470건 · 관련도순
Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Remove AI tells from French prose without lowering its register — a reply, a `.po` target, a French post.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Remove AI tells from English prose — a README, a comment, a user-facing string, a review. French is `humaniseur-fr`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Copy and text skill for antislop. Use when writing or editing prose: headlines, tone, CTAs, and anti-AI-writing patterns. Load with the core.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write substantial agent-consumed guidance such as skills, AGENTS.md instructions, and documents reached by agent context pointers. Do not use for ordinary README or user-facing prose.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audit, grade, rewrite, and issue funny evidence-backed tickets for generic AI-slop patterns in prose, social posts, UI/design, and code. Use when asked to de-slop writing, humanize AI copy, grade a draft, review a landing page or generated interface, remove vague claims and repetitive rhetoric, inspect AI-written code for generic abstractions and happy-path-only logic, or ticket someone for a specific quality offense. Do not use to determine whether AI authored something.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English. Also covers LaTeX layout/typesetting (排版) fixes — loose or sparse pages, stranded section headings, figures that don't fill the page or split across pages, "Float too large", multi-panel figure arrangement, and Supplementary Information that looks empty — via references/latex-layout.md. Also trigger on general academic/scientific writing requests even without the word "Nature", including academic writing, scientific writing, SCI/paper writing, English manuscript polishing, language editing, proofreading, and Chinese phrasings such as 学术写作、科研写作、论文润色、写paper、SCI写作、英文论文润色、语言润色、润色、改写、学术英语、英文写作.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read a paper, make 中英文对照/原文对照/全文翻译解读, extract figures or tables into the right positions, preserve figure/table placement near relevant prose, or keep exact source anchors for every block. This skill must not degrade into a summary-only output unless the user explicitly asks for a summary. Also trigger on general paper-reading and translation requests even without the word "Nature", such as reading/translating an academic paper, literature reading, understanding a paper, and Chinese phrasings like 读论文、精读论文、论文翻译、文献翻译、文献阅读、学术阅读、帮我读这篇文章、翻译这篇paper.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Turn a new or changed ADR into implemented behavior, routing docs, tests, and guardrails rather than leaving it as standalone prose.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to "build a story bank", "collect our origin and customer stories", or "assemble reusable proof stories for the message"; assembles reusable narrative units — origin, founder, customer, transformation, and proof stories — each tagged to a claims-ledger ID and a message-house pillar, with every proof labeled Measured / User-provided / [needs source]. Not for authoring the message house or pillars — use message-system-architect; not for brand voice or naming rules — use brand-language-codifier; not for finished long-form prose — use content-writer; not for adjudicating whether a proof is true — use offer-claims-registry. 品牌故事库/起源客户转化/证据故事单元
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Remove AI writing patterns and enforce rigorous technical-prose conventions in Japanese. Derived from hardikpandya/stop-slop + k16shikano japanese-tech-writing. NEVER 33 + 論証と構成の規範 + 用語と register の自然さ + クイックチェック 28 + 5 軸スコアリング + 翻訳調 AI 語の検出を含む。Use when drafting, editing, or reviewing Japanese text to eliminate predictable AI tells and tighten argumentation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Strips AI fingerprints from written text by enforcing banned vocabulary, forbidden sentence structures, and authentic prose patterns. Use when writing articles, documentation, social content, emails, or any text that should read as human-authored rather than AI-generated.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Writes in ASD-STE100 simplified technical English — short sentences, plain words, active voice. Use when the user wants terse technical prose, names this skill, or asks for STE100.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generates IEEE-format LaTeX technical reports from project requirements and codebase evidence, using academic prose, pseudocode-only explanations, BibTeX references, and IEEEtran formatting.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when: reviewing or producing any external-facing prose — ADRs, proposals, GitHub comments, Telegram messages, cover letters, client drafts, or planner-mode wording. Removes AI-tell patterns and raises writing quality before output leaves the team.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use before finishing a change, or when asked to clean up, review for slop, drift, stale docs, or duplicated rules — runs the deterministic unslop lint and, for prose-level slop, delegates to the unslop-reviewer agent.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Help the user understand the current topic visually with concise diagrams, code-shape sketches, and focused HTML artifacts. Use when the user asks to show / diagram / visualize / sketch / illustrate what is going on, asks "what does this look like", "how does this flow", "show me the structure", or in Japanese 図で見せて / 図解して / 図にして / 構造を見せて / フローを見せて / 全体像を見せて / どうつながってるか見せて. Also use it proactively when an explanation is running long and a call tree, file tree, component tree, diff, Mermaid diagram, or a small HTML artifact would land faster than prose.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Rewrite AI-sounding text so it reads like the writer without changing what it says. Use when editing or reviewing prose for AI tells: not-X-but-Y contrasts, one-line closers, staged openers, forced triads, dashes everywhere, inflated claims, sales language, stock AI words, bold labels, or filler. Based on Wikipedia's "Signs of AI writing."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs PROTACs, molecular glues, and bivalent degraders with explicit handling of E3 ligase choice (VHL, CRBN, IAP, MDM2, KEAP1), linker design (length, composition, rigidity), ternary complex prediction (PRosettaC, DeepTernary, AlphaFold3 with constraints), cooperativity (alpha), DC50 / Dmax characterization, hook effect, and prediction-experiment reconciliation. Use when designing targeted protein degraders, planning linker SAR, predicting ternary complex stability, or building generative degrader workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs PROTACs, molecular glues, and bivalent degraders with explicit handling of E3 ligase choice (VHL, CRBN, IAP, MDM2, KEAP1), linker design (length, composition, rigidity), ternary complex prediction (PRosettaC, DeepTernary, AlphaFold3 with constraints), cooperativity (alpha), DC50 / Dmax characterization, hook effect, and prediction-experiment reconciliation. Use when designing targeted protein degraders, planning linker SAR, predicting ternary complex stability, or building generative degrader workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.