declauding
SolidRemoves LLM prose tics from drafts — staged reveals, "it's not X, it's Y", significance tags, abstraction agency, coy headers, fragment cadence, plus the flatter slop patterns (copula avoidance, participle tails, forced triads, chatbot residue, filler and hedging) — and returns plain human technical prose. Use when text needs editing for register, when someone says "de-claude", "de-slop", "humanize this", "this reads like AI", "make this sound human", "remove the tics/claudisms", or asks for a voice/register pass on a post, README, report, PR description or essay. Also use before publishing any draft Claude wrote. Produces either clean prose or an annotated HTML diff showing every edit with its original and reason.
Install
Quality Score: 84/100
Skill Content
Details
- Author
- oaustegard
- Repository
- oaustegard/claude-skills
- Created
- 10 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
declawed
De-slop pass for any text: mechanically scans for the statistical tells of AI writing (the "not X but Y" reflex, puffery, uniform cadence, …) and rewrites by meaning into the target register, tweet to academic paper. Use when the user says "declawed"/"deslop", asks to remove AI tells / humanize text / make it not sound like AI, names a specific tell to strip, or before publishing any agent-drafted prose.
claude-md
Shrink an oversized CLAUDE.md. Measures what the project's always-loaded instructions cost per turn, then works through it section by section — cutting what the codebase already says, moving path-specific guidance to .claude/rules/ and prompt-specific conventions to .clawness/rules/, and leaving load-bearing "don't undo this" content where it is. Destructive and deliberate: run it when you have the session to spend.
ai-slop-magic-eraser
Strips the tells of machine-generated writing while preserving meaning exactly, then corrects errors, hallucinations, contradictions and inventions. Removes hedging, sycophancy, meta-commentary, inflated register, formulaic cadence, em dashes and emojis, and equally fixes the opposite failure - clipped aphoristic prose that asserts instead of informs. Use when text is described as reading like AI, like ChatGPT, generic, templated, bloated, corny, cringe, or "not how I talk"; when it reads as clipped, noir, preachy, or like it is performing authority; when polishing any model-drafted document before it ships; when asked to de-slop, tighten, or humanize writing. Read it BEFORE drafting a document someone else will read. Ships a linter (scripts/slop_check.py). Not for code logic.