3,111 artifacts
Skills, MCPs, agents, and plugins. Search to find fast, or page through the catalog.
Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.
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.
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Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.
Observe 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.
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.
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.
Use at the start of any OpenCLI session — this is the top-level map of what `opencli` can do, how to discover adapters, what flags and output formats are universal, and which specialized skill to load next. Point here when an agent asks "what can opencli do?" or "how do I find the right command?".
Use when an agent needs to drive a real Chrome window via opencli — inspect a page, fill forms, click through logged-in flows, or extract data ad-hoc. Covers the selector-first target contract, compound form fields, stale-ref handling, network capture, and the agent-native envelopes the CLI returns. Not for writing adapters — see opencli-adapter-author for that.
Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through collecting a trace artifact, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.
Use when writing an OpenCLI adapter for a new site or adding a new command to an existing site. Guides end-to-end from first recon through field decoding, adapter coding, and verify. Replaces opencli-oneshot / opencli-explorer. For ad-hoc browser driving (no adapter), see opencli-browser instead; for a top-level orientation to opencli, see opencli-usage.
Gmail: Watch for new emails and stream them as NDJSON.
Gmail: Show unread inbox summary (sender, subject, date).
Gmail: Reply to a message (handles threading automatically).
Gmail: Reply-all to a message (handles threading automatically).
Gmail: Read a message and extract its body or headers.
Google Workspace Events: Subscribe to Workspace events and stream them as NDJSON.
Google Drive: Manage files, folders, and shared drives.
Google Drive: Upload a file with automatic metadata.
Google Chat: Send a message to a space.
Google Calendar: Show upcoming events across all calendars.
Google Workspace Admin SDK: Audit logs and usage reports.
Marketing skills for AI agents — conversion optimization, copywriting, SEO, paid ads, ad creative, and growth
NIST CSF 2.0 cybersecurity framework — govern, identify, protect, detect, respond, recover with 39 skills
Four-phase Double Diamond research methodology for structured discovery and validation
Scrum-based project management — initiate, plan, sprint, review, improve with 32 skills
Cross-domain meta-skills — project status, initialization, and reporting across all Metapowers domains
RACE Framework marketing process — strategy, reach, act, convert, engage with 33 skills
Legal Lifecycle Framework — assess, draft, review, comply, govern with 35 skills
Leadership development process and day-to-day management tools — assess, vision, build, develop, sustain with 7 utility skills
Six-phase FP&A process — assess, plan, forecast, budget, model, review with 5 utility skills
Process-oriented software development workflow: plan, build, test, debug, review, and ship
Five-phase design thinking process for component design, writing to Figma canvas via MCP
GRC Compliance Lifecycle — scope, assess, remediate, certify, monitor with 48 skills across 30+ regulations
Domain-specific mentorship and feedback — UX, code, copy, accessibility, and strategy coaching
@metapowers/figma-mcp MCP server
Four-phase bookkeeping cycle — record, categorize, reconcile, report with 5 utility skills
Eight-phase accounting cycle — analyze, journal, ledger, trial balance, adjust, statements, close with 5 utility skills
WCAG-EM accessibility audit workflow — scope, evaluate, report, remediate, retest with conformance scoring
@metapowers/figma-mcp MCP server
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