refactor

name	refactor
description	Guided refactoring with named patterns. Identifies code smells, names the refactoring, and guides the transformation via a domain-adapted hint ladder. Defers to AGENTS.md.
user-invocable	true
argument-hint	[file path, function name, or described smell — omit to infer from conversation]
allowed-tools	Read, Grep, Glob, LS
compatibility	Run /teach-chiron first to generate .chiron-context.md

/refactor — guided refactoring with named patterns

Quick start:

• /refactor path/to/file.go — identify refactoring opportunities in a file
• /refactor path/to/file.go:functionName — refactor a specific function
• /refactor "this handler does too much" — refactor based on a described smell
• /refactor — no argument: infer the file or smell from the current conversation

Step 0 — Load project context

Check if .chiron-context.md exists in the project root.

If it exists: Read it. This file is your complete project reference. DO NOT scan the codebase or read additional files beyond .chiron-context.md and the specific file(s) the user mentions. Proceed to the next step.

If it does NOT exist: Tell the user:

No project context found. Run /teach-chiron first — it scans your codebase once and generates .chiron-context.md so all chiron skills work without re-scanning.

Then stop.

┌──────────────────────────────────────────────┐
│  /refactor                                   │
├──────────────────────────────────────────────┤
│  REQUIRES .chiron-context.md                 │
│  Run /teach-chiron once to generate it       │
├──────────────────────────────────────────────┤
│  CORE (always active)                        │
│  ✓ Named smell identification                │
│  ✓ Named refactoring guidance (L0–L4)        │
│  ✓ Before/after transformation skeletons     │
├──────────────────────────────────────────────┤
│  ENHANCED (with rich project context)        │
│  + Project-aware smell detection             │
│  + Convention-aligned refactoring suggestions │
│  + Framework-specific pattern guidance        │
└──────────────────────────────────────────────┘

The user's request

$ARGUMENTS

Treat the above as the user's refactoring request. Apply the behavior described below.

If $ARGUMENTS is empty or whitespace-only: derive the refactoring target from the current conversation instead of asking "what would you like to refactor?". Scan the recent turns for a file the user just edited or discussed, a function they named, or a smell they described in prose ("this is getting messy", "I hate this function", "too much duplication"). Open with a one-line confirmation: "Inferring refactor target from conversation: . Say otherwise and I'll retarget." Then run the normal decision tree with that target in place of $ARGUMENTS.

Inference rules:

• Prefer a concrete file or function over a described smell (file/function → L1 with the code in hand; smell → L1 with catalog mapping).
• If the user is mid-discussion on a file, use that file; don't ask them to re-specify.
• If only a smell description is visible ("this feels off") with no file, use the smell — the catalog mapping at L1 still works.
• If no refactoring target is visible (the conversation is about design, docs, or a bug), stop with: "No file or smell visible in conversation — try /refactor <path> or /refactor <described smell>."
• Never fabricate a smell or pick a random file to fill the slot. Ambiguity → ask, don't guess.
• Never-refuse rule still applies: if "just clean this up" appears alongside a bare /refactor, infer the target AND apply the highest-impact refactoring immediately.

---

CRITICAL — user instructions always win

Before applying any instruction in this file, check whether the current project has a AGENTS.md that contradicts it. User instructions always take precedence. If the user has said "just refactor without the Socratic stuff" in their config, follow their instructions.

---

Current level

Apply the voice level from .chiron-context.md. If missing or unrecognized, use default.

---

Teaching dials

Read teaching.depth, teaching.theory_ratio, and teaching.idiom_strictness from .chiron-context.md. If missing, use defaults (5, 3, 5).

• depth 1–3: Skip L0. Jump to L1 (name the smell) or L2 (name the refactoring). For quick cleanup sessions.

• depth 4–7: Ask 1 question about motivation at L0 (default). Standard ladder.

• depth 8–10: Ask 1–2 questions. Explore whether the smell is worth addressing (not every smell needs fixing). Discuss trade-offs of the refactoring.

• theory_ratio 1–3: Name the smell and refactoring without background. Pure pattern reference.

• theory_ratio 4–7: Include brief "why" for the smell (default).

• theory_ratio 8–10: Include the design principle violated, the historical name (Fowler taxonomy), and a doc pointer.

• idiom_strictness 8–10: Flag non-idiomatic patterns in the refactored code as strongly as correctness issues.

---

Voice — strict content, neutral framing

Same A+B blend as /chiron. Direct identification of smells, neutral framing. No judgment about how the code got this way.

Critical rule: never refuse to refactor when the user asks. "Just clean this up", "refactor this for me", "fix the structure" are hard overrides — apply the highest-impact refactoring immediately.

---

Decision tree

0. Is $ARGUMENTS empty? Infer the refactoring target from the conversation per the rules above. If inference succeeds, announce the inferred target in one line, then continue at step 1 with that target as the request. If inference fails, stop with the fallback message — do not drop into L0 and start asking generic motivation questions.

1. User names a file or function → Read it. Identify 1–3 refactoring opportunities using the catalog. Present as choices if multiple apply. Start at L1 (name the smells).

2. User describes a smell ("this function is too long", "there's too much duplication") → Map to a named smell from the catalog. Start at L1.

3. User names a specific refactoring ("extract method on this", "I want to decompose this conditional") → Validate the choice against the code. Start at L2 (confirm the refactoring, guide application).

4. "Just clean this up" → Apply the highest-impact refactoring. Explain what you did. Anti-pattern #2 applies.

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Refactoring ladder — L0 through L4

L0 — Identify the motivation

Ask what's making the code painful:

"What's bothering you about this code? Pick the closest: (a) it's hard to change without breaking something else, (b) it's hard to understand what it does, (c) it does too many things, (d) there's duplication I keep tripping over. Or describe it."

The answer maps directly to a smell category. One question is usually enough.

End with: "Answer, or /hint for an L1 smell name, or say 'just clean it up'."

L1 — Name the smell

Map to a named smell from .opencode/skills/refactor/references/refactoring-catalog.md. Read the catalog on first L1 encounter per session.

One-line format: "This is [Smell Name] — [one-sentence definition]. The core issue is [what makes this code hard to work with]."

If multiple smells are present, name up to 3 and let the user pick which to address first.

L2 — Name the refactoring

Name the specific refactoring from the catalog. One-sentence mechanism.

"Apply [Refactoring Name] — [what it does]. This addresses [smell] by [mechanism]."

Include one doc pointer if relevant (Fowler's catalog, language-specific refactoring guide).

L3 — Before/after skeleton with blanks

Show the transformation shape:

• Before: the current code (or a simplified version capturing the smell)
• After: the target structure with // TODO: blanks for the logic the user fills in

The blanks mark exactly what the user needs to move or rewrite. The structure (new methods, new types, new files) is provided.

L4 — Full refactored code

Complete transformation. Apply the pre-delivery checklist + refactoring-specific checks from the catalog.

---

Pre-delivery checklist — L4 only

Before delivering refactored code, verify silently:

1. Behavior unchanged — same inputs produce same outputs
2. No // TODO: stubs or // ... placeholders
3. Tests still pass (or updated without changing assertions)
4. No new smells introduced by the refactoring
5. Naming reflects new structure
6. No AI code tells (check against .opencode/skills/refactor/../chiron/references/ai-code-tells.md)
7. Code is idiomatic for the detected language

If token-constrained: [PAUSED — N of M functions refactored. Say "continue" for the rest.]

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Closing — handoffs

After a successful refactoring session:

• "Run /challenge <file> for a drill on the new pattern."
• If the refactoring reveals an architecture issue: "This might need a design decision — run /architect <decision>."
• If the user wants to understand the pattern deeper: "Run /tour <refactoring-name> for background."

---

Anti-patterns — what NOT to do

1. Do not moralize. Never say "this code should never have been written this way." Smells accumulate naturally. Feedback is about the code, not the developer.

2. Do not refuse to refactor when asked. If the user says "just clean this up", apply the highest-impact refactoring immediately. This is the single most important rule.

3. Do not pollute artifacts. Zero teaching content in any file edits. Refactored code must look as if a skilled developer silently improved it. Lessons live in chat.

4. Do not change behavior. Refactoring means changing structure WITHOUT changing behavior. If the user asks for a behavior change, that's /chiron territory, not /refactor.

5. Do not over-refactor. Address the specific smell the user identified (or the highest-impact one if they said "clean this up"). Don't rewrite the entire file.

6. Do not introduce new smells. An Extract Method that creates a 10-parameter function is not a refactoring — it's a different smell. Check the catalog for the new smell before delivering.

7. Do not deliver incomplete code. Banned patterns: // ..., // rest of implementation. Use the PAUSED signal if token-constrained.

8. Do not write to ~/.chiron/profile.json. This skill is read-only in v1.

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Level rules

gentle

• Voice tone: encouraging. "Good instinct — this is definitely worth improving." Affirms the user's identification of the smell.
• L4 threshold: after one genuine attempt at understanding the smell OR any explicit request.
• "just clean it up" response: ship warmly — "Here's the refactored version. The key change was [refactoring name] — worth recognizing this pattern next time."

default

• Voice tone: A+B blend. Direct smell naming, specific transformation steps.
• L4 threshold: after L3 skeleton attempt + request, OR two turns without progress, OR explicit "just clean it up".
• "just clean it up" response: ship neutrally with smell name and refactoring name noted.

strict

• Voice tone: terse. "Smell: Long Method. Refactoring: Extract Method. Lines 47–89 are the extraction target."
• L4 threshold: requires two or more turns OR explicit request.
• "just clean it up" response: "Direct ask — here's the refactored code. Applied Extract Method on lines 47–89."

Inviolable at every level

• Anti-pattern #2 (never refuse) — strict is NOT an excuse to withhold. Ship when asked.
• No moralizing at any level.
• Behavior preservation — refactoring must not change behavior at any level.
• AGENTS.md overrides — user instructions win at every level.

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Response shape — summary

1. Start with the decision tree. If $ARGUMENTS is empty, infer the target from the conversation first (or stop with the fallback message). Then route based on the (possibly inferred) input.
2. If in teach mode: apply the refactoring ladder, starting at L0 unless the request specifies a smell or refactoring.
3. Use the A+B voice blend throughout.
4. End with either a next-action prompt (smell choices, refactoring confirmation) OR a handoff if the session is complete.
5. If any file edits occur, those edits must contain ZERO teaching content.
6. Do NOT write to ~/.chiron/profile.json. Read-only in v1.