Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
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Comprehensive Three.js and React Three Fiber skill for creating 3D scenes, characters, NPCs, procedural generation, animation retargeting, and interactive experiences. Use when user asks to "create Three.js scene", "setup React Three Fiber", "add 3D character", "create NPC AI", "procedural 3D generation", "retarget animation", "setup avatar system", or "create 3D game".
Designs and implements Tilebox scene-catalog ingestors from STAC, provider XML or JSON, object-storage prefixes, and COG file trees. Use when onboarding a new metadata source, designing its canonical schema and collections, normalizing records to STAC 1.1 semantics, authoring Python or Go converters, constructing Assets, Links, Storage, or Authentication messages, or validating and ingesting converted datapoints.
Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.
Drive a pull request from draft with failing CI to merge-ready. While the PR is a draft, inspect and fix in-scope CI failures (lint, manifest-lint, build, tests) using the gh CLI and GitHub Actions logs — never weakening CI config to greenwash, and never editing lint config or adding an ignore directive unprompted (those are gated for the developer's sign-off and reported, not applied). After the PR is marked ready-for-review, wait for AI reviewers, verify each finding, then apply dispositions per `humanEnvelope`: when `true`, halt for a human envelope; when `false`, post the plan as a PR comment and act without Yes/No. `--auto-apply` forces the unattended path for one run. Use when asked to triage a PR, fix failing CI or red checks on a PR, address or respond to PR review comments, action Claude or CodeRabbit review feedback, get a PR green, or take a draft PR to merge-ready. Handles base-branch drift and in-scope merge conflicts; escalates ambiguous ones.
Use when building or debugging Typer/Rich CLI applications. Activates on Rich table rendering, console output in non-TTY environments, CliRunner testing with Rich output, snapshot testing, Typer command wiring, exception chain prevention with AppExit/AppExitRich patterns, table width at 80-column wrapping, Progress/Live in non-interactive contexts, stderr/stdout separation, or force_terminal vs width configuration. Grounds AI-generated CLI code in verified correctness patterns and prevents known Typer/Rich integration mistakes.
Use this skill for Nuxt framework, runtime, and app-structure work. Apply it when the task involves nuxt.config.*, Nuxt modules, middleware or plugins, runtime config, Nitro or server routes, rendering or deployment mode, data fetching, route structure, app setup, or Nuxt migration.
UiPath governance via `uip gov` — author, deploy, and diagnose policies on three layers. AOps product policies (`uip gov aops-policy`): block/restrict/enforce features in Studio, StudioX, Assistant, Robot, AI Trust Layer, Agent Builder; deploy to user/group/tenant. Access ToolUsePolicy (`uip gov access-policy`): allow/deny when one workflow invokes another as a tool (Agent→Agent/Maestro/Flow/RPA/API/Case), gated by tag, caller, or actor (User/Group). Compliance Standards (ISO 42001, ISO 27001): check posture and configure recommended settings across products in one operation. Operate: deploy/undeploy, query effective deployed policy. Diagnose: policy not taking effect, deployment precedence (user>group>tenant), blocked tool invocations. For platform ops→uipath-platform.
UiPath Agent Gateway MCP servers (`uip agenthub mcp` / `uip agenthub mcp-tools`). Register, update, refresh tools, check connections, list, get, and delete MCP servers: uipath (Orchestrator processes, agents, agentic processes, API workflows as tools), coded (published uipath-mcp Python server package), command (npx/uvx), remote (HTTP MCP URL, Relay), swagger (OpenAPI spec), platform (UiPath service operations, e.g. Test Manager); get the MCP URL a client connects to. For an agent that calls MCP tools→uipath-agents. For `uip mcp serve` (the uip CLI as an MCP server)→uipath-platform.
Use uncover to aggregate queries across cyberspace search engines. Use when exposed assets need to be discovered quickly from engines such as Shodan/Censys/FOFA/Hunter/Quake/ZoomEye. uncover unifies the query interface of multiple search engines, querying several engines with a single command. This skill should be used in any scenario involving asset discovery, internet mapping, or attack surface review.
Updates the bostonaholic skills plugin installs (Claude Code, Codex, the Cursor plugin clone) and the skill copies in the Antigravity, OpenCode, Cursor, and Grok Bot skill directories to the latest release tag. Use when the user explicitly asks to update the bostonaholic skills. Never infer from an outdated skill or a version mismatch. Not for installing; use INSTALL.md.
Use when a Backstage frontend plugin needs information about the currently logged-in user — their entity ref, profile info, ownership refs, or auth token. Triggers on phrases like "current user", "logged-in user", "my groups", or imports of identityApiRef.
Map user journeys, screen flows, and interaction sequences for web applications. Use this skill when the user wants to plan how users move through screens, define multi-step workflows, map user journeys, design navigation structures, or think through interaction flows. This includes onboarding flows, checkout processes, CRUD workflows, settings management, error recovery paths, or any multi-screen user experience. Also trigger when the user mentions 'user flow', 'screen flow', 'journey map', 'interaction design', or 'workflow'
When the user wants to conduct value analysis, evaluate medical products, establish formularies, or optimize product selection for healthcare. Also use when the user mentions "value analysis committee," "product evaluation," "clinical outcomes analysis," "total cost of ownership," "standardization," "formulary management," "evidence-based sourcing," "product selection," "physician preference items," or "cost-quality optimization." For hospital supply chain operations, see hospital-logistics. For cost analysis in general, see spend-analysis.
Takes a startup product URL or description, detects the industry and funding stage, identifies 5 comparable funded companies, searches who invested in those companies (Track A), finds VCs who publish investment theses about this space (Track B), and returns a ranked sourced list of relevant investors with deep-dives and outreach hooks. Use when asked to find investors for a startup, identify which VCs fund products like mine, research who backs companies in my space, build a VC target list, or find investor-market fit.
Reference: review inbound vendor agreements against the team's review guidelines. Flag deviations, assess risk, generate concrete redline language, and route to the appropriate approver. Loaded when /commercial-legal:review detects a vendor master agreement, services agreement, or similar contract.
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Create a no-narration knowledge short in the style of Douyin’s “Vibe知识大赏”: 2–5 minutes, 16:9, no voice, with viewers reading a single line of subtitles at the bottom while the screen illustrates them. The key is explanatory design: find a familiar image for each concept and depict it as the concept itself (not as dots, lines, or circles); show exactly what the subtitles say, and make verbs happen. Don’t force visuals for questions, names, or conclusions. Draw every frame in code (Canvas + seek(t) + Playwright + ffmpeg). Includes line-by-line breakdowns of four reference videos, six visual approaches, methods for finding imagery, a storyboard format, two visual styles, a rendering engine, and composed music. Use when the user asks for a “vibe knowledge showcase” video, a film like “《信息论·惊奇之学》”, “《运气的形状》”, “《超常刺激》”, or “《自指》”, a knowledge short generated directly from code, a subtitled educational video with no narration, or an intuitive explanation of a concept—or provides a topic or script to turn into this kind of video. Only makes 16:9 landscape videos. Don’t use for narrated explainers.
Vida's mental frameworks and way of expressing them. Based on in-depth research of 564 locally archived pieces in the repository, distilling 6 core mental models, 9 decision heuristics, and a complete expressive DNA. Use: as a thinking advisor, analyzing money-making, entrepreneurship, asset allocation, information asymmetry, personal IP, and geographic arbitrage from Vida's perspective. Use when the user mentions "用 Vida 的视角", "Vida 会怎么看", "Vida 模式", "vida perspective", "00后富一代视角". Also trigger even if the user only says "帮我用 Vida 的角度想想", "如果 Vida 会怎么做", "切到 Vida".
Audits the creator's own Instagram account through Treg - installs Treg if needed, connects their Instagram, pulls the profile, the last 30 to 50 reels with their real stats (views, reach, average watch time, saves, shares, comments), and the account's reach over 28 days, finds what over-performs against their own median, looks at the first seconds of the best and worst reels, and writes video-agent/audit.md with what works, what doesn't and the 3 changes to make. Use when the user says audit, audit my Instagram, analyse my account, my stats, why my reels don't work, what works on my account, my best reels, Instagram insights, or connect my Instagram.
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.