「collection」の検索結果

"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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OSINT and reconnaissance automation skill for passive collection, pivoting, deduplication, and graph-based analysis using subfinder, amass, dnsx, chaos, crt.sh, github-dorks, waybackurls, gau, gitleaks, trufflehog, theHarvester, h8mail, holehe, sherlock, Shodan, Censys, FOFA, and Hunter. Use for asset discovery, exposure monitoring, and authorized reconnaissance only.

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Exploit Java Insecure Deserialization vulnerabilities leading to Remote Code Execution (RCE). Identify serialized Java objects natively passed within HTTP parameters, cookies, or sockets (e.g., `rO0AB...`). Utilize `ysoserial` to meticulously craft malignant payload chains exploiting vulnerable gadget libraries like CommonsCollections inherently present in the application's classpath.

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Operate a logged-in Miaoshou ERP workflow for TikTok Shop Malaysia product discovery, product screening, profit estimation, listing preparation, and reviewed publishing. Use when the user asks to search or select products in 妙手 ERP, evaluate low-price traffic products, prepare Malaysian TikTok Shop listings, move products into the TikTok collection box, or publish approved listings. Prefer browser operation through the user's existing login; never store credentials or call undocumented private endpoints.

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VueUse composable utility collection for Vue 3 - browser, sensor, network, state, animation, and component utilities

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Astro content-first framework - islands architecture, content collections, file-based routing, SSR/SSG hybrid rendering, View Transitions, server islands, multi-framework component support

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Qdrant vector database -- collection management, point operations, payload filtering, named vectors, quantization, recommendations, snapshots

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Weaviate vector database patterns with weaviate-client v3 -- collection management, vectorizer modules, hybrid search, filtering, generative search (RAG), multi-tenancy, batch imports

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。

Chroma vector database -- collection management, automatic embedding, metadata filtering, document storage, query patterns

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Native MongoDB driver (the mongodb npm package) - MongoClient lifecycle, typed collections, CRUD result shapes, cursors, aggregation pipelines, index design, transactions

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Payload CMS v3 — TypeScript-native headless CMS with code-first collections, hooks, access control, Local/REST/GraphQL APIs, admin panel, and database adapter pattern

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Top-level orchestrator for the Gaia Skill Tree evidence verification pipeline. Run this when you want to do a full evidence pass — collecting raw sources, verifying live GitHub star counts, running Phase 2B benchmark-source verification, adversarially auditing for quality/formatting issues, and checking that every URL is reachable — all in one coordinated sequence. Trigger phrases: "run the evidence pipeline", "full evidence pass", "verify evidence", "evidence verification pipeline", "run ev-pipeline", "check all evidence", "audit the data lake", "evidence quality sweep", "refresh evidence", "validate evidence sources". Also aliased as /evidence-verification-pipeline. Use the individual sub-skills (ev-collection, ev-star-verification, ev-adversarial-audit, ev-link-validation) only when you need to re-run one phase in isolation; for end-to-end work, always start here.

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Phase 2 of the evidence verification pipeline. Validates GitHub star counts in registry skill files against live GitHub API data and flags stale or inflated metrics without repartitioning evidence by rank. Use this after /ev-collection has compiled the unified data lake and before /ev-adversarial-audit begins. Trigger phrases: "verify stars", "check star counts", "refresh stargazer metrics", "run star verification", "ev-star-verification", "Phase 2", "live star check".

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Analyzes infostealer samples by mapping the browser, credential store, wallet, and application paths they target, and the exfiltration channel used, from static strings and behavior. Activates for requests to analyze an infostealer, identify targeted credential stores, or map stealer collection and exfiltration behavior.

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Master Bitwarden: vaults, collections, self-hosting options, CLI, and organization administration. Use when using Bitwarden personally or running it for a team, including self-hosted setups.

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Idiomatic Astro: islands architecture, content collections, SSR/SSG choices, and performance-first builds. Use when writing, reviewing, or structuring Astro sites.

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Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.

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Use when behavior-preserving frontend refactoring focuses on record, collection, value, responsibility, delegation, or algorithm boundaries, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.

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Use when a task needs the judgment of a museum or gallery curator — evaluating whether to accept a donated collection or object, writing an acquisition or deaccession recommendation, resolving a provenance or repatriation question, deciding a loan request, or drafting exhibition label copy.

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Use when a task needs the judgment of a Coin, Vending, and Amusement Machine Servicer and Repairer — triaging a jam across bill validators, coin mechanisms, refrigerated vending units, and arcade/amusement PCBs on a route, setting restock par levels against route-cycle economics, investigating a cash-collection variance at a stop, or applying food-safety temperature/time discard rules on perishable vending product.

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Use when a task needs the judgment of a Chief Data Officer — resolving conflicting metric definitions across dashboards, deciding whether a dataset should be retained or purged, assigning data ownership for a system feeding regulatory or board reporting, sizing a privacy/breach risk against a proposed data collection, or auditing data readiness before an AI/ML initiative kicks off.

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Use when a task needs the judgment of a bill and account collector — prioritizing a delinquent-account portfolio by recovery likelihood, structuring a payment plan against a debtor's stated ability to pay, drafting an FDCPA/Reg F-compliant collection communication, handling a cease-and-desist or debt dispute, or deciding when an account should be written off or referred to legal.

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Use when a task needs the judgment of a Biologist — designing a study and identifying its true experimental unit before data collection starts, running a power analysis to size a sample, judging whether a published or preclinical finding warrants trust without independent replication, sequencing IACUC/IBC/field-permit approvals before biosafety or wildlife work begins, or scoping a grant-funded research plan against realistic funding odds.

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Use when a task needs the judgment of an archivist — appraising whether a donated or transferred collection has enduring value, deciding a processing level for a backlog, writing a finding aid, triaging preservation under budget constraints, or resolving a records-restriction question.

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。