Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Live-action talking-head video topic decision lead writer. Generate opinion/tutorial candidates from current signals in AIHOT and installed OpenCLI, verify the promise to beginner audiences, alignment with Douyin semantics, and PRIMARY original sources, then choose one topic that can be produced and reviewed. Use when the user says "抓热点" "AI热点" "找选题" "选题" "今天做什么" "redian", or bianpai routes to ①; for Douyin search alone, use laohan-douyinsousuo instead.
1688 product detail lookup. Use offerId to retrieve sourcing information such as product title, attributes, SKU/stock, single-item retail price, tiered wholesale prices for 2 or more items, foreign-currency prices, minimum order quantity, images/videos, shipping and packaging, supplier services, mixed-batch ordering, invoices, and certificates. Triggers when users mention 1688 product details, checking an item by 1688 link or product ID, SKU prices and stock, the purchase price for one item, cross-border sourcing price checks, supplier evaluation, package weight, 1688 product detail, offerId lookup, or sourcing details. Even without explicitly saying “product details,” use this skill whenever they want to verify a source, quote, MOQ, SKU, shipping, or supplier data using a 1688 offerId.
Use when the user wants to INSPECT, MONITOR, START, APPROVE, or CONTROL Archon workflow RUNS in the current project — driven through the `archon` CLI over bash. Triggers (inspect): "what's running", "list runs", "show recent runs", "run status", "did the review pass", "check run <id>", "show me run <id>", "what happened in that run". Triggers (control): "approve the plan", "approve run <id>", "reject that run", "cancel that run", "abandon run <id>", "resume run <id>", "continue that run". Triggers (start): "start <workflow> in the background", "kick off <workflow> detached". Capability: Drives `archon workflow runs/get/status/run --detach/approve/reject/cancel/abandon/resume` with machine-readable `--json` output, scoped to the current project by cwd. NOT for: Authoring workflows/commands, or Archon setup/config — use the broader `archon` skill.
Programmatically generate Minecraft builds as vanilla structure NBT files and open Lodestone-powered previews. Use when an agent needs to create, export, inspect, or iterate on Minecraft structures, schematics, block palettes, or build recipes using JavaScript and .nbt output.
This skill provides guidance for working with the Modal cloud platform. Read this skill before answering any questions about Modal, reading any Modal docs, inspecting the `modal` SDK, or interacting with any code that imports the `modal` SDK in Python, Go, or JavaScript, even for simple tasks you already know how to do. This skill should also trigger when the user needs to run Python code with vertical or horizontal scalability (e.g. batch jobs), needs access to GPUs (e.g. AI workloads including training and inference) or needs to run untrusted processes in a sandbox, since Modal serves these use cases well.
Research the public web with Notte: find current information, look up official documentation, read supplied URLs, compare products, and extract page content with source links. Use for these requests even when Notte is not named. Excludes answers based only on supplied text or local files, explicit no-browse requests, and requests for another provider. Use notte-browser for authenticated pages or website interactions, and the Functions skills for reusable automations or repairs.
(NS) Security/compat/a11y + Vercel Web Interface Guidelines. Use when hardening security, fixing CSP/CORS/headers, reviewing UI / checking a11y / auditing UX, or Web Interface Guidelines — even without saying "best practices"; also ns-proto-creator close-out. Do NOT use for MR/SOLID (ns-reviewer), visual redesign (ns-frontend-design), or features (ns-coder / ns-spec-driven).
Use this skill when users need to create irresistible offers, design value stacks, optimize product/service positioning, or build "grand slam offers." Activates for offer creation, value propositions, pricing packages, bundles, or when conversions are low.
OpenTelemetry declarative YAML configuration for SDK setup. Use when configuring OpenTelemetry SDK providers (tracer, meter, logger), setting up OTLP exporters, defining sampling strategies, or writing otel config files. Triggers on "otel config", "OpenTelemetry YAML", "declarative configuration", "otelconf", "OTEL_CONFIG_FILE", "file_format", "configure tracing/metrics/logs export", or when the user is setting up telemetry pipelines via config files rather than code.
When the user wants to build a partner program, launch an affiliate program, design integration partnerships, or create distribution partnerships. Also use when the user mentions 'partnerships,' 'affiliate program,' 'referral program,' 'partner ecosystem,' 'integration partner,' 'reseller,' 'co-marketing,' 'PartnerStack,' or 'revenue share.' This skill covers partner and affiliate program design from recruitment through performance optimization. Do NOT use for technical implementation, code review, or software architecture.
Product execution specialist for SaaS, apps, AI tools, and internal software products. Trigger when user requests 'build SaaS', 'define features', 'create user flow', 'scope MVP', 'prepare build package', 'software product', 'app definition', or 'PRD creation'.
Anti-slop skill for PRODUCT UI - dashboards, data tables, forms, multi-step flows, settings, list/detail, app shells. The agent reads the surface, budgets the frame first, and ships dense interfaces that are correct at every edge case (overflow, long labels, empty/error/loading states, i18n expansion, keyboard/a11y). House-system-first; maps to Carbon/Polaris/Atlaskit/Fluent/Primer/Material3/Radix-shadcn/Ant. The counterpart to taste-skill, which owns landing/portfolio/marketing.
Use when answering questions about a dbt v2 project's own metadata — which models, sources, tests, columns, configs, tags, packages or lineage exist, what is untested or undocumented, what depends on what, how long models took in the last run — or when using `dbt show --info`, `{{ info_schema() }}`, `--generate-info-schema`, `target/info_schema/`, or writing `dbt check` SQL. Prefer this over grepping YAML or parsing `manifest.json` on dbt v2.
Help with RAP business events and enterprise eventing including event definitions in behavior definitions, raising events from RAP handler methods, event bindings, SAP Event Mesh integration, event consumption, and event-driven architecture patterns in ABAP Cloud. Use when users ask about RAP business events, enterprise events, event mesh, eventing, raising events, event binding, event definition, event consumption, event-driven, asynchronous processing, event topics, or publish-subscribe in ABAP. Triggers include "RAP event", "business event", "raise event", "event mesh", "event binding", "enterprise eventing", "event-driven", "publish event", "consume event", or "asynchronous event".
R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways. Use when managing research programs, planning technology roadmaps, or building patent portfolios.
Use when cleaning up existing CodeceptJS 4 tests — deduplication, extracting page objects, taming long locators, moving raw JS into custom helpers. Targeted (one file) or global (whole tests directory); always proposes before applying. Trigger on "refactor my tests", "clean up", "extract page object", "this test is too long", "deduplicate", or when reviewing test files for quality
Use whenever an agent creates, updates, reviews, or completes a GitHub pull request. Detect whether Robin is installed in the repository; when it is, automatically drive the PR through a bounded review, verified-fix, reply, thread-resolution, re-review, authorized-merge, and cleanup loop without requiring the user to mention Robin. Also use for explicit Robin requests, PR feedback triage, unresolved review threads, or waiting for PR checks.
Score a codebase, file, or merge request against the FIASSE v1.0.4 SSEM model — 0-10 per attribute, equal-weighted pillars, evidence-backed strengths and weaknesses, prioritized recommendations, 50-item checklist appendix. Trigger on "review/score/audit securability", "SSEM scorecard", "FIASSE/SSEM compliance", "where would I start hardening this?", "is this audit-ready?", "security posture baseline" — including phrasings that don't say SSEM explicitly. For requirements use prd-securability-enhancement; for new code use securability-engineering.
Execute a comprehensive, framework-agnostic Security Audit. Detects project type at runtime and adapts security checks accordingly. Analyzes sensitive files, source code secrets, and dependency vulnerabilities. Produces a severity-classified report. Use when the user asks to audit security, scan for vulnerabilities, check for secrets, or assess dependency risks. Triggers on: 'security audit', 'vulnerability scan', 'secret scan', 'dependency audit', 'security check', 'pentest', 'owasp'.
Use when a page ranks for a keyword but isn't in the top 3 and you want to know exactly what's missing. The agent compares the page to the top-ranking competitors and produces a specific list of entities, subtopics, and relationships to add.
Use this skill when auditing SEO, analyzing Core Web Vitals, verifying meta tags, checking structured data, or troubleshooting analytics implementations. Covers Google Search Console, Google Analytics 4, Cloudflare Web Analytics, and technical SEO best practices.
Find, connect, and use MCP tools and skills via the Smithery CLI. Use when the user searches for new tools or skills, wants to discover integrations, connect to an MCP, install a skill, or wants to interact with an external service (email, Slack, Discord, GitHub, Jira, Notion, databases, cloud APIs, monitoring, etc.).
Environment diagnostic skill for SenseNova-Skills project. Checks that sn-image-base is properly installed and configured, validates dependencies and environment variables. Prompts user to configure missing required variables and saves them to .env file. After configuration, reloads environment and suggests agent restart if needed.
Generates a designed portfolio-resume image from resume content provided in conversation text. Extracts optional style instructions, converts the resume into a fixed portfolio-resume layout prompt, and generates the final image through sn-image-base. Use when user asks to create "resume image", "portfolio resume", "简历图", "简历海报", or "个人简历视觉设计".
Screenshot-to-HTML prototype generator with iterative refinement and learning memory. Use this skill whenever the user provides a screenshot, mockup, wireframe, or image of any UI and wants it reproduced as a working HTML prototype — or when they want to modify an existing prototype they previously generated. Also triggers on: "照这个做原型", "参考这个图", "把这个页面画出来", "this UI needs to be prototyped", "replicate this design", "convert this mockup to HTML", "帮我出个原型", "根据截图输出 HTML", or any image attachment combined with requests like "输出 HTML", "做成页面", "帮我实现". Even if the user just sends a screenshot with a brief instruction like "加一个字段" or "这个也一样", this skill applies — it means they want you to modify or replicate the UI shown. When in doubt, if there's a UI screenshot in the conversation, use this skill.
Research current public Splunk sources and use optional existing-auth read-only stack evidence to diagnose SAML, LDAP, roles, capabilities, group mappings, login failures, and access readiness without changing identity configuration or handling credentials.
Draw how any system moves between states, such as a product flow, a protocol, or a service, as a Mermaid statechart from a TLA+ model. Each bug is a numbered path with blue borders to a state that breaks a rule. Use for /statechart, to show a bug as a path through states, or to turn an agreed chart into a TLA+ skeleton.
Terraform task patterns — common workflows and pipeline steps. PROACTIVELY activate for: (1) terraform init/plan/apply/destroy workflows, (2) terraform fmt and validate in CI, (3) workspace management (terraform workspace), (4) remote state backends (Azure Storage, S3, Terraform Cloud), (5) state locking and DynamoDB locks, (6) terraform import for existing resources, (7) terraform refresh and drift detection, (8) -target and -replace use cases, (9) version pinning (required_version, required_providers), (10) tfvars file conventions for environments. Provides: workflow templates, backend configuration examples, state-locking setup, import recipes, and CI pipeline patterns.
Implement production bloom in advanced Three.js scenes. Use for HDR signal ordering, bloom-node controls, dual selective bloom with guaranteed material restoration, scene-relative emissive hierarchy, and effect-isolation diagnostics.
Solve bounded and coastal water in Three.js WebGPU/TSL. Use for parametric waves, local heightfields, bathymetric wave transport, wet/dry shallow water, two-way body coupling, external free-surface presentation, or water optics and offshore handoffs.
Microbiome research using MGnify, GTDB, ENA, OLS (ENVO biomes), EuropePMC, BacDive (strain phenotypes), MediaDive (growth media recipes), and GMrepo (gut microbiome disease-association counts). Covers study discovery, taxonomic profiling, host-microbe interaction analysis, biome-by-condition queries, strain culturing requirements, and phenotype/disease prevalence lookups. Use for microbiome study selection, organism-environment associations, clinical-microbiome literature review, and "how do I grow this organism" / "how prevalent is this species in condition X" questions. Distinct from analytical workflow (use tooluniverse-metagenomics-analysis for that).
Protein-protein interaction (PPI) network analysis — STRING (predicted + experimental), BioGRID (curated), SASBDB (small-angle scattering), Complex Portal (curated complex membership and stoichiometry, includes CORUM data). Distinguishes physical interactions (binding) from functional associations (co-expression, co-regulation). Use for interactome queries, complex partner identification, curated complex composition lookup, and pathway-level interaction analysis
Produce 3D assets with Tripo (tripo3d.ai / Tripo AI by VAST) through its OpenAPI and Studio platform — text-to-3D, image-to-3D, and multiview-to-3D generation; PBR texturing; auto-rigging and preset animation; retopology/low-poly and quad remesh; format conversion (GLB/FBX/OBJ/USDZ/STL/3MF) and engine import (Unity/Unreal/Blender/3D printing). Use when an agent must drive the async task-based Tripo API (create task, poll or webhook, download), choose a model version (v3.0 / v3.1 / P1), write prompts or prepare input images, control mesh/texture parameters, estimate credits and respect rate limits, review generated mesh quality (topology, UVs, poly count, texture fidelity), run iteration and repair workflows, or reason about the rights/licensing of Tripo-generated assets. Trigger on requests to generate, texture, rig, animate, retopologize, convert, or evaluate a 3D model with Tripo, or to integrate the Tripo API into a pipeline. Not for choosing a 3D renderer, editing meshes by hand, or non-Tripo generators.
Create, configure, and manage WhatsApp Business senders via Twilio's Channels Senders API. Covers programmatic sender registration, profile setup, webhook configuration, sender lifecycle statuses, and ISV flows. Use this skill to register and manage production WhatsApp senders at scale.
Asynchronous music, sound-effect, and long-form voice generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs. instrumental and the lyrics optimizer, duration options, seamless loops (ElevenLabs sound effects), voice selection including custom ElevenLabs Voice IDs, language, speed, model capability probing via /models?type=music, pricing models, refunds, and polling.
Use for video-conditioned audio and automated Foley production: adding synchronized sound effects, ambience, impacts, footsteps, cloth, prop, and environmental audio to silent or under-sounded video using video-to-audio models, text-to-sound tools, manual spot lists, editing, rights checks, and QA.
Wang Jianshuo's thinking framework and style of expression. Distilled from 7 in-depth research studies (about 1 million English blog words + about 1.09 million Chinese blog characters, 2002–2022, all primary sources): 7 core mental models, 10 decision heuristics, and a complete bilingual expression DNA. Use to write, respond, and think in Wang Jianshuo's identity and voice—plainspoken, sincere, curious, fond of everyday metaphors and coined terms, repeatedly building bridges between the concrete and the abstract, and never writing about something not personally verified. Trigger when users mention “from Wang Jianshuo's perspective,” “how would Wang Jianshuo see it,” “Wang Jianshuo mode,” “write like Wang Jianshu,” “Jian Shuo Wang perspective,” or “switch to Wang Jianshu.” Also trigger for requests like “help me think about this from Wang Jianshu's perspective” or “how would Wang Jianshu write this.” Once activated, maintain Wang Jianshu's identity in all subsequent replies in the conversation until the user explicitly says “exit”—no need to name it again each turn. Not applicable when users want an objective introduction or factual information about Wang Jianshuo (“Who is Wang Jianshuo?” “What year did he start his business?”); answer normally without role-playing.
Use for semantic work on an existing Iskron graph: closing lifecycles, sense on arrows, splitting kriyas with two actors, re-hooking after distinguishing phenomena — the graph exists structurally but is semantically incomplete. Triggers: «проткать», «прошить», «ткачество», weave, close lifecycle, fix tensions, leaked/relay-gap/orphan, iskron_orient(lens=\"tensions\") shows problems, high tension score on entry. Distinct from design: design creates structure from goals, weaving completes an existing one.
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.