Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Use alongside the `hardhat` skill when the project depends on `@nomicfoundation/hardhat-toolbox-viem`. Covers the viem clients exposed on `network.create()`, contract interaction (`viem.deployContract`, `read`, `write`, `getContractAt`), and `viem.assertions` (revert / event / balance assertions).
E-commerce operations workflow for "high-repeat small goods" stores (cosmetics, phone cases, accessories, small jewelry, daily FMCG). Trigger whenever the user mentions store operations, repeat purchase, acquisition, membership, campaigns, assortment, content/short-form video/live conversion, customer-service SOPs, reviews and post-purchase support, ad ROI, GMV/CVR/AOV/repeat rate, or Taobao/Tmall/JD/Pinduoduo/Douyin/Kuaishou/Xiaohongshu/independent sites—and output executable playbooks and table templates (weekly execution, monthly retrospective), not generic advice.
Iterates toward a goal one measured change at a time, keeping what raises the score and reverting what does not, until a fresh run of the check proves the completion criteria met. Use when the user says "hillclimb", or when the user gives a goal and completion criteria and asks to hillclimb, iterate, or keep going until they pass.
Job search through Hirify - vacancies from the user's saved feeds, search across the board, reading a vacancy in full, the contact to apply to, applying on Hirify, and saved searches with delivery. Use when the user asks to find jobs, look at their feeds, pick roles that fit their profile, apply, or set up alerts. Triggers - "find jobs", "what is in my feed", "where do I apply", "apply to this", "hirify".
Generates a single self-contained static HTML dashboard for a household finance JSON store, with embedded D3.js, inlined data, and six standard panels (net worth over time, monthly cash flow, recurring & subscriptions, goals progress, asset allocation, vigilance feed). Applies cognitive-design principles for visual hierarchy and visual-storytelling-design for narrative annotations. Use when emitting a weekly or monthly finance dashboard, or when user mentions weekly dashboard, household dashboard, finance HTML report, or static dashboard.
Produce a self-contained HTML artifact instead of a markdown document when the content benefits from spatial layout, color, real diagrams, interactivity, or a round-trip editor. Use when the user asks for a "doc," "writeup," "plan," "spec," "report," "explainer," "comparison," "review," "PR description," "mockup," "diagram," "flowchart," "deck," "slides," "status update," "post-mortem," "dashboard," "chart," "playground," or a one-off "editor" or "tool" for triaging, reordering, or tuning something, even without saying "HTML" or "artifact." Also when asked to "explain," "compare," "explore options for," or "walk through" a non-trivial topic. Always use it when the deliverable is an .html file or a web page, even if the user names the file or asks for HTML directly; the skill is how the page gets checked, not just written. Stay in markdown for short replies, code-only answers, terminal-style instructions, and anything the reader will read once and discard.
Huawei Cloud GaussDB distributed database (GaussDB for MySQL compatible edition and GaussDB for openGauss distributed edition) management and diagnosis skill. Provides 12 huawei_* actions across three capability tiers: (1) Query (R3, read-only auto-execute) — list/get instances, list flavors, list databases; (2) Analyze (R3, read-only auto-execute) — deployment-form analysis (shards/readonly nodes/engine version) and security configuration analysis (security group port/SSL); (3) Manage (R2/R1, preview + user confirmation) — create instance, create backup, add readonly node, add sharding node, update database permission, delete instance. Preserves 3 Critical Warnings: shard key is permanent once set, distributed GaussDB requires at least 3 nodes, and MySQL-compatible vs openGauss are separate products with pinned engine versions. Declares hcloud GaussDB CLI dependency; supports both AK/SK credentials and a locally configured hcloud profile. Triggers include: "GaussDB", "分布式数据库", "GaussDB(for MySQL)", "GaussDB(for openGauss)", "openGauss", "sharding", "分片", "添加分片节点", "只读节点", "readonly node", "GaussDB实例", "GaussDB备份", "数据库权限", "部署形态分析", "安全配置分析", "GaussDB诊断", "GaussDB运维", "HTAP", "GaussDB部署检查", "GaussDB安全基线".
Manage Huawei Cloud ModelArts dedicated resource pools (专属资源池) and node pools through full lifecycle operations via hcloud CLI. Covers 53 operations across 10 functional domains: resource pool management, pool nodes, node pool management, network resources, tag management, plugin management, jobs/tasks, scheduled events, OS configuration, and resource flavor/event queries. Includes BSS on-demand pricing inquiry before chargeable operations (create/expand) to inform users of costs. All write operations require user confirmation. Triggers include: "资源池", "专属资源池", "resource pool", "创建资源池", "查询资源池", "删除资源池", "更新资源池", "资源池监控", "资源池节点", "pool node", "节点池", "node pool", "资源池网络", "pool network", "资源池标签", "pool tags", "插件", "plugin", "工作负载", "workload", "定时事件", "scheduled event", "OS配置", "规格列表", "ModelArts resource pool", "manage resource pool", "询价", "pricing", "按需价格", "价格查询".
Detects suspicious Windows service installations (MITRE ATT&CK T1543.003) by parsing System event log Event ID 7045, analyzing service binary paths, and flagging indicators of persistence mechanisms via Sysmon/EDR telemetry. Use when hunting for new-service persistence after a suspected compromise, when Event ID 7045 fires for an unfamiliar service, or during incident response to enumerate service-based persistence on Windows hosts.
Turn a vague idea or feature request into a written, reviewable spec and implementation plan before any code is written. Use when the user says "I want to build X", "help me think through", "I have an idea", or hands over an underspecified request.
Read your Instagram niche and profile from real data via Apify, no login. Scan a hashtag for the posts traveling now (likes, comments, owner) to see the format and hook that works. Pull profile stats for any handle, yours or a competitor's: followers, posts, bio, category. Instagram hides who liked or commented on other accounts, so this is discovery plus profiles, not engagers. Triggers on "what works in my niche", "scan the hashtag", "competitor stats". Not for writing captions (use ig-caption-writer)
Guides implementation of an ISO/IEC 27001:2022 Information Security Management System (ISMS) end to end: gap analysis and scoping, risk assessment methodology, Annex A control selection, Statement of Applicability (SoA) creation, and continuous improvement. Use when scoping a new ISMS, preparing for ISO 27001 certification or audit, or selecting and documenting Annex A controls for a compliance program.
Write a structured incident postmortem or post-incident review. Use when asked to write a postmortem, incident report, P1/P2 review, outage report, or RCA (root cause analysis). Produces a blameless postmortem with timeline, root cause, contributing factors, impact summary, and action items.
Before starting a Ralph RLM loop, interview the user to sharpen the goal, stress-test the design, and write an authored PLAN.md (goal, definition of done, milestones, open questions, invariants) that the loop can follow. Use when a user wants to plan, scope, or stress-test work before delegating it to the supervisor / start_loop, or whenever PLAN.md is still the placeholder bootstrap.
Conventions for the Jev judgment tools. Use when screening fetched or pasted content, verifying claims against evidence, ranking or classifying items by meaning, comparing passages, extracting fields, auditing extracted values, reviewing a patch, gating completion, or judging how likely a proposition is — and when choosing between Jev and rg, curl, or plain reading.
Tailors a CV and cover letter to a specific job description. Use when asked to write a cover letter, tailor a CV or resume, optimise for ATS, match a job description, or prepare a job application. Produces an ATS-optimised tailored CV summary and a personalised cover letter aligned to the role's requirements.
Systematic Kubernetes troubleshooting and incident response. Use this skill whenever the user mentions Kubernetes, K8s, kubectl, pods, containers, or clusters. Triggers include diagnosing CrashLoopBackOff, ImagePullBackOff, OOMKilled, or Pending pods, responding to production incidents, troubleshooting node NotReady or DiskPressure, debugging service connectivity or networking, investigating PVC or storage failures, analyzing performance degradation, checking cluster health, troubleshooting Helm releases, and conducting post-incident reviews.
Review code following Kent Beck's refactoring philosophy and simple design principles. Detects code smells, guides refactoring techniques, and promotes incremental improvement (YAGNI, KISS). Use when reviewing code quality, refactoring, or improving code readability.
Compile one or more OpenViking knowledge bases or document collections into topic-organized, evidence-grounded high-level knowledge, including cross-source findings, trends, changes, drivers, comparisons, implications, and uncertainties. Use with ov compile when the user asks to distill or synthesize a knowledge base, compare multiple collections, or derive higher-order insights such as changes across financial reports; do not use for document-by-document summaries.
ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any code. Covers framework selection (LangChain vs LangGraph vs Deep Agents), agent archetypes, dependency setup, and which skills to load next based on your decisions.
Cross-chain asset transfers via the LayerZero Value Transfer API. Quote, execute, and track bridging of 850 tokens across 170 chains (EVM, Solana, Aptos, TON) using OFT, Stargate, CCTP, and Aori routes. Quote-then-execute workflow with status polling.
Define retention rules and erasure mechanisms (LGPD Arts. 15-16) reconciling subject's right to erasure (Art. 18, VI) with legal retention obligations (fiscal, labor, banking). Use when user asks 'retenção LGPD', 'quanto tempo guardar', 'eliminação de dados', 'soft delete vs hard delete', 'crypto-shredding', 'right to be forgotten'.
Build and preflight submission-ready LaTeX/PDF artifacts for Light stage 11. Use when receiving a paper-writing manuscript, figure delivery, citation delivery.json/references.bib/citekey-audit.json, or a venue/template profile; when selecting pdfLaTeX/XeLaTeX/LuaLaTeX and BibTeX/Biber; when diagnosing LaTeX errors or unresolved references; when checking page limits, double-blind identity, PDF metadata, template, page box, embedded fonts, TODOs, figures, tables, labels and citations; or when producing a reproducible compile manifest, PDF, compliance report, failure bundle and venue-matching handoff. Distinguishes PASS, manuscript ERROR, toolchain UNAVAILABLE and convergence UNRESOLVED without redoing citation authenticity or figure scientific QA.
Structured literature search + synthesis with citation extraction, thematic clustering, and gap identification. Use when user says "find papers on X", "do a lit review", "what's the literature on...", "summarize what we know about...", "where's the gap in this field", "review recent work on Y". Produces a written review with BibTeX-ready citations. Uses WebSearch/WebFetch for recent work.
Runs a local council when no external AI providers are configured. Spawns N independent Claude subagents (one per role, blind to each other) that each answer the question from a single assigned lens, then synthesizes their perspectives. Invoked by the ask command via --local, or when the user accepts the local-council offer after no providers are found. This is a same-model (Claude-only) panel, not a cross-vendor council.
generate an image, create a picture, draw something, make an image of, text to image, paint a picture, illustrate, visualize, local image generation, AI art, image synthesis, offline image generation, no API key, local inference, generate art, create artwork, produce an image, render an image, AI drawing, image from text. Runs Z-Image-Turbo on-device on Windows via Intel OpenVINO. Prioritizes Intel iGPU (Xe / Arc), falls back to CPU. Bilingual prompts (English + Chinese) supported. SETUP requires network: downloads pip dependencies from GitHub and the model (~10 GB) from modelscope.cn. INFERENCE is fully offline after setup - no cloud API calls.
Build a searchable Asta document index from a collection of local PDF files. Use when the user asks to "index these PDFs", "put these PDFs into an Asta index", "index these PDFs using Asta", "build a local paper index", "make these PDFs searchable", or "create an index from these papers".
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.