what-81000-people-want-from-ai

name	what-81000-people-want-from-ai
description	What 81,000 people want from AI
metadata	{"title":"What 81,000 people want from AI","url":"https://www.anthropic.com/81k-interviews","date":"Mar 18, 2026","section":"featured","category":"Societal Impacts"}
license	Complete terms in LICENSE.txt

What 81000 People Want From Ai

Overview

[TODO: 1-2 sentences explaining what this skill enables]

Structuring This Skill

[TODO: Choose the structure that best fits this skill's purpose. Common patterns:

1. Workflow-Based (best for sequential processes)

• Works well when there are clear step-by-step procedures
• Example: DOCX skill with "Workflow Decision Tree" → "Reading" → "Creating" → "Editing"
• Structure: ## Overview → ## Workflow Decision Tree → ## Step 1 → ## Step 2...

2. Task-Based (best for tool collections)

• Works well when the skill offers different operations/capabilities
• Example: PDF skill with "Quick Start" → "Merge PDFs" → "Split PDFs" → "Extract Text"
• Structure: ## Overview → ## Quick Start → ## Task Category 1 → ## Task Category 2...

3. Reference/Guidelines (best for standards or specifications)

• Works well for brand guidelines, coding standards, or requirements
• Example: Brand styling with "Brand Guidelines" → "Colors" → "Typography" → "Features"
• Structure: ## Overview → ## Guidelines → ## Specifications → ## Usage...

4. Capabilities-Based (best for integrated systems)

• Works well when the skill provides multiple interrelated features
• Example: Product Management with "Core Capabilities" → numbered capability list
• Structure: ## Overview → ## Core Capabilities → ### 1. Feature → ### 2. Feature...

Patterns can be mixed and matched as needed. Most skills combine patterns (e.g., start with task-based, add workflow for complex operations).

Delete this entire "Structuring This Skill" section when done - it's just guidance.]

[TODO: Replace with the first main section based on chosen structure]

[TODO: Add content here. See examples in existing skills:

• Code samples for technical skills
• Decision trees for complex workflows
• Concrete examples with realistic user requests
• References to scripts/templates/references as needed]

Resources

This skill includes example resource directories that demonstrate how to organize different types of bundled resources:

scripts/

Executable code (Python/Bash/etc.) that can be run directly to perform specific operations.

Examples from other skills:

• PDF skill: fill_fillable_fields.py, extract_form_field_info.py - utilities for PDF manipulation
• DOCX skill: document.py, utilities.py - Python modules for document processing

Appropriate for: Python scripts, shell scripts, or any executable code that performs automation, data processing, or specific operations.

Note: Scripts may be executed without loading into context, but can still be read by Claude for patching or environment adjustments.

references/

Documentation and reference material intended to be loaded into context to inform Claude's process and thinking.

Examples from other skills:

• Product management: communication.md, context_building.md - detailed workflow guides
• BigQuery: API reference documentation and query examples
• Finance: Schema documentation, company policies

Appropriate for: In-depth documentation, API references, database schemas, comprehensive guides, or any detailed information that Claude should reference while working.

assets/

Files not intended to be loaded into context, but rather used within the output Claude produces.

Examples from other skills:

• Brand styling: PowerPoint template files (.pptx), logo files
• Frontend builder: HTML/React boilerplate project directories
• Typography: Font files (.ttf, .woff2)

Appropriate for: Templates, boilerplate code, document templates, images, icons, fonts, or any files meant to be copied or used in the final output.

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Any unneeded directories can be deleted. Not every skill requires all three types of resources.