Top Rated
Highest quality-scored skills across all categories
Showing 421–480 of 13,459 skills · Page 8 of 225
Orchestra-Research / academic-plotting
13.8kGenerates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini.
Orchestra-Research / ara-research-manager
13.8kRecords research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags.
obra / executing-plans
291.0kUse when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
eigent-ai / docx
15.4kUse this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of \"Word doc\", \"word document\", \".docx\", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or let…
wshobson / typescript-advanced-types
39.9kMaster TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications
wshobson / parallel-feature-development
39.9kCoordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation.
wshobson / team-communication-protocols
39.9kStructured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid.
wshobson / block-no-verify-hook
39.9kConfigure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags
wshobson / nft-standards
39.9kImplement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration
wshobson / brand-landingpage
39.9kBrand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML
wshobson / cost-optimization
39.9kOptimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis
wshobson / hybrid-cloud-networking
39.9kConfigure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections
wshobson / debugging-strategies
39.9kMaster systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack
wshobson / hads
39.9kUse when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.
wshobson / database-migration
39.9kExecute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures
wshobson / connectivity-triage
39.9kUse this skill when debugging active macOS connectivity failures, when an API or MCP service times out or disconnects, when DNS resolution is failing or inconsistent, or when video calls or other interactive traffic show packet loss or latency.
wshobson / k8s-security-policies
39.9kImplement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security
wshobson / slo-implementation
39.9kDefine and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting
wshobson / python-anti-patterns
39.9kUse this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.
wshobson / uv-package-manager
39.9kMaster the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows
wshobson / binary-analysis-patterns
39.9kMaster binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition
wshobson / memory-forensics
39.9kMaster memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools
wshobson / competitive-landscape
39.9kAnalyze competition, identify differentiation opportunities, and develop winning market positioning strategies using Porter's Five Forces, Blue Ocean Strategy, and positioning maps.
wshobson / startup-financial-modeling
39.9kBuild comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.
wshobson / startup-metrics-framework
39.9kTrack, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management.
wshobson / team-composition-analysis
39.9kDesign optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A.
code-yeongyu / ulw-plan
69.4kExplore-first planning consultant that writes one decision-complete work plan before coding. Use only on an explicit user request for the ulw-plan workflow or a plan before implementation; it never self-activates on a bare ulw run.
code-yeongyu / frontend
69.4kBuilds, styles, and polishes web UI and UX. Use for any frontend, page, component, styling, layout, animation, or visual-quality task, or when asked to make an interface look or feel a certain way.
code-yeongyu / programming
69.4kApplies strict, modern language practice (typed errors, exhaustive match, tests that can fail) for Python, Rust, TypeScript, and Go. Use for work on .py, .rs, .ts, or .go files.
code-yeongyu / review-work
69.4kPost-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.
K-Dense-AI / 13c-metabolic-flux
46.4kEstimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics.
K-Dense-AI / adaptyv
46.4kUses the Adaptyv Bio Foundry API and Python SDK to design protein characterization experiments, estimate costs, submit sequences, monitor laboratory progress, and retrieve results.
K-Dense-AI / arboreto
46.4kInfers candidate gene regulatory networks from bulk or single-cell expression data using AertsLab Arboreto GRNBoost2 and GENIE3. Use for transcription factor-target association ranking, compatible Dask execution, sparse expression inputs, and network stability checks.
K-Dense-AI / bids
46.4kOrganizes, queries, validates, and converts Brain Imaging Data Structure (BIDS) datasets. Supports organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICO…
K-Dense-AI / clinical-decision-support
46.4kPrepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.
K-Dense-AI / database-lookup
46.4kQueries documented public database APIs with explicit endpoints, filters, pagination, and provenance. Used when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.
K-Dense-AI / datamol
46.4kPythonic 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.
K-Dense-AI / deepchem
46.4kBuilds molecular property prediction and MoleculeNet workflows with DeepChem, including SMILES featurization, scaffold or grouped holdouts, masked labels, graph models and explicit pretrained encoder transfer.
K-Dense-AI / deepspot-m
46.4kGenerates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the released protein-coding gene panel by symbol, and whole-slide prediction after resolution-aware tiling with histolab.
K-Dense-AI / depmap
46.4kRetrieves and analyzes Cancer Dependency Map (DepMap) release data, including CRISPR Chronos gene effects, cancer model annotations, omics biomarkers, and PRISM drug sensitivity.
K-Dense-AI / dnanexus-integration
46.4kBuilds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Supports DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.
K-Dense-AI / etetoolkit
46.4kAnalyzes, manipulates, compares, annotates, and visualizes phylogenetic or other hierarchical trees with ETE 4. Supports Newick/Nexus tree I/O, topology edits and pattern matching, Robinson-Foulds comparisons, gene-tree evolutionary events and reconciliation, NCBI/GTDB taxonomy, SmartView exploratio…
K-Dense-AI / flowio
46.4kReads, inspects, and writes Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO. Use for low-level FCS metadata and channel inspection, NumPy event extraction, multi-dataset files, table export, and FCS 3.1 creation; use FlowKit for compensation, cytometry transforms, gating, or FlowJo…
K-Dense-AI / flowkit
46.4kAnalyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces.
K-Dense-AI / folklore-variant-evidence
46.4kRetrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP.
K-Dense-AI / genomic-coordinates
46.4kConverts genomic intervals between coordinate conventions, normalises and compares variant representations, and detects assembly or contig-naming mismatches before they corrupt an analysis.
K-Dense-AI / geopandas
46.4kGuidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O.
K-Dense-AI / get-available-resources
46.4kDetects host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload.
K-Dense-AI / latchbio-integration
46.4kBuilds, registers, debugs, and operates bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP
K-Dense-AI / liteparse
46.4kLocal document and PDF parsing that returns spatial text with bounding boxes. Use for extracting text from PDFs, DOCX, Office files, and images; running OCR on scans; producing layout-preserved JSON for RAG; batch-ingesting folders of papers; or rendering pages to PNG for multimodal agents.
K-Dense-AI / markitdown
46.4kConverts heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.
K-Dense-AI / matchms
46.4kProcesses, cleans, compares, and searches tandem mass spectra with matchms. Use for MS/MS file I/O, metadata harmonization, peak filtering, spectral similarity, library matching, score matrices, and molecular-similarity networks.
K-Dense-AI / matlab
46.4kBuilds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
K-Dense-AI / medchem
46.4kApplies medicinal chemistry filters for compound triage, using drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
K-Dense-AI / ncats-arax
46.4kQueries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships.
K-Dense-AI / ontology-term-resolution
46.4kResolves free-text scientific labels to ontology term IDs and validates existing CURIEs against the EBI Ontology Lookup Service (OLS4). Also looks up prefixes in Bioregistry, resolves compact identifiers via Identifiers.org, maps lab shorthand with ZOOMA, and builds Ontobee term pages
K-Dense-AI / pathml
46.4kSupports local computational pathology research with PathML: slide loading and tiling, preprocessing and QC, h5path storage, multiplex quantification, spatial graphs, and bounded model inference. Use for whole-slide H&E, CODEX, Vectra, Mesmer, HoVer-Net, and HACTNet workflows.
K-Dense-AI / pennylane
46.4kBuilds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins.
K-Dense-AI / polars
46.4kHigh-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.
K-Dense-AI / pptx-posters
46.4kCreates and audits editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets.