メニュー
このリポジトリの skills
SkillsMP は hamzabellouch/agent-skills から 155 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
hamzabellouch/agent-skills収集済み skill 155 件中 40 件を表示しています。
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology…
原文の言語: 英語
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF…
原文の言語: 英語
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a…
原文の言語: 英語
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review…
原文の言語: 英語
Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction, MeSH search strategy, citation file management…
原文の言語: 英語
Use when a user needs lawful academic full text, CNKI institutional access, English OA retrieval, publisher API access, institutional browser fallback, or supporting information downloads.
原文の言語: 英語
标准化实验日志记录——接收原始材料（图/语音/文字），产出带 YAML frontmatter 的标准日志到 Obsidian vault。需配合飞书 CLI 或手动输入使用。
原文の言語: 中国語
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style work, and…
原文の言語: 英語
Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival. Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any…
原文の言語: 英語
Convert scientific papers, theses, technical reports, source code, figures, inventor notes, or research manuscripts into evidence-grounded Chinese invention patent drafts and attorney-facing technical disclosure materials. Use when an AI agent must mine…
原文の言語: 英語
Build a complete Nature-style Chinese PPTX presentation from a scientific paper, preprint, PDF, article text, figure legends, or reading notes. Use for journal club, group meeting, thesis seminar, paper sharing, conference or defense decks, and Chinese…
原文の言語: 英語
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…
原文の言語: 英語
Proposal-first scientific writing pipeline. Three modes (compose/revise/hybrid) with four-layer QA pipeline. Enforces evidence-before-prose, argument-before-sections, and contracts-before-paragraphs.
原文の言語: 中国語
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…
原文の言語: 英語
对学术文献逐条执行多源交叉验证，逐字段对比作者、标题、年份、卷期、页码， 标记卷年/DOI年冲突、作者顺序异常、页码偏差等问题，输出结构化验证报告。 可批量处理整篇论文/开题报告的参考文献列表，也可单条校验，支持与 Zotero 同步修正。
原文の言語: 中国語
Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer response letters, rebuttal letters, revision cover letters, LaTeX cover/response templates, and red-marked revised-manuscript excerpts. Use for reviewer comments,…
原文の言語: 英語
Simulate a Nature-style reviewer assessment from the referee perspective rather than an author rebuttal. Use when the user wants a pre-submission review, reviewer report, peer-review style critique, novelty/significance/technical soundness assessment,…
原文の言語: 英語
Internal shared-reference support package for installed nature-writing, nature-polishing, nature-reader, and nature-paper2ppt skills. Do not invoke it as a standalone user workflow. Load only the specific core or journal-format file requested by another…
原文の言語: 英語
Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis sections, p values, confidence intervals, sample size, biological versus technical replicates,…
原文の言語: 英語
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, related-work, method,…
原文の言語: 英語
Complete architecture patterns, state management with Svelte 5 Runes ($state, $derived, $effect, $props), SvelteKit SSR/streaming pipelines, form actions, and production anti-patterns.
原文の言語: 英語
Production-grade architecture patterns, state management, SSR strategies, performance optimization, and anti-patterns for Vue 3 (Composition API) and Nuxt 3 applications.
原文の言語: 英語
Production WebGL & Three.js 3D experience architecture, custom GLSL shaders, memory management & GPU disposal pipelines, instanced rendering, performance optimization, and anti-patterns.
原文の言語: 英語
High-performance local LLM fine-tuning, DPO/ORPO preference alignment, and QLoRA/LoRA optimization using Unsloth and Axolotl. Covers VRAM footprint minimization, FlashAttention-2, gradient checkpointing, FSDP/DeepSpeed multi-GPU scaling, dataset formatting,…
原文の言語: 英語
Architect, deploy, and optimize production-grade vector search engines using Qdrant, Milvus, and Pinecone. Covers index selection (HNSW, IVF, DiskANN), vector quantization (Scalar, Product, Binary), distance metrics, payload filtering, multi-tenancy, and…
原文の言語: 英語
Configures best-practice alerting policies for Google Cloud Vertex AI / Agent Platform agents on Agent Runtime. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, and quality metrics (response quality, tool use,…
原文の言語: 英語
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing…
原文の言語: 英語
Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when you need to generate code for calling Gemini or OpenMaaS models,…
原文の言語: 英語
Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving…
原文の言語: 英語
Guides developers through uploading audience members to Google products using the Data Manager API /v1/audienceMembers/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload audience members for Customer Match,…
原文の言語: 英語
Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced…
原文の言語: 英語
Use this skill whenever you are working on a project that uses Firebase products or services, especially for mobile or web apps.
原文の言語: 英語
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating…
原文の言語: 英語
Generates a LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer…
原文の言語: 英語
Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports,…
原文の言語: 英語
Use this skill for Interactive Media Ads (IMA) SDK client-side ad insertion when you are requesting video ads client-side into websites, apps, TVs or other platforms with VAST or VMAP. Do not use for Dynamic Ad Insertion (DAI), SSAI, or SGAI (use the…
原文の言語: 英語
Enterprise Apache Airflow 2.x DAG authoring, TaskFlow API, deferrable operators, idempotent execution models, and production workflow orchestration.
原文の言語: 英語
Production-grade dbt (data build tool) engineering, modular data modeling, incremental materializations, testing strategies, and macro development.
原文の言語: 英語
High-performance in-process analytics using DuckDB and Polars, zero-copy Apache Arrow integration, lazy evaluation, SIMD vectorized processing, and out-of-core data pipelines.
原文の言語: 英語
Master production PySpark and Apache Spark analytics, distributed data pipelines, Delta Lake/Iceberg optimization, memory management, and skew resolution.
原文の言語: 英語