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概要と使いどころ
Guide the official Elasticsearch Python client for cluster connections, generated APIs, async code, bulk ingestion, query DSL, ES|QL, optional integrations, and runtime troubleshooting.
日本語の概要は準備中です。原文の説明を表示しています。
Operate Tongyi DeepResearch and its WebAgent family: ReAct inference setup, rollout validation, benchmark evaluation, and variant routing.
日本語の概要は準備中です。原文の説明を表示しています。
Route DeepSearcher workflows for provider setup, data ingestion, RAG querying, CLI and service operation, and evaluation.
日本語の概要は準備中です。原文の説明を表示しています。
Routes tasks for discovering NLP datasets in the CLUEDatasetSearch catalogue, including Chinese NLP classification, QA, matching, NER, generation, translation, corpus, and reading-comprehension resources.
日本語の概要は準備中です。原文の説明を表示しています。
Use ColBERT/colbert-ai for late-interaction retrieval: prepare data, inspect configs, train/fine-tune, index collections, search rankings, update indexes, serve search, evaluate MS MARCO/LoTTE outputs, or reason about Baleen multi-hop retrieval.
日本語の概要は準備中です。原文の説明を表示しています。
Routes automl_gs tabular AutoML searches and the generated runtime artifacts that those searches produce.
日本語の概要は準備中です。原文の説明を表示しています。
Route Airweave tasks to the most specific sub-skill: local-development, backend-api, source-connectors, frontend-dashboard, connect-widget, mcp-search, or monke-e2e.
日本語の概要は準備中です。原文の説明を表示しています。
Fast PARALLEL wiki lookup engine over wiki/techniques + wiki/payloads + wiki/tools + wiki/cheatsheets for a surface/service/vuln-class. Two modes - quick (one qmd search, cheap, fire constantly) and deep (4 parallel subagents, one per area, merged ready-to-use arsenal card, cached). This is the fast path arsenal that `arsenal` delegates to; the hunt-* skills each inline their own qmd_query and can hand off here for a parallel lookup. Use for "what do I use against <surface>", "arsenal for <X>", "deep/full arsenal", "tool + payload + technique + cheatsheet for <X>", "fast wiki lookup", "parallel wiki search", any "how do I attack/exploit <service|vuln-class>" where you want the documented tooling + payloads before hand-rolling.
日本語の概要は準備中です。原文の説明を表示しています。
Use when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend, or LLM algorithm internships from raw resume text, a materials folder, and/or a target job description. Audits evidence, maps JD fit, enforces truth boundaries, writes polished and targeted resumes, generates interviewer-style grilling questions, answer cards, evidence-upgrade plans, and optional open-source project recommendations without fabricating experience.
日本語の概要は準備中です。原文の説明を表示しています。
Evidence-based investigation of issues, bugs, API calls, integrations, and other aspects of software development that need a deep dive to find the root cause and solutions. Use when you need to debug, troubleshoot, diagnose, or figure out why something is broken. Does not review code for quality or style — use code-review for auditing changes or post-code-review-to-pr for posting review feedback to GitHub. Does not assess architectural health or structural risk — use architectural-analysis for architectural concerns. Does not research open-ended options, prior art, or how something works when nothing is broken — use research for that. Does not plan the structural change a root cause calls for — use plan-a-change. Does not map bounded contexts or domain boundaries — use ddd-analysis. Does not capture feedback on Han's own skills — use han-feedback for that.
日本語の概要は準備中です。原文の説明を表示しています。
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about AI coding agents, agent runtimes, or similar internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
日本語の概要は準備中です。原文の説明を表示しています。
Research why neural architectures and training methods work through forward computation, geometry, gradients, optimization dynamics, historical experiments, and competing explanations. Use for deep mechanism questions about neural networks, AI models, layers, representations, or training; explain the meaning in plain language with evidence and explicit limits.
日本語の概要は準備中です。原文の説明を表示しています。
Spectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.
日本語の概要は準備中です。原文の説明を表示しています。
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
日本語の概要は準備中です。原文の説明を表示しています。
Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP
日本語の概要は準備中です。原文の説明を表示しています。
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
日本語の概要は準備中です。原文の説明を表示しています。
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with Zhihu (zhihu.com) — browse hot questions, read answers, search content, view topics, check user profiles. Use this skill whenever the user mentions Zhihu, 知乎, zhihu.com, wants to browse Chinese Q&A content, read Zhihu answers, search Zhihu questions, check Zhihu hot list, or look up Zhihu users/topics. Also trigger when the user pastes a Zhihu URL (e.g. zhihu.com/question/12345), mentions a Zhihu topic, or asks about Chinese knowledge sharing platforms.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with Hacker News (news.ycombinator.com) — browse top, new, and best stories, read item details and comment threads, look up user profiles, and search posts via Algolia. Use this skill whenever the user mentions Hacker News, HN, YCombinator news, ycombinator.com, news.ycombinator.com, wants to browse tech news, read HN discussions, search HN posts, or look up HN users. Also trigger when the user pastes an HN URL (e.g. news.ycombinator.com/item?id=12345). Keywords: Hacker News, HN, YC, ycombinator, tech news, Show HN, Ask HN, HN front page.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with V2EX (v2ex.com) — browse hot and latest topics, read topic details and replies, search posts, create topics, reply to discussions, thank posts, favorite topics/nodes, follow members, daily check-in. Use this skill whenever the user mentions V2EX, v2ex.com, wants to browse tech forum topics, read V2EX discussions, search V2EX posts, check V2EX notifications, create or reply to V2EX topics, or look up V2EX users/nodes. Also trigger when the user pastes a V2EX URL (e.g. v2ex.com/t/12345), mentions a V2EX node name, or asks about Chinese tech community discussions. Keywords: V2EX, v2ex, 论坛, 技术社区, 节点, 主题, 回复.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with Bilibili (B站) — browse trending videos, view video details, read comments, search videos and users, view user profiles, like, coin, and favorite videos. Use this skill whenever the user mentions Bilibili, B站, wants to browse Bilibili content, search Bilibili videos, read Bilibili comments, look up Bilibili users, or interact with Bilibili content. Also trigger when the user pastes a Bilibili URL (e.g. bilibili.com/video/BV...) or mentions a BV ID.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with LinkedIn — view your profile, browse other profiles, read the feed, search jobs/posts/people, get job details, create posts, like/unlike posts, comment, send connection requests, and follow/unfollow users. Use this skill whenever the user mentions LinkedIn, wants to search for jobs or people, read their LinkedIn feed, view a profile, get job details, create a post, like or comment on content, send a connection request, or follow someone. Also trigger when the user pastes a LinkedIn URL (e.g. linkedin.com/in/..., linkedin.com/jobs/view/...) or mentions LinkedIn networking.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with Reddit — browse subreddits, read posts and comments, search content, view user profiles, post comments, vote, save posts, subscribe to subreddits. Use this skill whenever the user mentions Reddit, r/, subreddit, wants to browse Reddit posts, read Reddit discussions, search Reddit, look up Reddit users, or interact with Reddit content. Also trigger when the user pastes a Reddit URL (e.g. reddit.com/r/programming/...) or mentions a subreddit name.
日本語の概要は準備中です。原文の説明を表示しています。
Interact with Slack — read channels, search messages, check unreads, send messages, manage reactions, and look up users. Use this skill whenever the user mentions Slack, wants to read Slack messages, check unread channels, search Slack conversations, send a Slack message, add reactions, or look up Slack users. Also trigger when the user pastes a Slack message URL, mentions a Slack channel (#channel), or asks about Slack notifications.
日本語の概要は準備中です。原文の説明を表示しています。