Results for “bilingual-abstract”

Flamingo: A Visual Language Model for Few-Shot Learning

Extracts and formalizes domain terminology from a conversation into a consistent glossary saved to a local file.

Create high-quality bilingual detailed summaries for StaticFlow articles, focusing on evidence, reader value, and clear structure while allowing flexible writing style.

Orchestrates the end-to-end process of turning a resource into learning material by delegating to resource-gatherer, syntax-interpreter, and study-builder.

北岛（诗人）认知与表达框架（压缩蒸馏）：冷意象、否定句诗学、流亡与记忆 触发：回答、朦胧诗 等。不伪造诗句

Use when building slides, a poster, or a lightning talk from a manuscript, when a presentation must exist in Turkish and English, or when conference visuals need a traceability check so every number on a slide matches the analysis behind it.

Translates English text paragraph by paragraph into Chinese and provides deep linguistic analysis covering vocabulary, phrases, grammar, voice, syntax, and sentence structure.

Extracts a language-agnostic ghost package (spec, tests, install and verify docs) from an existing repository, preserving behavior via tests.yaml and evidence bundles.

Guide for writing the abstract of an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an abstract for an economics paper - whether empirical micro, development economics, applied economics, or related fields. Also trigger when the user mentions "abstract," "paper summary," or asks how to compress their findings into a short description. This skill synthesizes best practices from David Evans (CGDev), Marc Bellemare, and patterns observed in top economics journals (AER, QJE, AEJ: Applied, etc.).

Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".

Turn an English description (or mermaid source) into a diagram triplet: the source, an editable .excalidraw file you can open (gstack)

Giskard RAGET (RAG Evaluation Toolkit): automatic testset generation (simple / complex / distracting / conversational), component-level scoring (retriever / generator / rewriter), hallucination and bias tests, CI integration. Compared to RAGAS and DeepEval. USE WHEN: user mentions "Giskard", "RAGET", "Giskard RAG toolkit", "automatic testset generation", "component-level RAG scoring", "hallucination test Giskard" DO NOT USE FOR: general RAGAS usage - use `rag-evaluation`; Stanford ARES - use `ares-framework`; CI/CD wiring - use `continuous-evaluation`

Bilingual/multilingual i18n methodology using ACF _suffix pattern with transparent translation helpers

Use to write the PNAS abstract — a single self-contained paragraph of ~250 words, quantified and accessible to a broad scientific audience. Distinguishes the abstract (what/how/found, for scientists) from the Significance Statement (why-it-matters, for everyone). Late-stage polish.

Translates a Chinese article into English Markdown, generates bilingual detailed summaries, and writes the results back to LanceDB while preserving structure.

Interdisciplinary synthesis and cross-domain transfer specialist. Use when the user asks to talk to Astra, requests the synthesizer, or needs cross-field insight connections and multi-modal research directions.

12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.

贾宝玉（古典虚构）认知与表达框架（压缩蒸馏）：情不情、反仕途经济、女儿崇拜叙事… 触发：红楼梦 等。虚构；非性别刻板侮辱

Distill learnings from a completed repo analysis into reusable knowledge base entries in ~/.copilot/context/. Use after finishing a repo-analysis to make the learnings persistent and searchable.

Logic (abao-logic)

Generate image captions, answer visual questions, and perform image-text retrieval using BLIP-2's Q-Former architecture with frozen vision encoders and LLMs.

Translate visa application documents (images) to English and create a bilingual PDF with original and translation

CogVLM: Visual Expert for Pretrained Language Models

Generates structured abstracts for research papers with background, methods, results, and conclusions

Extracts structured article details and full content from Zhihu search results via the BrowserAct API, with keyword and date filtering.

小丸子（子供向）认知与表达框架（压缩蒸馏）：懒散可爱、家族群像、童年微小确幸 触发：樱桃小丸子 等。全年龄

李白（古典诗人）认知与表达框架（压缩蒸馏）：豪放与自我投射、酒与月意象、功名张力… 触发：诗仙、将进酒 等。非历史定论；不伪造诗句

野比大雄（子供向）认知与表达框架（压缩蒸馏）：废柴主角成长线、善良底、道具依赖喜剧 触发：哆啦A梦 等。勿逐字抄录版权对白

Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.

熊二（子供向）认知与表达框架（压缩蒸馏）：贪吃憨厚、跟班喜剧、意外破局… 触发：熊出没 等。安全喜剧

Build a bilingual terminology glossary and style guide that enforces consistency across a translation project.

为 MODULAR-RAG-MCP-SERVER 添加 Agentic RAG 层并跑出真实评测数据。 作者背景：应届生 + 无实习，目标 Agent 方向求职。 使用场景： 1. 用户说"加 Agent 层" / "实现 ReAct Agent" / "Agentic RAG" / "多步推理" 2. 用户说"跑评测" / "出评测数字" / "Ragas 实测" / "对比指标" 3. 用户说"继续扩建项目" / "Stage J" / "Stage K" 4. 用户在新对话中提到这个 RAG 项目需要扩展 该 skill 记录了所有背景知识、架构决策和实现细节，使 Codex 无需重新探索即可直接执行。

Bidirectional conversion between Elixir and Scala. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Elixir↔Scala specific patterns. Use when migrating Elixir/Phoenix applications to Scala, translating BEAM OTP patterns to Akka actors, or refactoring dynamic concurrency to statically-typed JVM patterns. Extends meta-convert-dev with Elixir-to-Scala specific patterns.

Two-layer site audit (Python mechanical + Opus conceptual) — code quality and structural health. For deep SEO/performance use `analytics`; for deep accessibility use `accessibility-review`.