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Hypothesis Extraction

hypothesis-extraction

Identify, structure, and catalog testable hypotheses from pilot signals and strategic inputs. Use when transforming unstructured idea lists or pilot objectives into a formal hypothesis registry for experimental planning.

SKILL.md

Full skill instructions

Hypothesis Extraction

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 (optional)

Create only the resource directories this skill actually needs. Delete this section if no resources are required.

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 Codex for patching or environment adjustments.

references/

Documentation and reference material intended to be loaded into context to inform Codex'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 Codex should reference while working.

assets/

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


Not every skill requires all three types of resources.

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