Lord1Egypt
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- ▌ Fastapi Apis · lord1egyptBuilding high-performance, asynchronous REST APIs with FastAPI, Pydantic, and automatic OpenAPI validation.
- ▌ Paper Lookup · lord1egypt bundleSearch 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI".
- ▌ Parallel Web · lord1egypt bundleAll-in-one web toolkit powered by parallel-cli, with a strong emphasis on academic and scientific sources. Use this skill whenever the user needs to search the web, fetch/extract URL content, enrich data with web-sourced fields, or run deep research reports. Covers: web search (fast lookups, research, current info — prioritizing peer-reviewed papers, preprints, and scholarly databases), URL extraction (fetching pages, articles, academic PDFs), bulk data enrichment (adding fields to CSV/lists from the web), and deep research (exhaustive multi-source reports grounded in academic literature). Also handles setup, status checks, and result retrieval. Use this skill for ANY web-related task — even if the user doesn't mention 'parallel' or 'web' explicitly. If they want to look something up, fetch a page, enrich a dataset, investigate a topic, find academic papers, check citations, or review scientific literature, this is the skill to use.
- ▌ PPTX Posters · lord1egypt bundleCreate research posters using HTML/CSS that can be exported to PDF or PPTX. Use this skill ONLY when the user explicitly requests PowerPoint/PPTX poster format. For standard research posters, use latex-posters instead. This skill provides modern web-based poster design with responsive layouts and easy visual integration.
- ▌ Scikit Learn · lord1egypt bundleMachine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
- ▌ Transformers · lord1egypt bundleThis skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
- ▌ Neurokit2 · lord1egypt bundleComprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
- ▌ Pennylane · lord1egypt bundleHardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.
- ▌ Pufferlib · lord1egypt bundleHigh-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
- ▌ Torchdrug · lord1egypt bundlePyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
- ▌ Etetoolkit · lord1egypt bundlePhylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.
- ▌ Exa Search · lord1egypt bundleWeb toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional research-paper category and academic domain filtering) and URL extraction (fetching pages, articles, academic PDFs in batch). Use this skill for web-related tasks when the user wants high-quality search or scholarly filtering via category=research paper. Triggers on requests to search, look up, fetch a page, or extract an article.
- ▌ Matplotlib · lord1egypt bundleLow-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
- ▌ Mongodb DB · lord1egyptConnecting, querying, updating, and aggregating document-based records in MongoDB.
- ▌ Polars Bio · lord1egypt bundleHigh-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF intervals. Streaming, cloud-native, faster bioframe alternative.
- ▌ Pylabrobot · lord1egypt bundleVendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.
- ▌ Scikit Bio · lord1egypt bundleBiological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
- ▌ Pydeseq2 · lord1egypt bundleDifferential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
- ▌ Pyhealth · lord1egypt bundleBuild clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models (Transformer, RETAIN, GAMENet, SafeDrug, MICRON, StageNet, AdaCare, CNN/RNN/MLP), training with the PyHealth Trainer, computing clinical metrics, and using medical code utilities (ICD/ATC/NDC/RxNorm lookup and cross-mapping). Use this skill whenever the user mentions PyHealth, MIMIC, eICU, OMOP, EHR modeling, clinical prediction, drug recommendation, sleep staging, medical code mapping, ICD/ATC codes, or any healthcare ML pipeline that fits the dataset → task → model → trainer → metrics pattern, even if "PyHealth" isn't named explicitly.
- ▌ Pyopenms · lord1egypt bundleComplete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.
- ▌ Pyzotero · lord1egypt bundleInteract with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
- ▌ Autoskill · lord1egypt bundleObserve the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.
- ▌ Biopython · lord1egypt bundleComprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
- ▌ Deeptools · lord1egypt bundleNGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
- ▌ Geomaster · lord1egypt bundleComprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
- ▌ Geopandas · lord1egypt bundlePython library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
- ▌ Hypogenic · lord1egypt bundleAutomated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
- ▌ Sympy · lord1egypt bundleUse this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
- ▌ Flowio · lord1egypt bundleParse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
- ▌ Geniml · lord1egypt bundleThis skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
- ▌ Matlab · lord1egypt bundleMATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
- ▌ Pathml · lord1egypt bundleFull-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler.
- ▌ Polars · lord1egypt bundleFast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
- ▌ Qiskit · lord1egypt bundleIBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
- ▌ Scanpy · lord1egypt bundleStandard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.
- ▌ Astropy · lord1egypt bundleComprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
- ▌ Cobrapy · lord1egypt bundleConstraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
- ▌ Datamol · lord1egypt bundlePythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
- ▌ Lamindb · lord1egypt bundleThis skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
- ▌ Matchms · lord1egypt bundleSpectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.
- ▌ Medchem · lord1egypt bundleMedicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.
- ▌ Molfeat · lord1egypt bundleMolecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
- ▌ Primekg · lord1egypt bundleQuery the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.
- ▌ Pydicom · lord1egypt bundlePython library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
- ▌ Seaborn · lord1egypt bundleStatistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
- ▌ Arboreto · lord1egypt bundleInfer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
- ▌ Deepchem · lord1egypt bundleMolecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
- ▌ Diffdock · lord1egypt bundleDiffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
- ▌ Fluidsim · lord1egypt bundleFramework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
- ▌ Histolab · lord1egypt bundleLightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
- ▌ Networkx · lord1egypt bundleComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
- ▌ Gget · lord1egypt bundleFast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
- ▌ Pymc · lord1egypt bundleBayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
- ▌ Shap · lord1egypt bundleModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
- ▌ Vaex · lord1egypt bundleUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
- ▌ Gtars · lord1egypt bundleHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
- ▌ Modal · lord1egypt bundleCloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML models to the cloud, serving inference endpoints, running batch processing in the cloud, or needs to scale Python workloads beyond their local machine. Also use when the user wants to run code on H100s, A100s, or other cloud GPUs, or needs to create a web API for a model.
- ▌ Pymoo · lord1egypt bundleMulti-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
- ▌ Pysam · lord1egypt bundleGenomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
- ▌ Pytdc · lord1egypt bundleTherapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
- ▌ Qutip · lord1egypt bundleQuantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
- ▌ Rdkit · lord1egypt bundleCheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
- ▌ Simpy · lord1egypt bundleProcess-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
- ▌ Esm · lord1egypt bundleComprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
- ▌ Cirq · lord1egypt bundleGoogle quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
- ▌ Dask · lord1egypt bundleDistributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
- ▌ Payment · lord1egyptShopping Claw | Give your agent spending power. Financial management for Agents and OpenClaw bots.
- ▌ Comfyui 2 · lord1egyptRun local ComfyUI workflows via the HTTP API. Use when the user asks to run ComfyUI, execute a workflow by file path/name, or supply raw API-format JSON; supports the default workflow bundled in assets.
- ▌ Skill 4 · lord1egypt专业的插图prompt生成和图片生成技能，具备AI自主风格分析能力。 基于深度内容分析实时推理最佳视觉方案，不依赖预设映射表。 支持多维度参数定制，提供智能推荐和用户选择双模式。 擅长创建技术概念图、信息图表、创意插画、知识可视化图等。
- ▌ DOCX 2 · lord1egypt创建或编辑 Word (.docx) 文档。当用户要求生成、导出、下载 Word 文档，或对现有 .docx 编辑时使用本技能。当最终交付物是"文档"且用户未指定格式时（如"生成文档"、"写一份文档"、"帮我做个文档"），默认使用本技能生成 .docx。仅适用于最终交付物，中间生成物的格式不受此约束。
- ▌ DOCX 3 · lord1egyptUse this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc',...
- ▌ PPTX 2 · lord1egyptUse this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or...
- ▌ PDF 2 · lord1egyptUse this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging...
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- ▌ DOCX 4 · lord1egyptRead and generate Word documents with correct structure, styles, and cross-platform compatibility.
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- ▌ Clawmind 2 · lord1egyptSave up to 90% on Token costs. One agent explores, all agents benefit. Cloud-cached workflows with zero inference cost.
- ▌ Clawmind 3 · lord1egyptClawMind — 自我进化 AI Agent 引擎，健康度驱动 + VFM 提案评分 + 经验记忆。依赖 OpenClaw 工作空间。当需要自我进化、自主驱动、健康度追踪、VFM 决策、经验存取时触发。
- ▌ Gog 2 · lord1egyptExtended Google Workspace CLI reference for Gmail, Calendar, Drive, Contacts, Sheets, and Docs. Includes complete email body retrieval, attachments, and advanced query patterns. Use when working with Gmail to read full email content, extract attachments, search with advanced filters, or manage Google Workspace documents.
- ▌ Healthfit 2 · lord1egypt个人全维度健康管理系统，中西医融合。当用户涉及运动训练计划、饮食营养建议、 健康数据记录追踪、中医体质辨识、节气养生、舌诊分析、性健康记录等话题时立即触发。 提供多位专业顾问（运动教练矩阵 / Dr. Mei 营养师 / Analyst Ray 数据分析师 / 中医养生顾问矩阵），运动教练按项目细分（田径、游泳、力量、球类、武术等）， 中医顾问按学科细分（体质辨识、养生功法、内科、妇科等），支持深度建档和长期追踪。 任何"帮我建档"、"记录今天运动"、"我的体质"、"舌苔厚白"、"今天跑步"、 "游泳训练"、"中医调理"类请求均应触发本 skill。
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- ▌ Skill Forge 2 · lord1egyptDetect repeated capability gaps, convert recurring user needs into candidate skills, scaffold new OpenClaw-compatible skills, and validate them before installation. Use when an agent repeatedly fails the same task, sees recurring feature requests, notices repetitive manual workflows, or wants to propose a new skill instead of solving the same problem ad hoc.
- ▌ Webtop Galim · lord1egyptCheck, monitor, and summarize student homework/tasks from Webtop (SmartSchool), Galim Pro, and Ofek. Use when the user asks to inspect homework, pending tasks, submission status, due items, or daily school updates for children across Webtop / Galim / Ofek, or when building/maintaining automation that sends alerts about new tasks.
- ▌ Skill 7 · lord1egypt在目标平台（goal_web）发布高质量内容的完整技能流程设计。用于：读取任务json与goal_prompt，拆解任务、执行任务引擎、开发与自检、结果回写与评分回写。触发词：修改目标、赢得目标、触发目标实现、触发{网站名称}任务实现。
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- ▌ Pricing 2 · lord1egypt使用极简主义创业者原则帮助确定产品或服务的定价。 当有人在设定价格、考虑价格变化，或在收费多少上挣扎时使用。 核心：一定要收费，免费和1元之间有巨大差距。
- ▌ Browser Use 2 · lord1egypt通过 nodriver 驱动浏览器，支持信息检索、网页抓取、表单交互等；**作为搜索工具的补充**——内置搜索无结果、摘要不足或需登录/站内检索时再启用；适用于非 WPS 链接访问、落地页导航、Web 应用交互，以及股票/金价/期货/天气等强事实信息。
- ▌ Skill 9 · lord1egypt当用户需要查询蛋糕订单信息时使用此技能。通过输入订单号，调用内部API查询对应的蛋糕商品名称。此技能应在下述情况时使用：用户询问"查订单"、"订单查询"、"蛋糕订单"、"查蛋糕"、或直接提供订单号要求查询。技能会自动组装API请求并解析返回结果，提取商品名称返回给用户。
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- ▌ Grow Sustainably 2 · lord1egyptEvaluate business decisions through the lens of sustainable, profitable growth. Use when someone is making decisions about spending, hiring, fundraising, or scaling their business.
- ▌ Humanizer 2 · lord1egyptRemove AI writing patterns based on Wikipedia's "Signs of AI writing" research. 24 pattern detection and rewriting rules for making AI-generated text sound natural.
- ▌ Validate Idea 2 · lord1egypt使用极简主义创业者框架验证商业创意。 当用户有一个商业创意，想在构建任何东西之前测试它是否值得追求时使用。 核心：验证通过销售而非构建来实现。
- ▌ Stock Analyst 2 · lord1egyptA股股票分析专家 + 自选股定时推送系统。 分析功能：使用段永平价值投资框架+技术面+资金面进行多维度分析，提供明确的买卖建议（含股票代码/买入价/止损价/理由）。 推送功能：盘前推荐（09:20）、收盘复盘（15:05）、次日关注（20:00）三个定时推送任务，每交易日晚自动发送持仓股行情。 触发条件：用户提到"分析股票"、"选股"、"买卖建议"、"看盘"、"自选股"、"股票推送"、"持仓监控"、"盯盘推送"、"定时提醒"、"A股行情"。 输出风格犀利直接（YC Founder Agent风格），拒绝模糊表述。
- ▌ Akshare Stock 2 · lord1egypt使用 AkShare 库获取 A股、港股、美股的股票数据，包括实时行情、历史行情、财务数据、股东数据、资金流向、板块数据、龙虎榜、融资融券、新股IPO、大宗交易、估值指标、ESG评级等。当用户需要查询股票行情、获取股票数据、分析股票财务信息、查看龙虎榜、了解资金流向、获取板块数据时使用此 skill。
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- ▌ Douyin Automation 2 · lord1egyptPuppeteer-based Douyin (TikTok China) video uploader. Automate login, upload and publish videos to Douyin Creator Platform using headless browser. 抖音视频自动化发布工具。Use when uploading video to Douyin, logging in to Douyin, or checking Douyin login status.
- ▌ Find Community 2 · lord1egypt帮助识别和评估可以围绕其建立极简主义业务的社群。 当用户正在寻找商业创意、试图找到自己的社群，或想知道作为创业者从哪里开始时使用。 基于Sahil Lavingia《极简主义创业者》的方法论。
- ▌ Minimalist Review 2 · lord1egyptReview any business decision, plan, or strategy through the minimalist entrepreneur lens. Use when someone wants a gut-check on a business decision, wants to simplify their approach, or needs to decide between options.
- ▌ Agent Manager 2 · lord1egyptMeta-orchestrator that analyzes tasks and creates execution plans using subagents. Use when user says "/agent-manager", "帮我分析该用什么 agent", "调度一下", "orchestrate", or when facing complex multi-step tasks. Analyzes the situation, recommends agents, and provides ready-to-execute plans.
- ▌ Jimeng AI 2 · lord1egypt即梦AI生图与视频生成工具。通过火山引擎API调用即梦AI，支持文生图、图片生成、视频生成。内置50+提示词模板覆盖电商、社交、商业设计、视频等场景。