict reactions, not vibes. It stops polite users from agreeing with your guesses just to move forward and catches the gap between "I want it scalable" and what they'd build if nobody was watching. Output is a confirmed statement of intent, not a spec.

Install to Claude Code

npx -y skills add addyosmani/agent-skills --skill interview-me --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Categories
Testing & QADevOps & CI/CDAI & Agent BuildingProductivity & Planning
First SeenJun 3, 2026
View on GitHub

More from addyosmani/agent-skills

All 24 skills →
  • Doubt Driven Development18.9k
  • Observability And Instrumentation16.7k
  • Code Review And Quality28.7k
  • Frontend Ui Engineering25.6k
  • Planning And Task Breakdown25.2k
  • Spec Driven Development25k
  • Security And Hardening24.8k
  • Performance Optimization24.2k
  • Documentation And Adrs24k
  • Incremental Implementation23.7k
  • Code Simplification23.7k
  • Debugging And Error Recovery23.6k
  • Test Driven Development23.3k
  • Context Engineering22.9k
  • Api And Interface Design22.5k
  • Using Agent Skills22k
  • Idea Refine22k
  • Git Workflow And Versioning21.6k
  • Browser Testing With Devtools21.5k
  • Ci Cd And Automation21.3k
  • Shipping And Launch20.9k
  • Source Driven Development20.8k
  • Deprecation And Migration20.7k

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python-design-patterns

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Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.
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gargantuax/openskills

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