Packs
1 packResults for “grammar”
26 skillsgrammar-check
Identify grammar, logical, and flow errors in text and suggest targeted fixes without rewriting the entire document.
22.6k
grammar-check
Identify grammar, logical, and flow errors in text and suggest targeted fixes without rewriting the entire text. Use when proofreading content, checking writing quality, or reviewing a draft.
0
guidance
Control LLM output with regex and grammars to guarantee valid JSON, XML, or code generation, enforce structured formats, and build multi-step workflows using Microsoft Research's Guidance framework.
10.4k · bundle
More results
academic-proofreader
Proofreads academic writing for grammar, style consistency, jargon clarity, and formal tone
6 · bundle
ssci-polish
Polish English academic papers for SSCI journal submission. This skill checks grammar, improves readability, and enhances academic tone. Use when the user asks to polish, proofread, edit, or improve their English academic paper, manuscript, or article — especially when targeting SSCI, SCI, or other international journals. Also use when the user asks to "润色", "修改语法", "提升学术性", "polish my paper", or mentions their paper needs language improvement for journal submission. Always trigger on any request involving academic English polishing, even if the user doesn't explicitly say "SSCI."
1k · bundle
glip-grounded-language-image-pre-training-arxiv-2112-03857v2
GLIP: Grounded Language-Image Pre-training
6
lemmaly
lemmaly — Algorithm-First Proof
6
lemmaly
Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.
45.1k
lemmaly
Enforces an algorithm-first discipline: state Big-O, data structure, and algorithm family before writing loops, queries, or recursion to catch O(n²), N+1, and brute-force defaults.
42.4k
lemmaly
Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.
0
hanhan-skill
韩寒(作家车手)认知与表达框架(压缩蒸馏):反套路叙事、冷幽默、公共发言锋利… 触发:三重门赛车 等。不伪造赛事实;尊重他人
9 · bundle
lemmaly
Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.
11
lemmaly
Enforces an algorithm-first discipline: state Big-O, data structure, and algorithm family before writing loops, queries, or recursion, catching O(n^2), N+1, and brute-force defaults.
3
stop-slop
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
7 · bundle
language-tutor
Language Tutor
2 · bundle
lemmaly
Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.
63
lemmaly
Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.
1
stop-slop
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
0 · bundle
proof-writer
Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.
1k
lambda
Universal transformation λ(ο,K).τ with recursive self-improvement. USE WHEN routing reasoning, validating knowledge graphs, preparing CICM/ANZCA examinations, or when self-improvement of reasoning/architecture/context is required. Routes queries through R0-R3 complexity pipelines, validates topology (η≥target) and governance (KROG), emits per style (Φ), and compounds learnings into knowledge K. Triggers on complexity assessment, multi-step reasoning, examination mode, or /λ invocation.
0 · bundle
i18n-glossary
Build a bilingual terminology glossary and style guide that enforces consistency across a translation project.
0
init
Imported skill __init__ from anthropic
3
connotation-cop
Police the project's vocabulary — bust vague terms, keep the CONTEXT.md glossary sharp, and lock in decisions worth remembering as ADRs. Use when the user debates naming, says "what should we call this", asks to pin down terminology, wants a decision recorded, or when another skill (hot-seat, whiteboard) surfaces a decision that clears the ADR bar. Just reading the glossary for vocabulary is NOT this skill — trigger only when the words or decisions are being changed.
0 · bundle
shenmo-skill
沈墨(悬疑剧虚构)认知与表达框架(压缩蒸馏):创伤反杀叙事、时代灰雾、钢琴意象 触发:漫长的季节 等。虚构;禁止犯罪模仿
9 · bundle
mariadb-revoke
Explains MariaDB-specific REVOKE syntax and behavior, including the five grammar forms, privilege requirements, error semantics, and role/proxy revocation nuances.
0
muapi-seedance-2
Generate cinematic videos with Seedance 2.0 using director-level prompts, camera grammar, and multi-mode generation across Chinese, Global, and VIP tiers.
3.7k · bundle