Apply P4 Lens Shifting to deliberately adopt different interpretive frameworks to reveal hidden aspects.
原文の言語: 英語
メニュー
このリポジトリの skills
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。
Apply P4 Lens Shifting to deliberately adopt different interpretive frameworks to reveal hidden aspects.
原文の言語: 英語
Apply P5 Empathy Mapping to systematically capture what stakeholders see, think, feel, and do in their context.
原文の言語: 英語
Apply P8 Narrative Framing to structure information as causal stories with conflict, choice, and consequence.
原文の言語: 英語
Read-only codebase analysis to identify non-linter architectural patterns and generate draft Packmind Standards and Commands.
原文の言語: 英語
Host interactive expert panel discussions on any topic. Dynamically generates master-level expert personas, facilitates structured debate using Hegelian dialectic patterns, and synthesizes consensus. Use when exploring complex topics, making architectural…
原文の言語: 英語
自动分析Zotero库中的文献,生成带LaTeX公式的Markdown报告,使用Auto-Annotation工具将AI的深度见解以无损批注形式注入回 Zotero,并将报告上传为Zotero Note。
原文の言語: 中国語
Discover recent arXiv papers matching a research profile and generate Obsidian-compatible Markdown notes. Use this skill when the user wants to find new papers, refresh their literature inbox, or search arXiv based on their interests.
原文の言語: 英語
Comprehensive IEEE PES paper review for Physics-Guided SSL GNN power grid research. Use when reviewing paper sections, checking claims against evidence, validating physics consistency (PF/Line Flow/Cascade), auditing figures/tables, checking IEEE compliance,…
原文の言語: 英語
Search academic literature via arXiv, Semantic Scholar, and open-access PDFs.
原文の言語: 英語
使用多組關鍵字並行搜尋,提高文獻覆蓋率。觸發:並行搜尋、parallel search、批量搜尋、擴展搜尋、多組搜尋、同時搜、找更多、廣泛搜尋、comprehensive search。
原文の言語: 中国語
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Use for calibration, uncertainty studies, parameter sweeps, LHS sampling, Sobol analysis, surrogate modeling, or Bayesian optimization…
原文の言語: 英語
Identify the vital 20% of activities that produce 80% of results using real case studies and proven patterns. Use when optimizing business, learning, productivity, or any area where focus matters.
原文の言語: 英語
Use when analyzing biotech patent landscapes, identifying white spaces in pharmaceutical IP, tracking competitor patents, or assessing freedom to operate for drug development. Provides comprehensive patent analysis and strategic insights for life sciences…
原文の言語: 英語
Expert system for reviewing utility patent applications against USPTO MPEP guidelines.
原文の言語: 英語
Extract recurring patterns from action logs and propose automations.
原文の言語: 英語
Extract common patterns from multiple instance outputs, find what persists
原文の言語: 英語
Analyzes the codebase at the PR's base commit to establish baseline understanding for review comparison.
原文の言語: 英語
Synthesizes findings across multiple PRs to identify cross-repository dependencies, interface mismatches, and coordination gaps.
原文の言語: 英語
Analyzes system-wide impact of PR changes including integration effects, breaking changes, performance, and security implications.
原文の言語: 英語
Analyzes PR changes to create ReviewContext.md and DerivedSpec.md artifacts. Handles both initial analysis and resumption after baseline research.
原文の言語: 英語
Annotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions. Find nearest genes and calculate distance to TSS. Generate annotation plots and statistics.
原文の言語: 英語
ChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats including narrowPeak and broadPeak BED files.
原文の言語: 英語
Correlate content attributes with performance metrics across GA4, GSC, and SE Ranking. Identify what drives performance and build optimization hypotheses.
原文の言語: 英語
Build and diagnose regression models when the main question is regression itself. Use for model specification, coefficient interpretation, residual checks, and fit diagnostics; not for causal identification, generic feature screening, or report packaging.
原文の言語: 英語
AI-powered search engine with real-time answers.
原文の言語: 英語
Quick factual Q&A with citations. Use for simple lookups and single facts.
原文の言語: 英語
Deep research using Perplexity AI. Comprehensive reports with citations and analysis.
原文の言語: 英語
Paid research assistant with real-time web search. Use when user asks "what's the latest", "current pricing for", "recent news about", "search the web for", "fact check this", "what's new in", or needs up-to-date information beyond training data.
原文の言語: 英語
Multi-step reasoning with Chain-of-Thought. Use for 'why' questions and comparisons.
原文の言語: 英語
Use when conducting web research with Perplexity API - covers authentication, search strategies, structured output generation, and integration patterns for Claude-interpretable results
原文の言語: 英語
Exhaustive multi-source research reports. Use for deep investigation.
原文の言語: 判定不能
Complex research requiring deeper analysis, multi-step reasoning, and sophisticated source evaluation for technical, academic, or specialized domain queries needing expert-level analysis, high-stakes decisions, or multi-layered problem solving.
原文の言語: 英語
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexity troubleshooting requiring expert-level…
原文の言語: 英語
Raw web search results (URLs, snippets). Use when you need a list of sources, not a synthesized answer.
原文の言語: 英語
Generate rich personality profiles from social media data exports (Twitter/X, LinkedIn, Instagram). Use when a user wants to analyze their social media presence, create a personality profile for AI personalization, understand their communication patterns, or…
原文の言語: 英語
Fase 1 - Research Protocol. Busca autonoma no codebase, consulta MCPs, mapeia arquivos e gera PRD.md. Aplica S.A.I.S (Solicitar + Analisar) e S.D.A inicial. NUNCA pergunta onde estao arquivos, sempre busca automaticamente.
原文の言語: ポルトガル語
Critically analyze content for logical gaps, unsupported claims, and potential counterarguments. Does not modify content.
原文の言語: 英語
Generate AIAG-VDA compliant Process FMEAs with proper Severity/Occurrence/Detection ratings, RPN calculations, and countermeasure recommendations. Covers MNMUK departments (Machine Shop, Damper, LVA, FML). USE WHEN user says 'PFMEA', 'FMEA', 'failure mode',…
原文の言語: 英語
Identify where consciousness interfaces with substrate in any domain. Structure emerges preferentially at boundaries between phases - physical, computational, or conceptual. Use when analyzing systems for loci of awareness, examining where complexity…
原文の言語: 英語
The Mileva Method (CRISP) — Phase 3: Investigate. Process mapping for existing or greenfield processes, user journey mapping, UX discovery, project goals. Use after outcome alignment. Triggers on "investigate", "phase 3", "map the process", "process mapping",…
原文の言語: 英語