'topics' 검색 결과

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.

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Decide what content to create using customer questions, keyword data, and competitor coverage. The skill produces core themes, related topic maps, ranked content ideas, and calendar and distribution guidance aligned with business goals and available resources.

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• Choose topics and priorities for a business blog
• Turn customer conversations into content ideas
• Group keyword data into related topics

Find recurring questions in resolved Plain support tickets that existing knowledge articles do not cover. Draft articles from actual resolutions, avoid previously drafted topics, and open a pull request for human review.

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• Find undocumented topics among recurring support questions
• Draft knowledge articles from resolved support tickets
• Run weekly checks without duplicating pending article drafts

Inspect a running CARLA simulation and identify vehicles or pedestrians by type, role, color, or proximity. Retrieve their IDs, scene snapshots, static object bounds, ground positions, and expected ROS 2 topics with reasons for missing publications.

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• Find the red Prius and retrieve its actor ID
• Identify the pedestrian nearest the ego vehicle
• Inspect scene state and ground height

Web search, online retrieval, real-time information query, search engine search, Reddit and other community platform discussions, external site posts and trending topics. Trigger when users need to search for the latest information online, look up recent news or trends, query real-time data, research topics via search engines, browse Reddit or community discussions, discover external site posts and trending topics, obtain any online content, web search, online lookup, real-time information, news search, Reddit, trending topics, search engine. Even if the user does not explicitly say "search", trigger this skill whenever their intent involves obtaining real-time web information or verifying current facts.

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Query and analyze Google Trends real-time hot topics and trending searches for a specified time range and country/region. Triggered by: Google Trends, hot topics, real-time trending, popular trends, current hot searches, recent trending, viral topics, trending searches, trend discovery, market trends, what's popular, trending now, breakout topics.

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Plan a user interview topic in PostHog — pick who to target (cohort, emails, or PostHog distinct IDs), draft what to ask about, and prepare the voice-agent context plus a question list. Use when the user asks to "talk to users", "check how users feel about X", "interview some customers", "set up a user interview", "run a user-research call", "find users to ask about Y", or otherwise wants qualitative feedback through a conversation. Walks the user through targeting (cohorts-list, persons-list, or accepting emails / distinct IDs directly), captures the topic, and prompts for agent context and questions before calling user-interview-topics-create. Cohort targeting is resolved to explicit emails/distinct_ids at create time — topics snapshot their audience and do not re-evaluate cohort membership later. Do NOT trigger when the user is uploading a recorded interview audio file (that's the separate UserInterview/transcript flow) or only browsing existing topics with user-interview-topics-list.

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회사 목표와 우선순위를 바탕으로 주간 편집 일정을 만들고 유지합니다. 발행할 콘텐츠 주제로 구체화하고 담당자, 진행 상태, 확인 메모를 함께 정리합니다.

• 회사 목표를 주간 콘텐츠 주제로 구체화
• 콘텐츠 담당자와 진행 상태 정리
• 발행 계획의 확인 메모 정리

여러 소셜 미디어의 팔로워 수, 반응 지표, 인기 게시물, 화제와 댓글을 살펴보는 분석 화면을 만듭니다. 일관된 예시 데이터를 넣은 단일 HTML 시제품입니다.

• 창작자용 분석 화면 시제품 제작
• 여러 소셜 미디어의 지표 표시 설계
• 팔로워 추이와 인기 게시물 표시

Automate browser tasks such as researching topics, extracting page text and links, filling forms, and checking web pages. The skill guides agents through identifying page controls, interacting with them, and saving screenshots or PDFs.

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• Researching topics and reading web articles
• Extracting product names and links from pages
• Filling and submitting web forms

Plan what content to create using business goals, customer questions, and competitor gaps. Organize related topics, prioritize ideas for search or sharing, and turn them into content calendars or briefs with clear audiences and purposes.

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• Planning core themes for a company blog
• Prioritizing topics from customer questions
• Grouping related articles into topic clusters

Prepare and launch Autoware with CARLA on UE 5.8 through its native ROS 2 interface. Check communication topics and sensors, generate required maps, and configure either the classical stack or camera-only VAD model.

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• Check whether a CARLA build supports Autoware
• Inspect topics exchanged between CARLA and Autoware
• Generate lanelet2 and point-cloud maps for a town

Manually drive a vehicle in CARLA, set a target speed, operate lights and doors, and adjust mass or drag. You can also inspect the command topics used to control the main vehicle through ROS 2.

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• Manually test acceleration, steering, and braking
• Check vehicle lights and door operation
• Compare handling after changing mass or drag

Inspect data published by a ROS 2-enabled CARLA server using Docker, without installing ROS 2 locally. Check topic contents and rates, run a sensor-equipped vehicle demo, and view lidar data and supported map markers in RViz2.

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• Checking whether CARLA is publishing ROS 2 data
• Inspecting sensor data contents and publishing rates
• Viewing lidar data and road markers in RViz2

Find rising topics, hashtags, and content formats in a specific niche. Get a ranked shortlist with evidence of momentum, an estimate of timing, and concrete ways for a brand to join the conversation.

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• Find emerging topics relevant to a specific audience
• Assess whether a trend still has room to grow
• Choose a timely content angle for a brand

Use Chainbase CLI to investigate blockchain records, including token holders, prices, wallet activity, and DeFi positions. Use Tops to discover trending crypto topics, inspect related posts, and track recent Twitter/X mentions of projects or keywords.

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• Check major token holders and transfer history
• Review wallet balances and DeFi positions
• Run custom SQL queries on blockchain records

Collect Reddit posts and comments through the BrowserAct API using keywords, date filters, and sorting options. Results include votes, authors, timestamps, and reply relationships, providing structured source data for competitor research and reviews of community feedback.

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• Collecting Reddit mentions of competitors
• Gathering comments about a brand’s reputation
• Researching user feedback on products and topics

Score and filter topics for X content creation using weighted criteria. Use when user wants to evaluate collected materials, filter topics by score, or mentions "filter topics", "score materials", "x-filter", "选题筛选". Applies 10-point scoring system with customizable weights.

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Advises on setting up and validating topic models for survey and experimental text. Covers the discovery-versus-measurement question, choosing STM, LDA, or BERTopic, preprocessing consequences, prevalence and content formulas, topic-count selection across coherence, exclusivity and FREX, held-out likelihood, and residuals, validation of topics against human judgment, robustness, and DA-RT-compliant reporting. Use when the user has open-ended responses or another corpus and asks what topics are present, how many topics to use, about STM, searchK, coherence, or FREX, or wants topic prevalence compared across treatment arms or countries. Fixed-codebook coding goes to text-classification.

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Determine the conceptual proximity of a topic -- its parent topic, its most relevant sibling topics, and its most relevant child topics -- optionally grounded in Internet/Web facts and optionally navigable in an interactive loop. Use when the user wants to explore the conceptual neighborhood of a topic, or mentions "proximity" or "related topics".

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Strategic keyword research powered by web search and brand context. Use this skill whenever the user mentions keywords, keyword research, SEO topics, content topics, 'what should I write about', content strategy, blog ideas, search traffic, or content planning. Also trigger when the user wants to plan what content to create, when existing content isn't attracting search traffic, when any skill needs keyword-plan.md but it doesn't exist, or when the user asks about SEO in the context of content creation. Even casual mentions like 'I need blog post ideas' or 'what topics should I cover' warrant this skill. 8-phase process from seed to content brief.

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"Implement LDA topic modeling to discover latent topics in document collections. Use this skill when the user needs to extract topics from a text corpus, categorize documents by theme, or explore thematic structure — even if they say 'what are the main topics', 'topic extraction', or 'document clustering by theme'.".

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Inspects and visualises a ROS-2-enabled CARLA server from Docker containers, with no local ROS 2 install — list/echo/rate-check topics (the "are the topics actually on the wire" check), run the bundled map-and-lidar demo stack (hero vehicle with camera/lidar/GNSS/IMU on autopilot), and open RViz2 with the lane-network preset. Use when the user asks to "check the ROS topics", "echo /carla/map", "is CARLA publishing to ROS", "visualise the lidar in RViz", "open rviz", or "run the ROS 2 demo".

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Study AI engineering through interactive terminal lessons with explanations, coding exercises, and quizzes. The tutor follows your recorded progress, revisits previous material, adapts to your answers, and logs results and topics that need review.

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• Resuming lessons from recorded progress
• Learning concepts through coding exercises
• Checking understanding with lesson quizzes