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概要と使いどころ
Use when targeting the Annual Review of Environment and Resources or deciding whether an environment-and-resources synthesis fits this invited-review venue. Encodes the journal's invited-review fit, the authoritative-synthesis bar, structure expectations, official-submission re-check, and desk-reject heuristics.
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。
Multi-source research with source triangulation and fact-checking. Use for any research task requiring 3+ sources.
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。
Given the path to a finished content-goose ad-run folder, extract everything that defines that ad — recipe shot list, VO script, characters, voices, world, atom-skills, master mp4 — and emit a `source-sample.json` in the exact shape the `upload-ad-sample` skill writes to the Goose Ads library. Also links every character and voice to the central character library at `<repo-root>/assets/character-library/` (repo-root derived from the run-dir, not a hardcoded path), and if a character isn't in the library yet, adds it first then links. Use when the user wants to remix one of their existing ads — this skill produces the source JSON that the script-rewriting step and `remix-ad` consume.
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。
Infers person-to-person transmission from pathogen genomes using outbreaker2, TransPhylo, phybreak, BadTrIP, SCOTTI, BEASTLIER, and SNP-distance / cluster-picker approaches (HIV-TRACE for HIV; transcluster). Defines outbreak clusters using pathogen-specific SNP thresholds (NOT a universal cutoff -- TB <=12 SNPs; MRSA <=15; C. difficile <=2; Klebsiella <=21), models within-host diversity and transmission bottlenecks, integrates contact-tracing data, distinguishes generation from serial interval, and attributes source via Bayesian source attribution (islandR). Use when investigating outbreaks for who-infected-whom, defining SNP-cluster outbreak definitions, accounting for unsampled intermediates, choosing between outbreaker2 (rich epi data) and TransPhylo (genomic-only after a dated phylogeny), running source attribution between host populations, calling HIV-TRACE thresholds appropriate to the local subtype, or distinguishing recent transmission from reactivation in TB or chronic HIV.
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。
Transfer app data to or from other platforms using AppMigrationKit. Use when implementing system-orchestrated one-time migration between iOS and Android or another platform, building an AppMigrationExtension, packaging transportable resources with ResourcesArchiver, importing resources on the destination device, reporting import progress, handling migration errors and app group cleanup, checking MigrationStatus, or testing migration code with AppMigrationTester.
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。
Turn raw source material in a second-brain vault into linked wiki pages: read the source, split it into concepts and entities, write or update pages, connect them to existing pages, and record the run in the log. Use this skill whenever the user drops a file into raw/, pastes an article, transcript or PDF and asks to add it to the vault, says "ingest this", "add this to my second brain", "process raw", or asks to catch up on unprocessed sources, even if they do not name the ingest command. Do NOT use for answering questions from an existing vault, for linting or repairing pages, or for editing notes the user wrote by hand.
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。
End-to-end GitHub repository maintenance for open-source projects. Use when asked to triage issues, review PRs, analyze contributor activity, generate maintenance reports, or maintain a repository. Triggers include "triage", "maintain", "review PRs", "analyze issues", "repo maintenance", "what needs attention", "open source maintenance", or any request to understand and act on GitHub issues/PRs. Supports human-in-the-loop workflows with persistent memory across sessions.
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。
Deprecated compatibility entry for Resource Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Resource 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。
Analyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.
Optimize Kubernetes costs through resource right-sizing, unused resource detection, and cluster efficiency analysis. Use for cost optimization, resource analysis, and capacity planning.
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。
kubectl operations for applying, patching, deleting, and executing commands on Kubernetes resources. Use when modifying resources, running commands in pods, or managing resource lifecycle.
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。
Configure or diagnose access to a requested source using available host tools. Use for source MCP setup; source configuration needs no engagement record and credentials stay with the host.
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。
Team structure, gearing analysis, continuity planning, and competing demand management for legal matters. Use when setting up a matter team, reviewing whether work is being done at the right grade, planning cover for an unavailable team member, or managing a resource conflict across matters. Trigger on: 'who should be on this matter', 'team structure', 'gearing', 'right people at the right level', 'partner is doing associate work', 'cover for maternity leave', 'who has capacity', 'team member leaving', 'over-allocated', 'staffing conflict', 'pinch point', 'capacity problem', 'how do we resource this', 'team too senior', 'team too junior'.
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。
Swiss legal source and authority triage. Use when a user asks a Swiss legal, regulatory, compliance, contract, employment, corporate, litigation, IP, tax, privacy, public-law, fintech, register, or cantonal-law question; when Swiss law may apply; or when an AI legal answer needs source routing across federal, cantonal, communal, regulator, register, contractual, professional, soft-law, multilingual, or open-data layers.
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。
A jurisdiction-grounding reference file for AI assistants working on Gibraltar legal, regulatory, and compliance research. Corrects systematic errors AI models make when applying English law to Gibraltar — a distinct jurisdiction under the Gibraltar Constitution Order 2006, with its own court hierarchy, civil procedure rules, employment law, and regulatory framework. Covers the source hierarchy, court structure, civil procedure divergences (14-day deemed service, post-Jackson reforms not adopted), employment law specifics (uncapped discrimination awards, 5-employee redundancy threshold), FSC financial services regulation, AML/KYC compliance sources, Gibraltar Companies Act 2014 with UBO public register, and a structured directory of official public record sources. Includes research profiles for lawyers, compliance professionals, and due diligence practitioners. Not legal advice.
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 a US employment law topic across federal, state, and city jurisdictions and produce structured research notes with proper source attribution. Use this skill any time the user asks about US employment laws, regulations, or pending legislation - from a single jurisdiction question to a 50-state survey. Triggers include phrases like "research [employment law topic]", "what are the laws on [employment topic]", "state-by-state [employment topic]", "help me understand [topic] across the US", or any prompt that asks for a legal landscape overview before another deliverable. Always run this BEFORE the employment-law-dashboard skill if a dashboard is the eventual output. Output is a structured research note that distinguishes primary sources (statutes, regs, agency guidance) from secondary sources (law firm alerts, tracker orgs).
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。
Data-driven resource harvesting (mining, logging, foraging) for Godot 4: apply_hit tool/tier validation via HarvestToolData enums, HarvestResourceData yields, harvestable_node shake/deplete, respawn_manager world persistence, UNIX offline progress, autosave, and noise vein proc-gen. Trigger keywords: apply_hit, HarvestResourceData, HarvestToolData, offline UNIX, respawn_manager, tool tier, harvestable_node, FastNoiseLite veins.
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。
Expert blueprint for survival games (Minecraft, Don't Starve, The Forest, Rust) covering needs systems, resource gathering, crafting recipes, base building, and progression balancing. Use when building open-world survival, crafting-focused, or resource management games. Keywords survival, needs system, crafting, inventory, hunger, resource gathering, base building.
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。
Bevy ECS skill for app-wide resources and schedules. Keywords: Bevy, Resource, App, Schedule, Plugin.
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。
Bevy ECS skill for components and resources as data. Keywords: Bevy, Resource, Res, Component, data.
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。
Query A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
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。
This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, En
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 this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need synthesis across multiple external sources, iterative follow-up research, or a reusable written artifact. Do not use for quick factual lookups, single-source summaries, simple Q&A, summarizing one document the user already provided, plan-only requests where the user explicitly defers the actual research, or when the user wants a short answer with no need for cited evidence (a short but evidence-backed conclusion is still a brief memo, which this skill covers). Chinese trigger examples: "帮我调研", "深度研究", "综述报告", "技术选型分析", "竞品研究", "政策分析".
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。
Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules
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。