Claude Skills by majiayu000

Poll favorite RSS feeds including Hacker News and Lobsters. Fetches latest tech headlines and provides a summary of current news. Use when you want to catch up on tech news or see what's trending.

Scan an AgentMail inbox for newsletter signals using configurable keyword campaigns. Extracts matched keywords, context snippets, and company mentions from incoming emails. Use for monitoring accounting industry newsletters for buying signals like acquisitions, migrations, and staffing news.

Subscribe to and scan industry newsletters for buying signals, competitor mentions, ICP pain-point language, and market shifts. Parses incoming newsletter emails via AgentMail, matches against keyword campaigns, and delivers a weekly digest of actionable signals. Use when a marketing team wants to turn newsletter subscriptions into an ongoing intelligence feed without manual reading.

When the user wants to solve single-period inventory problems, optimize stocking levels for perishable goods, or make one-time purchase decisions under demand uncertainty. Also use when the user mentions "newsvendor model," "newsboy problem," "single-period inventory," "perishable inventory," "overage and underage costs," "critical fractile," "fashion goods inventory," "seasonal products," "service level optimization," or "demand distribution matching." For multi-period problems, see dynamic-...

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. Essential for understanding and strengthening resurrection protocols.

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. Essential for understanding and strengthening resurrection protocols.

Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling reliable cold-start AI sessions across a team. Produces INDEX.md, systems.md, concept_model.json, git_forensics.md and more. Requires shell execution and Python 3.10+. For ad-hoc file ...

Review an existing HLD against NFR reference and generate gap report

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) to build account scoring models and prospecting criteria. Triggers: ICP analysis, niche signals, won vs lost analysis, differential signals, signal discovery, ICP signal report, account scoring signals, lead scoring, first-party signals, b...

---name: nicheformer-spatial-agent

以全球鎳供給結構為核心，量化各國的主導程度（例如印尼）、主要礦區供給量、以及政策配額/減產情境對全球供需平衡與價格非對稱的影響。

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", "anomaly detection".

Analyze multi-contract correlations for forecast-based hedge recommendations. Use when managing correlated assets. Trigger with 'analyze correlations' or 'suggest hedge'.

Analyze multi-contract correlations for forecast-based hedge recommendations. Use when managing correlated assets. Trigger with 'analyze correlations' or 'suggest hedge'.

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'.

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'.

Transforms natural language requirements (user stories, verbal descriptions, business rules) into formal specifications and constraints. Use when converting informal requirements into structured, testable specifications with explicit constraints. Outputs in multiple formats including BDD-style Given-When-Then, JSON Schema, and structured plain text requirements documents.

note.comのリサーチツール - 非公式API + MCP + WebSearchでゼロコストリサーチ

Identifiziert notenrelevante Saetze im Arbeitszeugnis und trennt sie von neutralen Aufgabenbeschreibungen. Anwendungsfall Zeugnis liegt vor und muss für Ampelanalyse vorbereitet werden. Normen § 109 GewO Inhalte eines qualifizierten Zeugnisses BAG-Anforderungen an Vollständigkeit. Kategorisierung Aufgabenbeschreibung Leistungsbeurteilung Verhaltensbeurteilung Schlussformel. Output Kategorisierte Satzliste als Eingabe für satzweise-notenmatrix und Bereichs-Drift-Detektor. Abgrenzung zu zeugnis...

---name: notion-research-documentation

Rigorously and meticulously evaluate and score story text, analyzing quality from market potential, innovation attributes, and content highlights dimensions. Suitable for novel initial screening, multi-dimensional evaluation scoring

游戏化拆书。把原始小说、拆文库或写作工程压缩成有必要原文证据的 SOURCE_BIBLE，提取世界规则、玩家动词、空间、角色意志、系统和视觉锚点，不提前发明游戏类型。用于游戏化拆书、分析小说的游戏改编基础等需求。

Analyzes events through narrative lens using story structure, character arc analysis, dramatic tension, thematic development, and narrative theory (three-act structure, hero's journey, conflict-resolution). Provides insights on narrative coherence, character motivations, dramatic stakes, plot development, and thematic resonance. Use when: Complex human stories, leadership analysis, organizational narratives, crisis narratives, cultural moments. Evaluates: Character development, narrative arc,...

Analyzes events through narrative lens using story structure, character arc analysis, dramatic tension, thematic development, and narrative theory (three-act structure, hero's journey, conflict-resolution). Provides insights on narrative coherence, character motivations, dramatic stakes, plot development, and thematic resonance. Use when: Complex human stories, leadership analysis, organizational narratives, crisis narratives, cultural moments. Evaluates: Character development, narrative arc,...

Verify research idea novelty against recent literature. Use when user says \"查新\", \"novelty check\", \"有没有人做过\", \"check novelty\", or wants to verify a research idea is novel before implementing.

Verify research idea novelty against recent literature. Use when user says \"查新\", \"novelty check\", \"有没有人做过\", \"check novelty\", or wants to verify a research idea is novel before implementing.

Verify research idea novelty against recent literature. Use when user says \"\u67e5\u65b0\", \"novelty check\", \"\u6709\u6ca1\u6709\u4eba\u505a\u8fc7\", \"check novelty\", or wants to verify a research idea is novel before implementing.

evidence-scoutの結果を受け、研究ギャップを体系的にマッピングし、 新規性の高い研究機会を特定・スコアリングする。EHR-RWDの優位性を活かした差別化ポイントを明確化。

Screen Nifty 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) — identifying Stage 2 uptrends with tightening price ranges and declining volume before potential breakouts. Use this skill when the user requests VCP screening, Minervini-style setups, Stage 2 breakout candidates, or volatility contraction patterns on NSE/BSE stocks.

Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.

Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules

JSON schemas for Person and Company dossiers, Admiralty Code source rating framework, output format specifications, and executive summary generation guidelines.

Cross-platform identity matching techniques for resolving entities across multiple OSINT sources, with confidence scoring framework, blocking strategies, and LLM-assisted validation.

Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques

Git change frequency hotspot analysis — find the most-changed files in your codebase

Evidence collection methods, problem categorization, analysis techniques, and solution design patterns

Research output templates, distillation workflow, and quality standards for evidence-driven research

Gathers knowledge from web and files, cross-references across multiple sources, and produces cited research documents. Use when investigating technologies, patterns, or decisions that need evidence backing.

Root cause analysis and debugging

Critique dimensions and scoring for research document reviews

Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements

Calculate OASIS (Oxford Acute Severity of Illness Score) for ICU patients in MIMIC-IV. Use for mortality prediction with fewer variables than APACHE/SAPS, or when lab data is limited.

Parses OpenTelemetry-formatted logs to reconstruct execution traces, extract errors with call chains, and provide AI-powered root cause analysis. Use when investigating errors, checking logs, debugging issues, viewing traces, or analyzing execution flow. Triggers on "check the logs", "analyze errors", "what's failing", "debug this issue", "show me the traces", or "investigate the error".

Analyzes Claude Code session transcripts (JSONL files) to reveal context window content, token usage patterns, and decision-making processes using view_session_context.py tool. Use when debugging Claude behavior, investigating token patterns, tracking agent delegation, or analyzing context exhaustion. Triggers on "why did Claude do X", "analyze session", "check session logs", "context window exhaustion", or "track agent delegation".

Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

Use this skill when the user keeps paper notes inside an Obsidian project knowledge base and wants filesystem-first literature review, explicit agent-first Zotero ingestion, `Papers/` plus `Knowledge/` synthesis, collection-wide normalization, and a default literature canvas without Obsidian MCP.

Analyze Obsidian vault documentation to understand current knowledge state. Use when exploring documentation structure, identifying gaps, or planning documentation consolidation.

Use this skill when generating higher-level synthesis notes such as literature reviews, comparison matrices, project summaries, or other cross-note summaries inside the project knowledge base.