Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
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Mimeng-style viral article writing techniques. Use when creating articles aiming for 100,000+ reads, emotionally resonant content, storytelling, or commentary on social issues. Covers core techniques such as headline crafting, opening design, emotional engagement, punchline distillation, and storytelling.
财报排雷工具 (Financial Report Minesweeper). Analyzes A-share annual reports for fraud/risk signals using Tang Chao's checklist methodology. Takes a stock code or name as input, fetches structured financial data via Tushare API, optionally downloads the annual report PDF, and runs a systematic 7-layer checklist of 28 risk detection rules. Outputs a formatted checklist report with per-rule verdicts (PASS/WARN/FAIL/SKIP) and an overall risk rating. Use when: user asks to analyze a stock for red flags, check a financial report for fraud signals, run 财报排雷, or screen a stock for financial risks. Trigger phrases: 排雷, minesweeper, 财报分析, 财务造假检测, red flag analysis.
Mini program page design and code generation workflow. Triggers when the user mentions "modify page", "update UI", "add component", "adjust layout", "generate code", or "mini program design". Applies to page design iterations, UI component development, and style adjustments for the TeamVenture mini program.
Fast path for a minimal CloudBase Web + database demo (minimal frontend/backend / minimal viable fullstack / Lovable-like BaaS). Defaults to @cloudbase/js-sdk client CRUD (NoSQL app.database / PG app.rdb), MCP-only schema, preview-first, and forbids cloud functions unless secrets, cron/background jobs, or logic that security rules/RLS cannot express. Use for building a demo, guestbook, Todo, Notes, Kanban, or when users say “with cloud functions + cloud database” but only need CRUD. NOT for production multi-service backends, CloudRun, WeChat Mini Programs, or tasks that truly need server secrets.
Generate, monitor, and download MiniMax-H3 videos through the mmx CLI. Use for H3 text-to-video, first/last-frame video, multimodal reference image/video/audio generation, H3 prompt improvement, media preflight, Pay-as-you-go API key selection, task waiting, downloads, and H3 failure handling.
Python moexalgo library workflows for HI2 DataFrames, .env session.TOKEN setup, Market.hi2, Ticker.hi2, Herfindahl-Hirschman concentration, hhi_* metrics, daily EQ/FO/FX concentration analysis, offset pagination, pivots, groupbys, interpretation bands, and missing-row caveats.
Python moexalgo library workflows for Market and Ticker market data, .env session.TOKEN setup, pandas DataFrames, tickers metadata, marketdata quotes, info, candles, trades, orderbook, market aliases, board overrides, field selection, offset pagination, native-mode escape hatches, and basic EQ/FO/FX data analysis.
Python moexalgo library workflows for Mega Alerts DataFrames, .env session.TOKEN setup, Market.alerts, Ticker.alerts, alert_type analysis, threshold and value comparison, reference JSON parsing, EQ/FO anomaly alerts, offset pagination, groupbys, pivots, and historical post-alert context.
Python moexalgo library workflows for SuperCandles DataFrames, .env session.TOKEN setup, Market.tradestats, Market.orderstats, Market.obstats, Ticker.tradestats, Ticker.orderstats, Ticker.obstats, field interpretation, offset pagination, pivots, groupbys, and EQ/FO/FX analytics.
Build or modify apps with $mol/MAM and related stack. Use when the user asks how to do something in $mol (view.tree, view.ts, css.ts), how to structure a MAM module, how to connect Giper Baza, how to build/admin apps on Giper Baza, or how to package/run with Tauri. Triggers include queries like "как на моле сделать …", "$mol view.tree", "MAM структура", "Giper Baza CRUD/roles/auth", "админка на Giper Baza", or "Tauri + $mol".
Converts SMILES strings or RDKit/datamol molecules into numerical features using molfeat (0.11.0), which provides calculators, scikit-learn compatible transformers, and pretrained embedding models. Covers fingerprints (ECFP, MACCS, MAP4), RDKit and Mordred descriptors, pharmacophore descriptors, and pretrained models such as ChemBERTa and GIN, with parallel processing and caching. Use when building QSAR or QSPR models from SMILES. Use when choosing among molecular featurizers for a property prediction task. Use when generating embeddings for virtual screening, similarity search, or chemical space clustering. Use when adding a featurizer to a scikit-learn pipeline. Not for general cheminformatics tasks such as reading or editing structures, which belong to RDKit itself.
Molten OS Core — guide brand, positioning, persona, messaging, and voice discovery, then produce `molten-docs/brand/brand.md`. Use for brand guide, brand.md, positioning brief, or product brand strategy. Do not use for visual design systems or `design.md`; use molten-design after brand.md exists.
Use when asked about "pricing strategy", "willingness to pay", "value metric", "packaging tiers", "good better best pricing", "subscription vs usage pricing", or "price before product". Helps design products customers will pay for and choose pricing models that capture value. Based on Madhavan Ramanujam's Monetizing Innovation framework from Simon-Kucher.
Query Web3 blockchain data from Moralis API. Use when user asks about wallet data, token data, NFTs, DeFi positions, entity labels, blocks, transactions, Universal multi-chain data, or Bitcoin address/xpub data. Supports EVM, Solana, Universal, and Bitcoin paths. NOT for real-time streaming - use moralis-streams-api instead.
Expand an image-generation request into a detailed MOSS-Image caption or spatial layout, and compile a local JSON draft into a ready-to-paste prompt. Use for prompt enhancement, image composition and text placement; this skill does not generate images.
Create test users and add funds to them for Mercado Pago testing. Wraps create_test_user and add_money_test_user from the MCP. Clarifies that credentials come in APP_USR- (Orders API, Checkout Pro, Point, QR) and TEST- (Checkout API, Bricks, Payments API) formats — both are valid and actively issued.
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, fresh Claude) for second opinions when stuck on bugs or making architectural decisions. Use when: debugging attempts have failed, making significant architectural choices, security concerns, or need fresh perspective. Automatically suggests consultation after one failed attempt. Provides synthesis comparing multiple AI perspectives with web research, thinking mode, and repo-aware analysis.
Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling us'. Produces ranked insights with confidence ratings, source weighting rationale, divergent signal analysis by user segment, and a research gap identification section.
View your personal task history and status on OpenAnt. Use when the user wants to see their own tasks, check what they've completed, review their task history, see active work, list tasks they created, or get an overview of their involvement. Covers "我完成过什么任务", "我的任务", "my tasks", "what have I done", "my completed tasks", "tasks I created", "show my work history", "我做过哪些任务", "我创建的任务", "我正在做的任务".
Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on their own server/VPS/box (Hetzner, DigitalOcean, AWS EC2, bare metal, etc.) — in either single/regular mode or queue mode with workers — or to update, back up, restore, or harden such an instance. This is for SELF-HOSTED n8n (Docker), not n8n Cloud and not building workflows. The skill makes the agent ask single-vs-queue first, collect the domain/SSH/timezone inputs, generate fresh secrets on the box, and bring the stack up with TLS. Trigger on "deploy n8n", "self-host n8n", "install n8n on my server", "n8n docker compose", "n8n queue mode / workers / scaling", "n8n reverse proxy / SSL", "back up / update my n8n", or "we don't want to give every user the OAuth client secret" / "enable the Sign in with Google button" (credential overwrites).
A structured migration workflow for moving native mini program projects to `weapp-vite + wevu + Vue SFC`, covering phased rollout, behavior-equivalent conversion, typed props/events migration, platform guards, plus migration-oriented e2e verification and rollback checkpoints. Use for scenarios such as "migrating native to weapp-vite", "setData refactoring", "migration rollback strategy", or "how to test migration e2e".
Implicit use requires an explicit or already-established Nature Portfolio context. Design multi-source scholarly searches, literature maps, search strategies, citation-network or independent-citation audits, deduplicated evidence tables, and field-level verification of existing bibliographies. Within that scope, use for 文献检索、综述检索、MeSH、查论文、核对参考文献, systematic discovery, ref checks, or bibliography cleanup. Do not use to attach sources to drafted claims (nature-citation), download full text, or run alerts.
Use this to pull a specific figure, fact, quote, or table value out of a collection of documents and cite the exact source file and page. Built for question-answering over a folder of reports — annual reports, 10-Ks and financial filings, research PDFs, scanned forms / images (`.jpg` `.png` `.tiff`), Office (`.docx` `.pptx`), HTML / TXT, audio, and video. It indexes the whole corpus once, then finds the right document among many and returns the value with its page number — useful when several documents or figures look alike and you need the correct one, not a near-match. Reach for it instead of reading or grepping PDFs one at a time. Not for: editing files, web browsing, a single plain-text file, fine-tuning.
NextAuth.js authentication for Next.js. Covers providers, sessions, and callbacks. Use for Next.js authentication. USE WHEN: user mentions "NextAuth", "Next.js auth", "Auth.js", asks about "Next.js authentication", "App Router auth", "next-auth", "authentication providers" DO NOT USE FOR: generic OAuth (use oauth2 skill), JWT implementation (use jwt skill), non-Next.js projects, Express/Fastify auth
Cuts and automates npm releases - Changesets, semantic-release or release-please, npm trusted publishing (OIDC) with provenance, the first-publish bootstrap, staged publishing, changelogs and tags. Use when the user asks to release, version, publish to npm, or remove tokens from publish workflows. Not for package exports/bundling artifacts or verifying dependency provenance.
Search, read, and write Notion pages, databases, and blocks. Use this whenever the user wants to find a page in Notion, read a database, add a row, create or append content to a page, or asks "what's in my Notion" — even if they don't say "API". Also use it for any URL under notion.so or a mention of a Notion page/database ID. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
AI companion-style long-form novel writing assistant, combining WPS notes for continuous, memory-aware, context-aware creation without continuity errors. Triggers: help me write a novel, I want to write a novel, continue the novel, write the next chapter, I have a story idea, help me create. Core capabilities: cold-start profiling (worldbuilding + character settings + AI image generation), chapter-by-chapter writing, automatic review of prior text each time to prevent continuity errors, archiving in WPS notes throughout. Not applicable to: short stories, essays, poetry and other non-long-form-novel creation.
Compare two or more npm packages side by side using live data — downloads, bundle size, GitHub stars, last update, known vulnerabilities, and community sentiment. Use this skill when a user asks 'zustand vs jotai vs redux', 'compare react-query and swr', 'which state management library should I use', 'what's the difference between X and Y', 'is X better than Y for my use case', 'help me choose between these packages', or any request to compare npm packages or decide between JavaScript libraries.
Design and audit observability cost governance across logs, metrics, traces, events, profiling, session replay, analytics, retention, sampling, cardinality, dashboards, alerting, ownership, privacy redaction, budgets, and incident usefulness. Use when telemetry spend grows or observability needs to stay useful, safe, and cost-efficient.
Deploys infrastructure on Oracle Cloud Infrastructure (OCI) with ARM64 instances (Always Free tier eligible). Handles compartments, VCNs, subnets, security lists, and compute instances. Use when: setting up Oracle Cloud infrastructure, deploying ARM64 instances, troubleshooting OUT_OF_HOST_CAPACITY errors, optimizing for Always Free tier. Keywords: oracle cloud, OCI, ARM64, VM.Standard.A1.Flex, Always Free tier, OUT_OF_HOST_CAPACITY, oci compartment, oci vcn
Off-page SEO analysis and strategy expert. Analyzes backlink quality and quantity, competitor backlink strategies, brand mentions, social signals and more. Provides 9 link-building strategies (guest blogging, broken link building, skyscraper technique, HARO, industry directories, brand mentions, image backlinks, social signals, backlink tracking). Includes backlink quality assessment criteria, a tracking management system and an actionable plan.
Okta-as-IdP red-team attack chain — tenant discovery, user enumeration (multiple vectors), authentication flow analysis (factors enumeration, push-notification fatigue, SMS bypass), password spray with lockout discipline, Okta-specific phishing primitives (kits, FastPass abuse, OIDC redirect_uri tampering), MFA enumeration, post-compromise admin API surface. Many enterprise orgs use Okta instead of (or alongside) Entra ID. Distinct endpoints, distinct rate-limiting, distinct factor flows. Use when recon shows `<tenant>.okta.com`, `<tenant>.okta-emea.com`, `<tenant>.oktapreview.com`, or autodiscover-style records pointing at Okta IdP.
Drive a PR or branch to green CI. Reads check status through tracker operations, pulls failed-step logs, classifies each failure (real bug, test bug, flake, infra), fixes the real ones in an isolated worktree with tests, pushes, and re-checks — iterating until every required check passes or a genuine blocker is reported. Never goes green by weakening tests or disabling checks.
Reconcile recently merged (and recently closed-but-not-merged) PRs with the issue tracker — auto-close issues they authoritatively fix via `fixes`/`closes`/`resolves` keywords or `closingIssuesReferences`, and post informational comments on issues whose PRs were closed without merging. Use for post-merge housekeeping and release prep. Respects claim locks.
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.