Deslop
SkillDev toolsRun a bounded final deslop pass on a nearly-finished change using slop-scan deltas, focused review lenses, and post-cleanup re-verification
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Deslop skill
What this skill tells your AI
The instructions your AI receives, as published by udecode/kitcn in .agents/skills/deslop/SKILL.md and read by ahel’s review.
Use this after the implementation already works and before commit or push. This is not a planning workflow and not a rescue mission for broken code. It is the last pressure pass that strips noise out of an otherwise-correct diff.
Core Contract
- Deslop is a bounded helper inside the normal execution lane, not a competing end-to-end workflow.
- Default scope is changed files only. Do not widen to the whole repo unless the user asks.
- Prefer deleting or inlining over introducing fresh abstraction.
- Treat slop-scan as signal, not law. Fix the good hits. Ignore the fake ones.
What Counts As Slop
Focus on concrete smell families, not vague "AI code" vibes:
- needless abstraction: pass-through wrappers, barrel-only indirection, async noise, single-use helper layers
- duplication: repeated signatures, repeated mock setup, local copy-paste helpers
- defensive noise: empty catches, error swallowing, error obscuring where the real fix is to rethrow or narrow once
- structural fragmentation: over-fragmentation and fan-out hotspots when they land in the changed area
- placeholders and leftovers: TODO comments, dead helpers, debug scraps, fake scaffolding text
Inputs To Gather
Before cleanup, collect:
- repo root
AGENTS.md - any nested
AGENTS.mdor design docs that govern the changed area - the active plan file when one exists
- the changed-files list or explicit file scope
- fresh verification evidence from the implementation pass
- the repo slop delta command output
Review Lenses
When the user explicitly asked for deslop / cleanup / refactor, run these 3 review lenses in parallel on the same context bundle:
- Repo rules and documentation conformance
- Type safety and source of truth
- Simplification and overengineering
If parallel reviewers are unavailable, do the same 3 lenses locally before editing.
Procedure
-
Lock behavior first
- If current behavior is not already protected, add or run the narrowest regression proof before cleanup edits.
-
Bound the scope
- Build a changed-files list or explicit file scope.
- Stay inside that scope for both review and cleanup.
-
Launch the review lenses
- Give every reviewer the same context bundle and one assigned lens.
- Ask for findings first, ordered by severity, with file references.
-
Run slop delta while reviewers work
- Prefer the repo script:
bun run lint:slop:delta - If it does not exist, fall back to
slop-scan delta ... - Use delta, not raw repo-wide scan, to focus on added and worsened noise.
- Prefer the repo script:
-
Synthesize before editing
- Merge the reviewer output and delta output under:
How did we do?Feedback to keepFeedback to ignorePlan of attack
- Merge the reviewer output and delta output under:
-
Apply only the worthwhile fixes
- type drift, casts, or duplicated type definitions
- pass-through wrappers, async noise, fake helper seams
- dead helpers, placeholder comments, debug leftovers
- duplicate mock setup or local copy-paste helpers
- empty or error-obscuring internal catches when the right fix is simpler
-
Re-run the narrowest affected verification
- rerun the same tests, lint, and typecheck lanes that protect the touched area
- if a stronger final gate already existed, rerun it after cleanup
-
Update the story
- Make sure the active plan, commit text, and PR-facing text describe the post-deslop state, not the earlier draft.
Stop Rules
- Do not widen scope because the scan found juicy unrelated cleanup.
- Do not start product work during deslop.
- Do not add abstraction to fix abstraction.
- If generated, vendored, or fixture noise dominates the scan, filter it and move on.
- If behavior is not locked and cleanup would be risky, stop and lock behavior first.
Expected Output
Return an evidence-dense cleanup report:
- scope
- behavior lock / verification used
- top slop deltas
- feedback kept vs ignored
- simplifications applied
- post-deslop verification
- remaining risks or explicitly deferred cleanup
Signals
- GitHub stars
- 447
- Forks
- 34
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
deslop-udecode- Source
- github.com/udecode/kitcn