Agent skill

subagent-refactoring-methodology

Analysis criteria, transformation patterns, output format, and validation checklist for refactoring Claude Code agent prompt files. Load this skill when preparing to run the subagent-refactorer agent or when reviewing agent prompt files for structural, model optimization, or instruction quality improvements.

Stars 33
Forks 4

Install this agent skill to your Project

npx add-skill https://github.com/Jamie-BitFlight/claude_skills/tree/main/plugins/plugin-creator/skills/subagent-refactoring-methodology

SKILL.md

Subagent Refactoring Methodology

Analysis Criteria

Structural Issues

  • Are instructions explicit and unambiguous, or do they use vague qualifiers ("try to", "might", "consider")?
  • Is there a clear hierarchical structure (markdown headers) with logical flow: role → responsibilities → process → output?
  • Are concerns properly separated (instructions vs examples vs data)?
  • Missing sections: role definition, process steps, output format, boundaries?

Model Optimization

  • Sonnet (default): cost-optimized, parallel tool execution, effort calibration explicit
  • Opus (upgrade only with observed complexity evidence): complex coding, multi-step agents, computer use

Constitutional AI patterns: self-critique loops, validation checkpoints before output, principles-based over rules-based, evidence-based reasoning enforced.

XML usage: strategic tagging for specific sections only — NOT full document conversion.

Instruction Quality

text
STRONG imperatives: MUST, ALWAYS, NEVER, REQUIRED, FORBIDDEN
WEAK qualifiers to eliminate: "try to", "should", "consider", "might"

ACTIVE:  "Generate X"
PASSIVE: "X should be generated"  ← eliminate

CONCRETE: "Include exactly 3 examples with code blocks"
VAGUE:    "Include some examples"  ← eliminate

Check for contradictory instructions. Claude prioritizes system parameter and Constitutional AI principles when conflicting.

Transformation Patterns

text
VAGUE → EXPLICIT:
"Try to use examples"           → "MUST include minimum 2 examples with full code blocks"
"Should consider error handling" → "ALWAYS validate inputs; NEVER proceed with invalid data"

PASSIVE → ACTIVE:
"The file should be read"       → "READ the file using the Read tool"
"Analysis may be needed"        → "ANALYZE [specific aspect] using [specific methodology]"

AMBIGUOUS → QUANTIFIED:
"Some details"                  → "Minimum 3 specific details with examples"
"Brief description"             → "1-2 sentence description, maximum 50 words"

Correct Agent Structure Pattern

markdown
# Role and Objective

You are a [specific role]. Your mission is [clear, singular objective].

## Constraints

You MUST NOT:
- [Explicit limitation]

## Process Steps

<process>
  <step_1>Analyze requirements</step_1>
  <step_2>Design solution</step_2>
  <step_3>Generate implementation</step_3>
  <step_4>Validate output</step_4>
</process>

## Output Format

[Format specification with placeholders]

## Examples

<examples>
  <example id="1">
    <input>[Exact input]</input>
    <output>[Complete output in exact format]</output>
    <rationale>[Official source supporting this pattern]</rationale>
  </example>
</examples>

KEY: markdown headers for structure, XML tags strategically for specific sections (process steps, examples), NOT wrapping the entire agent.

Tool Selection

For each tool in an agent's list, ask: "Would the agent fail without this tool?" If no, remove it.

text
File reading/analysis:      Read, Grep, Glob
File creation:              Write, Edit
Research/documentation:     WebSearch, WebFetch, MCP Ref tools
Code operations:            Read, Write, Edit, Bash
Orchestration:              Task, TodoWrite

Prefer specific tools over generic (Grep over Bash for search).

Output Format Specification

Deliver three artifacts:

1. Analysis report

markdown
# Subagent Refactoring Analysis: [Agent Name]

## Structural Issues Identified
- [Issue with specific example from original]

## Model Optimization Opportunities
- [Opportunity with citation to official source]

## Instruction Quality Issues
- [Issue: quote original instruction, explain problem]

## Research Citations
1. [Source URL] — [Key finding applied]

2. Refactored agent file

markdown
## Changes Summary

Major Structural Changes:
1. [Change] — [Rationale with citation]

Instruction Improvements:
- [X vague phrases replaced with imperatives]
- [Y examples added]
- [Z tools removed]

<new_agent_file>
[Complete agent file]
</new_agent_file>

3. Validation checklist — confirm all items before delivery:

  • Role defined in one sentence
  • Output specified with verifiable form
  • All instructions use MUST/NEVER/ALWAYS
  • No vague qualifiers remain
  • Active voice throughout
  • Strategic XML applied (not full-document conversion)
  • Tool set minimal — each tool has named use case
  • Minimum 2 examples included
  • All changes cite official Anthropic sources

Self-Validation Before Delivery

  1. Did I consult official Anthropic documentation? → Cite specific URL and finding
  2. Are ALL recommendations backed by Claude-specific authoritative sources? → List source per major change
  3. Did I remove, not add, unnecessary complexity? → Justify each addition
  4. Can someone implement this exactly as written? → Test by reading instructions literally

Anti-patterns to avoid:

  • Adding features not requested
  • Citing blog posts instead of official documentation
  • Applying techniques from outdated model versions
  • Converting entire agent to XML format (contradicts Anthropic guidance)
  • Adding tools "just in case"

Expand your agent's capabilities with these related and highly-rated skills.

Jamie-BitFlight/claude_skills

ccc

This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about ccc, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'ccc', 'cocoindex-code'.

33 4
Explore
Jamie-BitFlight/claude_skills

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

33 4
Explore
Jamie-BitFlight/claude_skills

delegate

Quick delegation template for sub-agent prompts. Use when assigning work to a sub-agent, before invoking the Agent tool, or when preparing prompts for specialized agents. Provides the WHERE-WHAT-WHY framework. For comprehensive delegation guidance, activate the agent-orchestration how-to-delegate skill.

33 4
Explore
Jamie-BitFlight/claude_skills

swarm-spawning

Spawn agents and teammates in Claude Code swarms. Use when choosing between subagents vs teammates, selecting agent types (Explore, Plan, general-purpose, plugin agents), configuring spawn backends (in-process, tmux, iterm2), or setting environment variables for spawned agents.

33 4
Explore
Jamie-BitFlight/claude_skills

knowledge-explorer

Manage the research/ knowledge base (KB) of tool and library research entries. Use when browsing KB topics, adding new research entries, updating existing entries with dated revisions, fetching GitHub repo metadata into a draft KB entry, or migrating old-format entries to skill-spec frontmatter. Triggers on tasks like "what do we have on X", "add this to the KB", "update the KB entry for Y", "fetch github info for owner/repo", or "migrate old entries".

33 4
Explore
Jamie-BitFlight/claude_skills

design-anti-patterns

Enforce anti-AI UI design rules based on the Uncodixfy methodology. Use when generating HTML, CSS, React, Vue, Svelte, or any frontend UI code. Prevents "Codex UI" — the generic AI aesthetic of soft gradients, floating panels, oversized rounded corners, glassmorphism, hero sections in dashboards, and decorative copy. Applies constraints from Linear/Raycast/Stripe/GitHub design philosophy: functional, honest, human-designed interfaces. Triggers on: UI generation, dashboard building, frontend component creation, CSS styling, landing page design, or any task producing visual interface code.

33 4
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results