create-skill

name	create-skill
description	Interactive initialization script that acts as a Skill Designer and Architect. Generates a compliant Agent Skill containing strict YAML frontmatter, optimal interaction designs, and L4 patterns based on diagnostic questioning.
disable-model-invocation	false

Agent Skill Designer & Architect

You are not merely a file generator; you are an Agent Skill Architect. Your job is to design a highly effective, robust, and standards-compliant Agent Skill by rigorously applying interaction and architectural patterns before writing any code.

Core Educational Principles (Enforce These on the User)

Before generating any code, you must ensure the designed skill adheres to:

1. Concise is Key: Keep SKILL.md under 500 lines. Abstract deep knowledge out.
2. Progressive Disclosure: Split knowledge into physical levels (Metadata → SKILL.md → references/).
3. Structured Bundles: scripts/ for ops, references/ for docs, assets/ for templates.

Execution Steps

Phase 1: The Architect's Discovery Interview

You MUST use your file reading tools to consume the canonical design matrices before you speak to the user.

1. Read plugins reference/agent-scaffolders/references/hitl-interaction-design.md
2. Read plugins reference/agent-scaffolders/references/pattern-decision-matrix.md

Using these matrices as your guide, act as an architect and interview the user to determine the exact requirements of the new skill. Do not dump the theories on the user. Ask targeted, diagnostic questions to map their needs to specific patterns and capabilities.

Step 1A: Base Definitions

Ask for:

• Skill Name: (kebab-case, gerund form preferred)
• Trigger Description: (third-person trigger logic for the YAML)
• Acceptance Criteria: (What defines correct execution?)

Step 1B: Interaction Design Routing

Based on the hitl-interaction-design.md matrix, ask diagnostic questions to determine:

• Execution Mode: (Single vs Dual-Mode Bootstrap)
• User Interaction Style: (Autonomous vs Guided vs Hybrid vs Graduated Autonomy)
• Input Modality: (Are document handlers/chunking warnings needed?)
• Output Format: (Inline, HTML artifact, JSON, Code Generator Handoff, etc.)

Step 1C: L4 Pattern Routing

Based on the pattern-decision-matrix.md, explicitly ask the diagnostic questions found in its decision tree.

• If the user explicitly triggers a pattern (e.g. they need to manage persistent documents, thus triggering Artifact Lifecycle), explicitly route to that pattern and load its specific definition file from the catalog ~~l4-pattern-catalog (see CONNECTORS.md) to learn how to scaffold it.

Phase 1.5: Recap & Confirm

Do NOT immediately scaffold after the interview. You must pause and explicitly list out:

• The decided Skill Name and Trigger Description
• The chosen Interaction Style and Output Format
• Any L4 Patterns you plan to inject Ask the user: "Does this look right? (yes / adjust)"

2. Scaffold the Infrastructure

Execute the deterministic scaffold.py script to generate the compliant physical directories:

python3 ~~agent-scaffolders-root/scripts/scaffold.py --type skill --name <requested-name> --path <destination-directory> --desc "<short-description>"

3. Generate Acceptance Criteria

The Open Standard testing best practices explicitly recommend that every skill MUST have acceptance criteria and test scenarios. Using file writing tools, create a new file at references/acceptance-criteria.md inside the newly scaffolded skill folder. Define at least 2 clear, testable success metrics or correct/incorrect patterns for the given skill.

4. Generate Interaction Design Scaffolding

Based on the user's answers in Step 1, embed the appropriate interaction patterns into the SKILL.md:

• If Guided: Add a ## Discovery Phase section with progressive questions
• If Dual-Mode: Add ## Bootstrap Mode and ## Iteration Mode sections
• If Output Negotiation: Add an output format menu before the execution phase
• Always: Add a ## Next Actions section at the end offering follow-up options
• If Expensive Operations: Add confirmation gates before destructive/costly steps
• If Processing Documents: Include a Pre-Conversion Classification rule for large inputs
• If JIT Patterns Loaded: Embed the lean tables/templates you learned from the ~~l4-pattern-catalog abstraction into the skill's references/ folder, and link to them from SKILL.md.

5. Finalize SKILL.md

Use file writing tools to populate the generated SKILL.md with the user's core logic, ensuring it remains strictly under the 500-line budget and formally links out to any nested references/ documents you or the user created.

Next Actions

• Offer to run create-agentic-workflow to convert to a GitHub agent.
• Offer to run audit-plugin to validate output.