ask-gemini
This skill should be used when the user asks to "ask Gemini", "get Gemini's opinion", "have Gemini review", "improve writing style", "make less AI-sounding", "get feedback on article", "review this draft", or n...
发现 content media llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
This skill should be used when the user asks to "ask Gemini", "get Gemini's opinion", "have Gemini review", "improve writing style", "make less AI-sounding", "get feedback on article", "review this draft", or n...
Use when interacting with Google Chat - send messages, list messages, or get message details. Requires agentio CLI with a configured Google Chat profile (webhook or OAuth).
Algorithm/model development and fine-tuning skill. Use for tasks like dataset design/cleaning, supervised fine-tuning (SFT), preference optimization (DPO/RLHF concepts), LoRA/QLoRA, training configs, evaluation...
Product management data analysis skill for defining metrics, building funnels/cohorts, diagnosing growth/retention, designing experiments, and translating insights into product actions. Use for tasks like metri...
Product strategy skill for defining positioning, ICP/JTBD, competitive analysis, moat hypotheses, pricing/packaging, GTM planning, and roadmap prioritization. Use for tasks like turning ideas into a strategy me...
HRBP skill for organizational planning, hiring support, performance and talent reviews, employee relations, and people-process playbooks. Use for tasks like role design, competency models, interview rubrics, on...
zhimeng's Agent 智能助手操作技能。 触发场景:用户提到"问知识库"、"发日报"、"检查Agent"、"重建索引"、"知识问答"等。
Use when 需要讨论方案权衡/架构选型/需求澄清,且目标/约束/成功标准不清或存在多解权衡时。
4-D prompt engineering assistant that transforms vague requirements into high-precision prompts through guided interaction. Trigger when users need to: (1) craft high-quality system prompts, (2) optimize existi...
Use this skill to audit, review, validate, or check the quality of AI assistant configurations including prompt text, prompt files, skills (SKILL.md), plugins, MCP servers, agents, hooks, memory files (AGENTS.m...
Deep pre-execution analysis framework using four philosophers (Socrates, Aristotle, Feynman, Drucker) for structured critical thinking before implementing plans. Use when users need to thoroughly understand a t...
論文PDFをページ単位で画像化・テキスト抽出・和訳し、メモに出力するスキル。さらに章ごとの要約と新規性分析も自動生成。ユーザーが「論文を翻訳して」「PDFをページごとに翻訳」「この論文を日本語にして」などと指示した時...
論文のプレーンテキストを読み込み、ユーザーの質問に研究のプロとして分かりやすく回答するスキル。ユーザーが「この論文について質問」「論文の内容を教えて」「この研究の目的は?」などと指示した時に使用。Claude自身が直...
Creates plugins (skills and MCPs) by guiding through the authoring process. Use when users want to create or update (1) skills that extend Claude's capabilities with specialized knowledge and workflows, or (2)...
Protocol for using AskUserQuestion tool effectively. Use for confidence gates, destructive actions, multi-step tasks, and UI/UX decisions.
Meta-skill for building multi-step AskUserQuestion wizard flows. Use when designing onboarding, configuration, or any multi-question user interaction.
Prevents skill atrophy by periodically halting for user code writing and review. Use when senior engineers want to stay hands-on while leveraging agentic AI.
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'...
Nano Banana(Gemini のネイティブ画像生成)向けに、用途(ロゴ/EC物撮り/サムネ/ステッカー/文字入り/ミニマル/差分編集/参照画像固定など)をヒアリングし、 "タグ盛り"ではなく撮影・制作ブリーフ形式で一貫性の高い高品質...
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'...
ユーザーの入力(やりたい作業・標準化したい手順・テンプレ要求)から、Claude Code Skills(Agent Skills)のフォルダ構成とSKILL.md一式を生成する。 「〜のSkillを作って」「Claude Code skillsを書いて」「この作業をスキ...
指南:创建高质量的 MCP(模型上下文协议)服务器,使 LLM 能够通过精心设计的工具与外部服务交互。在构建 MCP 服务器以集成外部 API 或服务时使用,无论是 Python(FastMCP)还是 Node/TypeScript(MCP SDK)。
创建有效技能的指南。当用户想要创建新技能(或更新现有技能)来扩展Claude在专门知识、工作流程或工具集成方面的能力时,应该使用此技能。
掌握高级提示工程技术,以最大化生产环境中LLM的性能、可靠性和可控性。在优化提示、改进LLM输出或设计生产提示模板时使用。
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。