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Found 10,772 Skills
Community skill for applying the Geist design system to Vercel-inspired UI across React, Next.js, Vite, Astro, Svelte, Vue, HTML/CSS, Tailwind, shadcn, and Radix surfaces. Use it for typography, spacing, color tokens, material treatment, component styling, app shells, dashboards, forms, tables, dialogs, empty/loading/error states, responsive layouts, and UI polish. This is a community-authored skill, not an official Vercel skill. Trigger when the user asks for Geist, Vercel-style UI, or generic clean, modern, premium, beautiful, polished SaaS/developer-product visual design where no other final visual system, brand direction, or art direction is requested. Do not trigger for non-visual frontend work such as bug fixes, data wiring, analytics, tests, build tooling, API/state changes, or behavior-only accessibility fixes unless the task also creates or materially changes rendered UI.
Sui Move smart contract development. Use when writing, reviewing, or debugging Move code on Sui. Covers Move abilities (key, store, copy, drop), TxContext, init functions, One-Time Witness, package publishing and upgrades, resource safety, events, and coins. Also use when the user asks about struct abilities, UID, how to destroy objects, or how to create a fungible token. For object model and ownership, see the `object-model` skill. For programmable transaction blocks, see the `ptbs` skill. For frontend dApp development, see the `frontend-apps` skill. For project setup and Move.toml, see the `sui-move-project` skill.
Use when validating that a real-world problem exists before defining JTBD or writing code. Triggers on "is there demand for this?", "how do I validate this idea?", "should we build this?", or before any MVP scope decision. Combines multiple signal sources to produce a Problem Statement with confidence level.
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, ZINC, BindingDB), materials (Materials Project, COD), biology/genomics (Reactome, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, BioGRID, Gene Ontology, dbSNP, gnomAD, ENCODE, Human Protein Atlas, Human Cell Atlas), disease/clinical (COSMIC, Open Targets, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, World Bank, US Treasury), demographics (US Census, Eurostat, WHO). Use when looking up compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, or any public database API query.
Run an ordered sequence of pm-skills against one input via the pm-workflow-orchestrator sub-agent, pausing for go/no-go and stopping on a failed or empty step. Dispatches natively on Claude Code with the pm-skills plugin (invokes @agent-pm-skills:pm-workflow-orchestrator, which delegates each step through the Skill tool); on non-Claude clients (Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI) reads agents/pm-workflow-orchestrator.md and walks the loop inline after a tool-capability pre-flight. Explicit invocation only; never fires proactively. EXPERIMENTAL on all non-Claude clients and on the native path until smoke-tested; run --dry-run first.
Handles all RHDH-related work — "RHDH", "Red Hat Developer Hub", or "Developer Hub". Primary entry point for plugin development, overlay management, environment setup, repo navigation, version compatibility, CI/CD, configuration, debugging, and general RHDH ecosystem knowledge. Routes to specialized sub-skills as needed. Use when asked about RHDH version compatibility, RHDH CI pipeline, RHDH configuration, which RHDH repo to use, RHDH release status, RHDH debugging, or any Developer Hub question.
Drive the Duvo public API from the terminal via the `duvo` CLI (`@duvoai/cli`). Use when the user wants to script Duvo — managing agents, runs, cases, queues, files, skills, connections, Clarity processes, or hitting an arbitrary endpoint via `duvo api` — instead of clicking through the Duvo web UI or hand-crafting `curl` calls.
When the user wants to build or improve a sales bot's ability to detect prospect language and respond appropriately or route to the right team. Also use when the user mentions "language detection," "multilingual," "non-English," "translation," "language routing," or "international prospects."
Reads a contract and generates redline suggestions with replacement language. Identifies unfavorable terms, missing protections, ambiguous language, liability exposure, IP risks, termination traps, and auto-renewal gotchas. Produces a contract-review.md with clause-by-clause analysis, risk ratings, tracked changes format, and negotiation talking points. Use when the user wants redline markup, contract markup, or suggested contract edits.
Analyze source code and produce an enterprise-quality, domain-organized Wiki under `.nium-wiki/`. Trigger on: "generate wiki", "create docs", "update wiki", "rebuild wiki", or any documentation generation request. Capabilities: - Semantic code analysis — understands logic, not just structure - Auto-generated Mermaid diagrams (architecture, data flow, class, dependency) - Bidirectional cross-linking across all documents - SHA256-based change detection for incremental rebuilds - Every section traces back to source via relative path links - Multi-language output (zh/en/ja/ko/fr/de and more)
Host setup for TAO GPU backends. Checks and, after user approval, installs NVIDIA driver branch 580, CUDA Toolkit 13.0, and NVIDIA Container Toolkit 1.19.0 for Docker/local-Docker and Kubernetes GPU worker hosts. The `--check-only` path works on any Linux distribution; `--install` automates debian-family (Ubuntu/Debian/Pop!_OS/Mint/Zorin/Raspbian), rhel-family (Fedora/RHEL/Rocky/AlmaLinux), and suse-family (openSUSE/SLES) hosts, and prints actionable manual-install steps for everything else.
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".