'collect' 검색 결과

Use this skill to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon, and shaping its exporters (Prometheus pull, Fluent Bit push, NetFlow, file / IPC) so the metrics actually leave the box. Trigger even when the user never says CollectX or clx — implicit phrasings: {collector emits nothing downstream}, {add a provider to the clx collector}, {turn on the Prometheus endpoint}, {ship counters to Fluent Bit from the DPU}, {daemon starts but no schema rows appear}. This skill owns the CollectX collection mechanism plus the operator's own doca-telemetry / doca-telemetry-exporter usage; it ROUTES the productized DOCA Telemetry Service (DTS) to public docs (AGENTS.md Non-goal #7), the reader API to doca-telemetry, and the publisher API to doca-telemetry-exporter. Refuse to invent clx symbols, provider names, schema fields, flags, or config paths — describe the class and route to the live source.

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Build and maintain a library collection through acquisitions, weeding (deaccessioning), collection assessment, reader advisory, and interlibrary loan coordination. Covers selection criteria, collection development policies, the CREW/MUSTIE method for weeding, usage analysis, and responsive collection management. Use when building a new collection with a defined scope and budget, assessing an existing collection for gaps or outdated materials, when shelves are overcrowded and systematic weeding is needed, or when establishing a formal collection development policy.

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Expert collection-loop systems for collectible IDs, scavenger hunts, completion archives, nearest-item compass UI, hidden spawners, and persistent find-all-X progress. Use when implementing collectibles, scavenger hunts, completion% archives, or compass-guided item hunts. Keywords: collectible_id, scavenger_hunt, collection_manager, collection_compass, completion_archive, hidden_item_spawner, find_all, collectible_item.

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Expert collection-loop systems for collectible IDs, scavenger hunts, completion archives, nearest-item compass UI, hidden spawners, and persistent find-all-X progress. Use when implementing collectibles, scavenger hunts, completion% archives, or compass-guided item hunts. Keywords: collectible_id, scavenger_hunt, collection_manager, collection_compass, completion_archive, hidden_item_spawner, find_all, collectible_item.

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Retrieve public collection and dataset metadata from CELLxGENE Discover and turn it into concise summaries. Use targeted collection lookups to review single-cell research data, with raw JSON available when machine-readable output is needed.

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• Review a specific single-cell data collection
• Explore available public collections
• Get collection metadata as JSON

Search X posts by keyword, date range, author, engagement thresholds, and media type. Collect structured results containing post text, author profiles, reaction counts, and media, with support for latest or top results and collection across multiple pages.

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• Collect brand and competitor mentions
• Track posts using a campaign hashtag
• Gather posts from a specific date range

Provides GDPR Article 13 information at the point of direct data collection, covering all required elements under Art. 13(1)(a)-(f) and Art. 13(2)(a)-(g), layered notice design, and timing requirements. Activate for Art. 13, direct collection notice, privacy notice at collection, data collection information queries.

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Organize, track, and value a trading card game collection. Covers inventory methods, storage best practices, grade-based valuation, want-list management, and collection analytics for Pokemon, MTG, Flesh and Blood, and Kayou cards. Use when starting a new collection and setting up inventory tracking, cataloging an existing collection that has grown beyond casual knowledge, valuing a collection for insurance or sale, or deciding which cards to submit for professional grading based on value potential.

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Create, run, and maintain API test collections using Bruno (OpenCollection YAML format and legacy Bru format). Use when the user wants to: (1) create a Bruno API test collection from scratch or from OpenAPI/Swagger specs, (2) write API request files with tests and assertions, (3) run API tests using bru CLI, (4) generate test reports (HTML, JUnit, JSON), (5) set up CI/CD pipelines (GitHub Actions) for automated API testing, (6) debug or fix failing Bruno API tests, (7) add environment configurations for API testing, (8) chain API requests with data extraction, or (9) work with any .yml/.bru Bruno collection files. Triggers on mentions of 'Bruno', 'bru CLI', 'API testing collection', 'OpenCollection', or requests to automate API testing with file-based collections.

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Configure Prometheus to collect and store operational metrics from infrastructure and applications. Covers collection schedules, alert rules, automatic discovery of monitored services, and troubleshooting checks to help establish and maintain monitoring.

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• Setting up infrastructure and application monitoring
• Configuring metric collection intervals and retention
• Designing alert rules

Collect product listings from an Etsy shop URL, page by page. Return titles, images, current and original prices, ratings, review counts, and shipping badges to support shop comparisons, catalog collection, and repeated checks for changes.

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• Collect an Etsy shop's product catalog
• Compare competing shops' products and prices
• Check a specific shop's prices over time

Trigger on-chain data collection (a "Commit") in Tres Finance for wallets that have already been onboarded. Use this skill whenever the user wants to collect data, pull balances, sync wallets, refresh on-chain data, run a commit, trigger a commit, or "collect" anything in Tres. This is the second step of the Tres onboarding flow — it sits between wallet upload (tres-wallets-upload) and balance validation (tres-asset-balance-validation). Always trigger this skill for any request that mentions "commit", "collect", "data collection", "pull data", "fetch on-chain data", "sync wallets", "refresh balances", or anytime the user just finished uploading wallets and is ready to bring in their on-chain data.

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Collect and preserve insect specimens following museum-grade standards including legal compliance, collection methods, humane dispatch, dry pinning, wet preservation, labeling, storage, and curation. Covers permit requirements, protected species regulations, sweep nets, beating trays, pitfall traps, light traps, Malaise traps, aspirators, ethyl acetate killing jars, freezing, pin placement by order, wing spreading, ethanol preservation for soft-bodied specimens, specimen labeling with locality and date, storage with pest management, and database entry. Use when building a reference collection for taxonomic study, preserving voucher specimens for ecological research, preparing specimens for identification by specialists, or curating an existing collection.

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Collect this machine's local Claude Code conversation data with the asz collector. Resolves the local Claude data directory (honouring CLAUDE_CONFIG_DIR and XDG_CONFIG_HOME), builds the binary, lists what is discoverable, and lands everything into the storage root. Use when asked to collect, backfill, re-collect, or inspect local Claude Code sessions, or to check what the collector can see.

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공개 사이트와 API에서 채용 공고, 가격, 뉴스 등을 정기 수집하는 시스템을 만듭니다. AI 요약·분류·평가, 저장소 연동, 사용자 선택을 다음 평가에 반영하는 설계를 다룹니다.

• 채용 공고 수집 및 조건 일치도 평가
• 상품 가격 정기 추적
• 뉴스 수집 및 주제별 분류

Collect indicators of compromise, technical clues such as suspicious domains and file hashes, from incident evidence. Add context and confidence scores, then prepare them for detection, blocking, and structured sharing with partners.

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• Extracting threat indicators from incident evidence
• Adding threat context and confidence scores to indicators
• Preparing indicator lists for detection and blocking

Set up MISP to collect, store, and correlate threat intelligence from multiple feeds. Use PyMISP to automate searches and imports of indicators of compromise, such as suspicious IP addresses and file hashes, and export data for security monitoring tools.

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• Collecting threat indicators from multiple feeds
• Automating MISP imports and searches
• Exporting indicators for security monitoring tools

Learn Apache Beam's core concepts through Java and Python examples. Understand distributed datasets, processing steps, pipeline execution, and time windows, with guidance on aggregation, late data, error handling, and sharing processing steps across languages.

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• Learn how Pipeline, PCollection, and PTransform fit together
• Understand grouping, aggregation, merging, and splitting
• Study time windows, output timing, and late data

Create Dropbox file requests to collect uploads from other people, or inspect existing requests. Confirm the title, destination, and any deadline before creation, then report the upload link, storage location, and request status.

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• Collect vendor invoices through an upload link
• Create a portfolio submission link for applicants
• List existing file requests

Submit text to satisfy an existing NLA escrow, an arrangement that holds tokens until requirements are met. Helps check the demand, prepare a response, monitor AI arbitration, and collect tokens after approval.

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• Checking an escrow's requirements
• Preparing and submitting fulfillment text
• Checking AI arbitration results

Collect posts from public Facebook Pages or personal profile timelines as structured data. Capture text, author details, reactions, comments and share counts, plus media information, with date options and pagination for larger collections.

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• Comparing reactions across Facebook posts
• Collecting posts around a specified date range
• Gathering post text, media links and author details

Search Xiaohongshu posts by keyword and collect titles, authors, likes, saves, and comments in a paginated list. Filter by video or image-text posts and sort results to explore relevant content.

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• Finding posts about a specific topic
• Comparing likes, saves, and comments
• Discovering creators through keyword searches

Collect posts from public Facebook Pages with their text, authors, links, hashtags, and engagement counts. Gather reaction breakdowns and multiple batches of posts to review page activity, compare responses, or collect content around a chosen period.

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• Collect posts from a public Facebook Page
• Compare reaction types across posts
• Gather posts around a campaign period

Search Xiaohongshu posts by keyword and filters, then collect body text, tags, image and video URLs, publication times, and engagement counts. Check both titles and body text to find relevant mentions for topic or brand research.

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• Find posts mentioning a brand
• Collect recent video posts
• Compare likes and saves across posts