Agent skill

ai-coaching

Multi-turn conversational AI for intent extraction, clarification, and generation readiness detection. Guides users through articulating creative intent with structured parameter extraction.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ai-coaching-dadbodgeoff-drift --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Requires: TypeScript/JavaScript, Python
Path: skills/ai-llm/ai-coaching-dadbodgeoff-drift/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AI Coaching System Multi-turn conversational AI that guides users through articulating intent. ## When to Use This Skill - Building AI assistants that need to understand complex user intent - Need structured parameter extraction from conversation - Want to detect when user intent is ready for action - Implementing clarification flows for ambiguous input ## Core Concepts The coach helps users articulate WHAT they want, not HOW to achieve it. It extracts structured intent through conversation, tracks ambiguities, and signals readiness only after user confirmation. ``` User Input → Intent Parser → Schema Update → Readiness Check → Coach Response ``` ## Implementation ### Python ```python from dataclasses import dataclass, field from datetime import datetime from typing import Optional, List, Dict, Any from enum import Enum import re class ReadinessState(str, Enum): NOT_READY = "not_ready" NEEDS_CLARIFICATION = "needs_clarification" AWAITING_CONFIRMATION = "awaiting_confirmation" READY = "ready" @dataclass class AmbiguousAnnotation: text: str possible_intents: List[str] resolved: bool = False resolution: Optional[str] = None @dataclass class CreativeIntentSchema: """Structured repres

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Core Concepts
  3. Implementation
  4. Python
  5. TypeScript
  6. Usage Examples
  7. Best Practices
  8. Common Mistakes
  9. Related Patterns
Ships with 1 file
  • metadata.json
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About this skill
What does the ai-coaching skill do?

Multi-turn conversational AI for intent extraction, clarification, and generation readiness detection. Guides users through articulating creative intent with structured parameter extraction.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ai-coaching-dadbodgeoff-drift --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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