Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Describes how to implement FFCPE (Firefly Creative Production for Enterprise) custom-action web and worker OpenWhisk actions using @adobe/ffcpe-custom-node-core and @adobe/ffcpe-custom-node-app-builder (Hono, mountFfcpeNodeRoutes, createFfcpeNodeWorker, submit/status contract). Describes adding actions to existing Adobe App Builder repos: co-located <action-name>.web|worker|entry files, *.config.yaml updates, and webpack + esbuild-loader partial for TypeScript with CommonJS output. Use when scaffolding or migrating FFCPE web/worker pairs, fixing ext.config.yaml / runtimeManifest, or debugging hono-openwhisk-adapter web actions (web: raw). After deploy, use aio ffcpe catalog with co-located <action-name>.entry.json (skills in adobe/aio-cli-plugin-ffcpe) to register the action.
Helps Adobe App Builder developers build FFCPE (Firefly Creative Production for Enterprise) custom actions using @adobe/ffcpe-custom-node-core and @adobe/ffcpe-custom-node-app-builder (OpenWhisk web + worker actions, Hono, submit/status HTTP contract, inputs/outputs, IMS-aware routes). Use when the user is wiring a custom-action app in App Builder, implementing FfcpeNodeWorkerHandler, mounting routes with mountFfcpeNodeRoutes, configuring web: raw OpenWhisk actions, debugging submit/statusUrl polling, handling Text/Image/Video/Json inputs, or producing action outputs for run-workflow. For catalog-entry.json and aio ffcpe catalog CLI, use companion skills from adobe/aio-cli-plugin-ffcpe.
Drives the Fictiv on-demand manufacturing web app (app.fictiv.com) in the user's browser, since there is no public API. Covers uploading CAD files (STEP, SLDPRT, STL), configuring process, material, finish, threads and tolerances, reading DFM feedback, instant or manual quotes, lead-time tiers, checkout by card or PO, order tracking and reorders. Use when the user mentions Fictiv. Use when they want a part CNC machined, 3D printed, sheet-metal fabricated, cast, or molded online. Use when they ask to get a quote or order parts from a STEP or STL file. Use when they need to check a Fictiv quote or order status. Use when a Fictiv upload, DFM warning, price or checkout fails. Not for ITAR-controlled parts, which Fictiv does not accept.
Transcribe audio/video files to text with Gemini — languages auto-detected, optional speaker labels, timestamps and a vocabulary of names/terms. Supports MP4, MP3, WAV, OGG, MKV and other ffmpeg-readable formats; long recordings are chunked automatically
Read, inspect, and write 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 workspaces.
Orchestrate product-aware Flutter UI design and redesign from repository inspection through rendered verification. Use for new Flutter screens, multi-screen flows, major visual redesigns, design-led implementation, or ambiguous Flutter UI requests that require routing across audit, design-system, implementation, motion, accessibility, and visual-QA workflows.
Implement approved, production-quality Flutter interfaces with adaptive layout, complete states, project-native architecture, accessibility, and proportionate verification. Use when visual direction and behavior are sufficiently defined and the user asks to build, change, polish, or refactor Flutter UI code.
Retrieve ClinGen gene-disease validity assertions for a public gene or disease, and review source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Use when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance without accepting patient, phenotype, family, segregation, or private case data.
Find 10x product opportunities and high-leverage improvements. Use when user wants strategic product thinking, mentions '10x', wants to find high-impact features, or says 'what would make this 10x better', 'product strategy', or 'what should we build next'.
Multi-agent orchestrator for Claude Code. Use when user mentions gastown, gas town, gt commands, bd commands, convoys, polecats, crew, rigs, slinging work, multi-agent coordination, beads, hooks, molecules, workflows, the witness, the mayor, the refinery, the deacon, dogs, escalation, or wants to run multiple AI agents on projects simultaneously. Handles installation, workspace setup, work tracking, agent lifecycle, crash recovery, and all gt/bd CLI operations.
Plans and audits local genomic-interval machine learning workflows with Geniml (0.8.4) and Gtars: validates BED files against chromosome sizes and assembly contracts, plans Region2Vec, scEmbed, and BEDspace runs, checks model, tokenizer, and universe.bed compatibility, and assesses consensus universes (CC, CCF, ML, HMM, assess-universe). Bundled scripts only validate or plan; they do not train. Use when checking BED coordinates, contigs, or assembly before analysis. Use when planning Region2Vec or scEmbed training on tokenized Parquet data. Use when verifying that a checkpoint, config.yaml, and universe match. Use when building or assessing a consensus peak universe. Use when reviewing BEDbase or Hugging Face download risks. Not for general BED manipulation or peak calling; use bedtools or similar tools.
Predict regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence''s hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer activity, chromatin state, sequence-to-expression (log TPM), and de-novo gene annotation, plus a composite find-genes-then-predict-expression workflow. Use when the user has a gene symbol, a genomic region, or a DNA/FASTA sequence and wants any of these predictions, mentions Genomic Intelligence, genomicintelligence.ai, api.genomicintelligence.ai, or mcp.genomicintelligence.ai.
Researches what prompts people ask AI engines (ChatGPT, Gemini, Perplexity, Claude) about a product category and produces a prompts.csv artifact — a prioritized, strictly-schema'd list of the queries where the brand should be cited. Feeds the monitor workflow.
Invoke before recommending, training, or auditing a neural method for geospatial imagery, including vision transformers, U-Net/DeepLab/SegFormer, object detection, pixel classification, building/road extraction, and EO foundation-model fine-tuning. Also invoke for neural chip-split validity, IoU/accuracy claims, augmentation, imbalanced losses, spatial validation, or sliding-window inference. Use remote-sensing-analysis for non-neural methods and change-detection when temporal change is the deliverable.
Route genuinely ambiguous or multi-stage geospatial work across specialist skills while enforcing shared CRS, validity, leakage, units, verification, and reproducibility rules. Use for requests spanning multiple stages such as acquisition, imagery, modeling, analysis, and map delivery, or for an explicit end-to-end pipeline. Never invoke for one domain merely because a parameter is unclear. Code implementation/review, backend or platform choice, and production-readiness review are direct specialist tasks. Do not add this skill as a layer around one specialist.
Supports text-to-image and image-to-image. Use when the user needs to create or generate images. After submit, proactively poll task status every ~15–30s and message the user each time until completed/failed/timeout—do not wait for the user to ask for progress. Use cases: (1) Generate from text description, (2) Use reference images, (3) Customize model, aspect ratio, resolution. Triggers: generate image, draw, create image, AI art.
Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run protein expression and purification (cell-free, E. coli, or Pichia), HiBiT or A280 or LabChip quantification, IVT mRNA/circRNA synthesis, thermal shift / developability assays, Echo-MS enzyme or analyte methods, SPR target onboarding, fluorescent pixel art, or otherwise interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.
Automates the full PR lifecycle — create or update a pull request, then aggressively monitor CI checks and review feedback in a continuous loop, fixing failures and addressing comments until the PR is fully green. Also covers push, branch creation, and branch sync workflows.
Create, edit, audit, and speed up GitHub Actions workflows using Bret Fisher's opinionated DevOps rules. Use it when the user asks to create a workflow or CI/CD pipeline, edit or add a job to an existing `.github/workflows/*` file (even a one-line change), review or harden a workflow for security, speed up slow CI, publish a container image from CI, automate releases, or mentions GHA, action pinning, or findings from gasa, zizmor, poutine, pinact, or actionlint, even if they don't say "GitHub Actions".
Create and manage GitHub repositories, pull requests, issues, releases, branches, secrets, and more using the orbit CLI. Use this skill whenever the user asks about GitHub repositories, PRs (pull requests), GitHub Actions workflow runs, branches, tags, commits, issues, releases, secrets, or organization repos. Trigger on phrases like 'list PRs', 'check the actions', 'watch the workflow', 'create a secret', 'open a pull request', 'view the latest commits', 'list repos in org X', 'rerun the workflow', 'close the issue', 'latest release', 'set a GitHub secret', or any GitHub-related task — even casual references like 'what's running in CI', 'show me the PRs', 'tag a release', 'check if it merged', 'list repos', 'is the build passing', or 'add a deploy key secret'. Also trigger when the user wants to monitor CI/CD progress, manage Actions secrets for deployments, or debug failing workflows, or when they want to call a GitHub REST endpoint directly ('gh api', 'call the GitHub API', 'raw API request', anything the typed commands do not cover). The orbit CLI alias is `gh`.
Use when creating new instances by copying an existing one rather than constructing from scratch — phrases like "Prototype pattern", "clone this object", "copy an instance with one field changed", "registry of prototypes", "the constructor is expensive but I have a finished example". Defines Prototype as specifying the kinds of objects to create using a prototypical instance and creating new objects by copying that prototype.
Use when behavior varies independently of the object that uses it—phrases like “Strategy pattern”, “swap the algorithm at runtime”, “this class has a giant switch over behavior types”, “the duck class is hardcoded to one quacking style”, “encapsulate the algorithm”. Defines Strategy as encapsulating a family of interchangeable algorithms behind a common interface, letting clients vary the algorithm without subclassing.
Chat with Grok Bot teammates, message a named Grok Bot, create a new Grok Bot, list Grok Bots, read a Grok Bot transcript, or operate the xAI Grok Bot desktop app from Cursor, Claude Code, or Codex instead of the UI. Use when the user mentions Grok Bot, Grok teammates, Reed, Agent Computer, spinning up a new bot, or talking to Grok from the terminal.
Inspects and plans work with Gtars, the Rust/Python/CLI toolkit for genomic intervals: BED RegionSet set algebra (reduce, setdiff, intersect, closest, cluster, gaps), overlap counts, consensus peak sets, coverage, tokenizers, fragment processing, and refget/BEDbase stores. Use when merging or comparing BED interval sets, building a consensus or universe from peaks, tokenizing regions for ML models, working with fragment files, or planning refget sequence-collection and BEDbase cache use. Use when checking BED coordinates, contigs, or strand before running gtars. Not for general BAM/VCF processing; use samtools or bedtools for that.
Query IUPHAR/BPS Guide to Pharmacology (GtoPdb) for receptor-ligand interactions, target/ligand metadata, families, and approved drugs. Affinities (pKi/pIC50/pKd), action (Agonist/Antagonist/etc.), species, structures (SMILES/InChI). No auth. Always resolve targets via geneSymbol/accession; most metadata lives in sub-resources (/databaseLinks, /structure, /synonyms).
A professional data-insight tool built for creating WeChat Official Account articles. It continuously collects daily hit articles from across the web, selected by: low follower count with high reads, top reads, growing metrics, and top original content, helping account owners get data references.
Delegate an implementation task to the Kiro CLI and report exactly what it changed — verified against a git baseline, never on kiro's SELF-REPORT. Gathers the context a fresh agent needs, rephrases the request into a self-contained, injection-safe prompt with XML boundary tags, injects the task's kiro convention skills (`--skill`), launches kiro via the bundled helper with trust scoped to the mode (`implement` = least-privilege write, `review` = read-only), then diffs the working tree against a pre-run baseline. Never auto-installs kiro or pipes a remote installer to a shell, never passes raw user input through the shell or defaults to `--trust-all-tools`, and reports partial completion and errors honestly rather than trusting kiro's own summary. Use only when the user explicitly asks to delegate implementation to kiro.
This skill should be used when self-hosting, installing, configuring, operating, updating, troubleshooting, or learning to use NousResearch Hermes Agent, including CLI usage, gateway and Slack setup, plugins, tools, skills, profiles, memory, MCP, cron, Kanban, delegate_task subagents, dashboards, and tmux-managed Hermes sessions.
Parse HMDB (Human Metabolome Database) local XML for metabolite info, chemical properties, biological context, disease links, spectra, and cross-DB mapping. No REST API — uses ~6 GB XML download. Use drugbank-database-access for drugs; pubchem-compound-search for live lookups.
Turn user content into a single-presenter knowledge explainer video. Applies to science popularization, tutorials, courses, information summaries, or product mechanism explanations that require the presenter to speak and interact with floating holographic information.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.