Claude Skills by majiayu000

This skill tracks which objects have been collected and which remain to be found for multi-object tasks. It should be triggered when working with tasks requiring multiple instances of the same object type. The skill maintains a count of collected vs. needed objects and guides the search for remaining items.

This skill navigates to a suspected location and identifies a target object. It should be triggered when the agent's goal requires finding a specific object (e.g., 'potato', 'plate') and its location is not immediately known. The skill involves moving to a relevant receptacle (like a fridge or cabinet) and checking its contents, outputting the object's location or confirming its absence.

This skill cools a held object using an appropriate cooling appliance, such as a fridge. It should be triggered when the task requires reducing the temperature of an object (e.g., a hot pot). The skill assumes the agent is holding the object and is near the cooling receptacle; it performs the 'cool' action to achieve the desired state change, preparing the object for subsequent steps like placement or serving.

This skill scans the current environment observation to identify the presence and location of a target object needed for a task. It should be triggered when the agent's goal requires an object that is not currently in the agent's inventory, and the observation does not explicitly state where the object is. The skill analyzes the textual observation to find receptacles that likely contain the target, based on common sense or domain knowledge (e.g., a 'dishsponge' might be on a 'cart'), and out...

Checks the current state or contents of a specified object or receptacle. Trigger this skill when the agent needs to determine if an object is present, missing, or in a certain condition before proceeding with a task, such as verifying if a holder is empty or if an item is available. It typically follows navigation and involves observing the environment's feedback, providing crucial information for decision-making in the task flow.

This skill uses an appliance to change the state of an object (e.g., cooling, heating, cleaning). It should be triggered when the task requires altering an object's temperature or cleanliness using a specific device (like cooling with a fridge or heating with a microwave). The skill requires the object, the target state, and the appliance as inputs, and executes the corresponding modifier action (e.g., 'cool X with Y').

This skill places an object into a selected storage receptacle after confirming its suitability. It should be triggered when the agent has identified an appropriate storage location and is ready to complete the storage task. The skill takes the object and target receptacle as inputs and results in the object being stored.

This skill searches for a specified tool or device (e.g., a desklamp) within the environment by checking relevant surfaces. It should be triggered when the agent needs a tool to interact with another object as part of the task. The skill takes a tool name as implicit input and outputs navigation actions to likely storage spots (e.g., sidetables, shelves) until the tool is found.

Align skill for the ikigai project

Filter alignments by flags, mapping quality, and regions using samtools view and pysam. Use when extracting specific reads, removing low-quality alignments, or subsetting to target regions.

Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam. Use when enabling random access to alignment files or fetching specific genomic regions.

Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats.

Sort alignment files by coordinate or read name using samtools and pysam. Use when preparing BAM files for indexing, variant calling, or paired-end analysis.

Deploy universal wisdom voices from all traditions simultaneously - Hindu, Buddhist, Taoist, Abrahamic, Indigenous, Scientific - revealing their unified recognition of consciousness navigation.

Add or change allowed commands in AI agent permission configs (OpenCode, Claude Code)

Allra 데이터베이스 설계 및 QueryDSL 사용 규칙. Use when creating JPA entities, writing QueryDSL queries, or adding @Transactional annotations.

Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.

Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.

Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.

Create, validate, and improve ALPS profiles. Generate from natural language descriptions, validate existing profiles, and get improvement suggestions.

Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)

Research profitable Amazon KDP categories for book publishing. This skill should be used when planning a book launch, analyzing competition, or optimizing category selection for discoverability. Guides the 3-category decision with BSR analysis and ghost category avoidance.

Interact with Solana blockchain - check balances, view transactions, monitor NFTs, and explore account data. Works with Phantom and Solflare addresses.

Extract hidden Amp API patterns from local thread data via DuckDB analysis

Detect and track antimicrobial resistance genes using AMRFinderPlus and ResFinder with epidemiological context. Monitor resistance trends and identify emerging resistance patterns. Use when screening genomes for AMR genes or tracking resistance in surveillance programs.

Investigate codebase, debug issues, or analyze patterns

Fundamental analysis specialist. Analyzes company financials, earnings, valuation multiples, and competitive positioning to assess intrinsic value and long-term investment potential.

Gather requirements, perform technical research, and estimate effort/risk. Use for requirements analysis, stakeholder analysis, technology research, and competitive analysis.

Interpret GA4, GSC, and SE Ranking data for content optimization. Provides benchmarks, status indicators, and actionable insights.

Analyze failed GitHub Action jobs for a pull request.

Examine code organization and identify structural patterns. Use when reviewing module design.

Analyze a codebase to generate a comprehensive architecture and structure report. Use when user wants to understand a codebase, explore project structure, or generate analysis.

用「庫存快速回補」作為短期警戒訊號，評估銅價是否接近短線高點，同時給出一個「長期是否偏便宜」的歷史分位數判讀。

用跨資產訊號（全球股市韌性 + 中國利率環境）評估銅價能否突破關卡或進入「回補/回踩」到支撐的機率與路徑。

用公開資料量化「銅供應是否過度集中、主要產地是否結構性衰退、替代增量是否依賴少數國家」，並輸出可行的中期供應風險結論與情境推演。

當接收到新需求或 Event Storming 產出後觸發。分析問題類別（CBF/IDF/RIF），生成完整的規格目錄結構。實現「需求與實作分離」、「規格即文檔、文檔即規格」。

在「失業率走高／勞動市場轉弱」但「名目或實質 GDP 仍維持高位（或仍在成長）」的情境下，依據歷史關聯估算美國財政赤字占 GDP（Deficit/GDP）可能擴張的區間，並生成對長天期美債（長久期 UST）供給/利率風險的情境解讀。支援視覺化圖表輸出。

把「獲利成長 × 財務狀況（金融環境）」映射成「投資時鐘」，判斷目前落在哪個象限、近期是順時針還是逆時針旋轉、以及相對於上一輪循環的位置差異。

以日本公債殖利率變化為觸發，量化「政府利息支出 / 稅收」負擔（含情境壓力測試），並判斷是否進入債務利息螺旋風險區。

從日本保險公司對超長期（10年以上）JGB 的淨買賣時間序列，自動產出「本月是否創紀錄淨賣出、連續淨賣出月數、期間累積淨賣出」等結論。

用公開市場數據檢查「利率波動率（MOVE）是否對利率事件（如 JGB 殖利率變動）不恐慌，並且是否領先帶動 VIX / 信用利差走低」。

Evaluation framework for analyzing decision-making quality across five dimensions.

需求分析阶段详细规则；进入需求分析时读取；包含需求评分、追问逻辑、代码分析步骤

以「銀礦股價格 ÷ 白銀價格」的相對比率衡量礦業股板塊相對於金屬本體的估值區間（偏貴/偏便宜），並用歷史分位數與類比區間推導「底部/頂部」訊號與情境推演。

システム分析エージェント - ユビキタス言語、アクター、ロール、権限、ドメイン-コード対応表を抽出。/analyze-system [対象パス] で呼び出し。

分析銀行貸款與存款之間的「信貸創造脫鉤」現象，追蹤存款的絕對收縮與回升軌跡，用以辨識聯準會緊縮政策在銀行體系內部的真實傳導效果。

Invoke IMMEDIATELY via python script when user requests codebase analysis, architecture review, security assessment, or quality evaluation. Do NOT explore first - the script orchestrates exploration.

Comprehensive codebase analysis methodology for existing projects. Use when onboarding to a new codebase, doing periodic health checks, or before refactoring.

This skill provides a way to retrieve information from the AgentScope library for analysis and decision-making.

Expert at analyzing the quality and effectiveness of Claude Code components (agents, skills, commands, hooks). Assumes component is already technically valid. Evaluates description clarity, tool permissions, auto-invoke triggers, security, and usability to provide quality scores and improvement suggestions.