Skillify

Create a well-structured, reusable Amplifier SKILL.md skill file that captures a repeatable process from the current session so it can be invoked again later via /skill-name. The skill must conform to the Agent Skills specification with Amplifier extensions.

Inputs

• $ARGUMENTS: (Optional) Description of the process to capture as a skill.

Steps

1. Consult Skills-Assist

Before writing any skill content, load the authoritative skills reference:

load_skill("skills-assist")

Ask skills-assist about:

• Current frontmatter field reference and best practices
• Fork vs inline decision criteria
• Step annotation conventions
• Testing patterns for the type of skill being created

skills-assist is the source of truth for Amplifier skill conventions. The examples in this skill are illustrative samples — consult skills-assist for the complete and up-to-date specification.

Success criteria: You have loaded and consulted skills-assist for the latest skill authoring conventions.

2. Analyze the Session

Before asking the user anything, analyze the conversation history to identify:

• What repeatable process was performed
• What the inputs and parameters were
• The distinct steps in order
• The success criteria and artifacts for each step (not just "writing code" but "an open PR with CI passing")
• Where the user corrected or steered you — these are important design signals
• What tools were used (read_file, write_file, bash, glob, grep, delegate, etc.)
• What agents were delegated to
• What the goals and measurable outcomes were

Success criteria: You have a clear mental model of the process, its steps, inputs, outputs, and success criteria.

3. Interview the User

Output density rule: Group related decisions into natural clusters — not one question per turn (tedious) and not everything at once (overwhelming). Present your analysis first, let the user absorb it, then ask related questions together. For example, present identity/routing decisions as one cluster, execution model decisions as another.