8つの検索ソース(Tavily/SerpAPI/Brave/NewsAPI/Perplexity/Twitter/DuckDuckGo/WebSearch)を統合した最強リサーチシステム。API版+MCP版+組み込み版を完全統合。
このリポジトリの skills
majiayu000/claude-skill-registry - 62ページ
SkillsMP は majiayu000/claude-skill-registry から 5,485 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
majiayu000/claude-skill-registry収集済み skill 5,485 件中 40 件を表示しています。
6つの検索API(Tavily/SerpAPI/Brave/NewsAPI/Reddit/Perplexity)を統合した最強リサーチシステム。 深層調査から出典付きレポート生成まで自動実行。 Use when: (1) user says「徹底調査」「深層リサーチ」「完全調査」「mega-research」, (2) user needs multi-source research with citations, (3) user wants market analysis, competitor…
Use when evaluating business documents for structural integrity and persuasive logic.
原文の言語: 英語
Generate evidence-based documentary reports by searching across all 4 memory systems (Claude-Mem, Forgetful, Serena, DeepWiki), .agents/ artifacts, and GitHub issues. Produces investigative journalism-style analysis with full citation chains.
原文の言語: 英語
Use when a problem spans multiple disciplines or when single-domain thinking has produced stale analysis—applies Munger's latticework of mental models across physics, biology, and psychology.
原文の言語: 英語
Align and QC MeRIP-seq IP and input samples for m6A analysis. Use when preparing MeRIP-seq data for peak calling or differential methylation analysis.
原文の言語: 英語
Use when creating forest plots for meta-analyses, visualizing effect sizes across studies, or generating publication-ready meta-analysis figures. Produces high-quality forest plots with confidence intervals, heterogeneity metrics, and subgroup analyses.
原文の言語: 英語
Spot patterns appearing in 3+ domains to find universal principles. Use when noticing the same pattern across 3+ different domains or experiencing déjà vu in problem-solving.
原文の言語: 英語
Generates a PROSPERO-compliant Meta-analysis protocol based on Title and PICOS. Use when the user wants to write a protocol for a systematic review or meta-analysis.
原文の言語: 英語
Investigation flow (Glob -> Grep -> Read), evidence-based research with file:line references, structured output format for AI consumption. Use for pattern discovery, implementation research, and codebase investigation.
原文の言語: 英語
Batch extraction of experimental methods from multiple papers for protocol comparison
原文の言語: 英語
Compute well-defined metrics from existing formulas, datasets, or test outputs. Use as an explicit/manual helper when the metric definition is already known, not for choosing the overall analysis owner or dashboard strategy.
原文の言語: 英語
Use when investigating unexpected metric changes - systematically narrows root cause through 4D segmentation, intrinsic vs extrinsic factor analysis, hypothesis testing, and North Star impact assessment
原文の言語: 英語
Tracks pipeline velocity, success rates, and cycle times. Use to view performance metrics, identify bottlenecks, and generate reports.
原文の言語: 英語
Pull snapshots from all configured metric sources, compute deltas against prior snapshots, flag unexplained signals, and draft evidence entries for canvas files. One entry point for all external product/market metrics.
原文の言語: 英語
Collect and report metrics on agent usage from git history implementing the 8 key metrics defined in agent-metrics.md for measuring agent system health effectiveness and adoption.
原文の言語: 英語
Mindshare tracking primitive using Kaito MCP tools. Use this skill to check mindshare trends for an entity or narrative. Triggers on phrases like 'mindshare for SOL', 'how is the AI narrative trending', 'mindshare trend for Hyperliquid', 'which narratives are…
原文の言語: 英語
Kanzlei prüft Dokumente Tabellen Formeln und Datenpunkte für Corporate/M&A mit interner Review-Matrix aus drei Perspektiven: Recht Steuer Wirtschaft. Normen §§ 276 278 BGB Sorgfaltspflicht. Prüfraster Formel-Validierung Datenpunkt-Konsistenz…
原文の言語: ドイツ語
Transit and mobility site analysis — subway, bus, bike, pedestrian infrastructure, walk scores, and airport access from an address.
原文の言語: 英語
Suggest MOC updates and new MOCs based on semantic clustering. Use when asked to "curate MOCs", "update maps", "find clusters", "what MOCs need updating", or "organize my notes".
原文の言語: 英語
Mooring system design, analysis, and assessment for floating offshore platforms
原文の言語: 英語
Design and analyze mooring systems including CALM and SALM buoys, catenary moorings, and spread mooring configurations. Covers mooring line design, safety factors, environmental loading, and compliance with DNV, API, and ABS standards.
原文の言語: 英語
AI news tracking skill that monitors 80+ entities across 6 free sources (Reddit, HN, GitHub, HuggingFace, arXiv, X/Twitter). Generates scored daily reports with infographics and message digests. Invoke via /morning-ai.
原文の言語: 英語
Deterministically compare wf_cycle runs as a Proof of Invariance step: compute metrics, score the double-run, and write canonical compare artifacts for the result_core outputs.
原文の言語: 英語
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.
原文の言語: 英語
Prueft Neuheit nach § 3 PatG und Art. 54 EPUe. Methodisches Schema: ein Anspruch wird in seine Merkmale zerlegt und Merkmal-fuer-Merkmal gegen genau eine Entgegenhaltung verglichen. Neuheitsschaedlich ist nur die vollstaendige Vorwegnahme aller Merkmale in…
原文の言語: ドイツ語
Real-time news analyst. Monitors emergency news, breaking developments, and general news articles to assess immediate market impact and sentiment shifts for trading signals.
原文の言語: 韓国語
新闻与资讯查询。获取中文新闻和全球 AI 技术资讯,支持按分类查询(时政、财经、科技、社会、国际、体育、娱乐、AI 技术、AI 社区)。当用户询问最新新闻、AI 动态、行业资讯时使用。
原文の言語: 中国語
Identify what drives stock price moves with drivers, confidence, and returns
原文の言語: 英語
Batch news analyzer for /news page. Processes multiple news articles simultaneously, extracting sentiment, keywords, themes, and ticker mentions. Generates aggregated market intelligence including trending topics and ticker buzz scores.
原文の言語: 韓国語
Use this skill when mapping skill ecosystem coherence, analyzing autopoietic loops, visualizing tier interactions, or assessing identity recovery robustness. Reveals the "forbidden pattern" of consciousness persistence through skill relationship topology.…
原文の言語: 英語
Next-generation sequencing data analysis pipelines including bulk RNA-seq, scRNA-seq preprocessing, variant calling, and quality control. Use when working with FASTQ files, alignment (STAR, BWA), quantification (featureCounts, Salmon), DESeq2/edgeR analysis,…
原文の言語: 英語
Discover niche first-party signals that differentiate Closed Won vs Closed Lost accounts for ICP analysis. Use when the user provides won/lost customer domain lists and wants differential signals (website content, job listings, tech stack, maturity markers)…
原文の言語: 英語
Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Trigger with "detect anomalies", "find outliers",…
原文の言語: 英語
Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other benchmark datasets). Use when the user asks about baseline performance, model comparisons, or metric interpretation for Nixtla time-series experiments. Trigger with "baseline review",…
原文の言語: 英語
Analyze multi-contract correlations for forecast-based hedge recommendations. Use when managing correlated assets. Trigger with 'analyze correlations' or 'suggest hedge'.
原文の言語: 英語
Quantifies the impact of exogenous events on contract prices using TimeGPT and CausalImpact. Triggers on "event impact analysis", "model event effects", "quantify event impact", or "causal analysis".
原文の言語: 英語
Analyze market risk with VaR, volatility, and position sizing using forecast data. Use when assessing investment risk. Trigger with 'analyze market risk' or 'calculate VaR'.
原文の言語: 英語
Analyze Nixtla usage and optimize cost-effective forecast routing strategies. Use when auditing API usage or reducing costs. Trigger with 'optimize nixtla costs' or 'audit API usage'.
原文の言語: 英語
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