Detect and fix writing, reasoning, and LLM output anti-patterns in text.
npx skills add https://github.com/varlabz/skills --skill anti-patterns-varlabz
Please help me install this Agent Skill. Skill: anti-patterns Source: https://github.com/varlabz/skills/tree/main/other/anti-patterns Command: npx skills add https://github.com/varlabz/skills --skill anti-patterns-varlabz
High-intent search queries and answers about installing and using this skill.
Scan the text for phrases like "Let's dive in," "delve," "tapestry," "game-changer," and "In today's world," then replace them with direct statements of the actual content. The writing-and-docs reference lists each cliché with its concrete fix.
Replace qualifiers like "I think that," "it seems that," and "might possibly" with direct statements or explicit uncertainty. Swap vague quantifiers such as "many" or "significantly" for actual numbers, names, or cited sources.
Common LLM coding anti-patterns include API hallucination, missing imports, ignored error handling, overengineering, and assuming modern API versions. Fixes include checking official documentation, running the code, and requesting the simplest solution first.
Yes, the reasoning reference covers fallacies including false dichotomy, straw man, circular reasoning, survivorship bias, and correlation versus causation. It also addresses false balance, where unequal evidence is presented as equally valid.
LLMs exhibit self-reinforcing errors and overconfidence, so they often fail to catch their own mistakes. Verify facts and citations independently, run generated code, and treat first outputs as drafts requiring iteration.
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radaristVerifies unfamiliar web sources and viral claims using the SIFT lateral-reading method.
EsposterEnforce oxlint and ESLint conventions for TypeScript projects.
