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Agent Skills in category: Uncategorized

82447 skills match this category. Browse curated collections and explore related Agent Skills.

product-sites

Design and direct premium product, SaaS, app, portfolio, and launch sites with a clear product story, high data-ink ratio, grounded polished product imagery, responsive evidence composition, purposeful GSAP motion, and independent customer UI/UX acceptance. Use when creating or materially redesigning a product site. Coordinate with frontend-app-builder for concept-to-code implementation, imagegen for capture-grounded product imagery, review-customer-ui-ux for the final review loop, and Sites for setup, runtime, and deployment; do not replace those owners.

ingpoc
ingpoc
9

repo-readiness-bootstrap

Bootstrap or assess a Codex-first day-one readiness baseline for an unfamiliar repo. Use when entering a repo for the first time, making a repo agent-runnable, or needing one canonical readiness report before implementation.

ingpoc
ingpoc
9

resume-session

Inspect `.session/CURRENT.md`, surface the tactical handoff, and restore only an eligible explicit Codex goal. Triggers: `/resume-session`, `resume session`, `continue where I left off`, `pick up where we left off`. Use when a prior session may contain useful intent, but first reject stale, malformed, branch-diverged, commit-diverged, route-invalid, or reference-only checkpoints. Read legacy `.claude/session-data/CURRENT.md` only before `.session/` exists.

ingpoc
ingpoc
9

save-session

Snapshot only resume-relevant tactical context and an explicitly resumable Codex goal to `.session/CURRENT.md`. Triggers: `/save-session`, `save session`, `save progress`, `checkpoint`. Use when the next agent needs a compact, time-bounded handoff with the exact goal, first action, validation, blockers, route, and context to avoid. Do not capture noisy recent files or treat the checkpoint as permanent truth. Use the shell command `save-session` for the deterministic write path.

ingpoc
ingpoc
9

screenshot

Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.

ingpoc
ingpoc
9

session-introspection

Use when closing meaningful sessions or auditing agent-harness inefficiency: capture preventable friction, optionally mine recent prior sessions for recurrence, choose the narrowest durable control, route it to one owner, and apply obvious safe controls immediately.

ingpoc
ingpoc
9

session-orchestrate

Orchestrate product-plan completion across substantive Codex tasks. Use when the operator invokes $session-orchestrate, asks to continue eligible saved work, derive implementation goals from a roadmap, coordinate work across sessions, or avoid repeated compaction. A bare invocation reuses a fresh source-fingerprinted program map, rebuilding only when stale; it resumes saved work only when resume-session proves the checkpoint fresh and consistent and the current owner plan still permits it.

ingpoc
ingpoc
9

speech

Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.

ingpoc
ingpoc
9

swiftui-animation

Implement, diagnose, or review SwiftUI motion using explicit and scoped implicit animations, springs, transitions, PhaseAnimator, KeyframeAnimator, matched geometry or navigation zoom, SF Symbol effects, and custom Animation types. Use when views should animate on state changes, insertion, removal, navigation, or multi-step choreography, or when motion must respect Reduce Motion and Swift concurrency.

ingpoc
ingpoc
9

swiftui-pro

Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. Use when reading, writing, or reviewing SwiftUI projects.

Paul Hudson
Paul Hudson
9

transcribe

Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.

ingpoc
ingpoc
9

verify

Dispatch repository verification through the narrowest declared validation owner and return one evidence-backed readiness verdict. Use when the operator asks to verify a build, run quality checks, validate current changes, or decide whether work is ready. Do not invent generic commands when AGENTS.md, package scripts, a phase gate, or a specialist skill already owns validation.

ingpoc
ingpoc
9

widgetkit

Implement, review, or improve WidgetKit widgets and controls. Use when building Home Screen, Lock Screen, StandBy, or CarPlay widgets with timeline providers; configurable widgets with AppIntentTimelineProvider; interactive widgets or Control Center controls with Button/Toggle wiring; WidgetKit push reloads, refresh budgets, deep links, Smart Stack relevance, Liquid Glass/accented rendering, widget extension setup, WidgetBundle, App Groups, and entitlements.

ingpoc
ingpoc
9

xcode-cloud

Design, configure, audit, and verify Xcode Cloud CI/CD for Apple-platform projects, including private source repositories, generated Xcode projects, custom ci_scripts, managed signing, build numbering, compute usage, TestFlight delivery, and App Store Connect readback. Use when setting up Xcode Cloud, choosing an Apple CI runner, repairing cloud builds, controlling cost, or separating archive/upload success from TestFlight and device acceptance.

ingpoc
ingpoc
9

ui-ux-pro-max

UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.

hxk622
hxk622
91

deep_research

深度研究能力,支持多源搜索、信息聚合、引用回溯、文档上传分析。适用于市场调研、竞品分析、学术研究、技术选型、金融投研等场景。支持上传 PDF/Excel/Word 等文档,自动转换并提取关键信息。

hxk622
hxk622
91

financial_research

面向股票/行业/宏观的金融研究技能,结合结构化金融数据(OpenBB/AkShare)与多源信息验证,生成带引用与免责声明的研究报告。

hxk622
hxk622
91

aeon

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

hxk622
hxk622
91

cirq

Google 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.

hxk622
hxk622
91

dask

Distributed 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.

hxk622
hxk622
91

pymc

Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.

hxk622
hxk622
91

pymoo

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

hxk622
hxk622
91

rdkit

Cheminformatics 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.

hxk622
hxk622
91

anndata

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

hxk622
hxk622
91

cobrapy

Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.

hxk622
hxk622
91

datamol

Pythonic 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.

hxk622
hxk622
91

molfeat

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

hxk622
hxk622
91

arboreto

Infer 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.

hxk622
hxk622
91

deepchem

Molecular 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.

hxk622
hxk622
91

biopython

Comprehensive 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.

hxk622
hxk622
91

deeptools

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.

hxk622
hxk622
91

matplotlib

Low-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.

hxk622
hxk622
91

bioservices

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

hxk622
hxk622
91

latex-posters

Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.

hxk622
hxk622
91

research-grants

Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

hxk622
hxk622
91

literature-review

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).

hxk622
hxk622
91

scientific-slides

Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.

hxk622
hxk622
91

scientific-critical-thinking

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

hxk622
hxk622
91

frontend-design

创建独特、生产级前端界面,避免 AI 味。用于构建 Web 组件、页面或应用,生成精致、有创意的代码。

hxk622
hxk622
91

image_generation

AI图像生成与编辑能力,基于 Nano Banana (Gemini Image) 实现文生图、图生图、图像编辑。适用于创意设计、营销素材、社交媒体内容、演示文稿配图等场景。支持多种风格、高分辨率输出(最高4K)、文字渲染、角色一致性保持。

hxk622
hxk622
91

planning-with-files

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.

hxk622
hxk622
91

ppt_generation

智能 PPT 生成能力,支持从研究报告一键生成演示文稿。基于 Marp Markdown 引擎,支持专业模板、数据图表、PDF 导出。适用于商业提案、项目汇报、产品介绍、培训课件、融资路演等场景。

hxk622
hxk622
91

biorxiv-database

Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

hxk622
hxk622
91

cellxgene-census

Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.

hxk622
hxk622
91

ena-database

Access European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats.

hxk622
hxk622
91

ensembl-database

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

hxk622
hxk622
91

esm

Comprehensive 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.

hxk622
hxk622
91

etetoolkit

Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.

hxk622
hxk622
91

gene-database

Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.

hxk622
hxk622
91

geniml

This 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.

hxk622
hxk622
91

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