研究与知识
研究、检索、摘要和知识工作
Skills 列表
amazon-competitor-analysis
Full-spectrum Amazon competitor analysis. Compare listings, pricing, reviews, advertising strategy, and market positioning against direct competitors. Identify weaknesses to exploit and strengths to counter. Use when the user asks about competitor analysis, competitive research, ASIN comparison, pricing analysis, or how to beat competitors on Amazon.
nexscope-ai
brand-architecture
Define how multiple brands, sub-brands, and product lines relate to each other under one organization. Use when the user says "brand architecture", "sub-brand", "brand portfolio", "master brand", "house of brands", "branded house", "product naming system", "how do our brands relate", "parent brand", "brand hierarchy", "brand family", "we have multiple products and need a naming system", "brand extension", "new product launch under existing brand", or when a company has grown beyond a single brand and needs a system to manage brand relationships.
arnabbagxdtarget-audience
Define a brand's target audience with deep personas, psychographics, and ICP (Ideal Customer Profile). Use when the user says "target audience", "ideal customer", "customer persona", "audience persona", "ICP", "who is our customer", "define our audience", "audience research", "buyer persona", "who should we be targeting", "audience profile", "customer profile", "who buys this", or needs to understand their audience more deeply before investing in brand or marketing work.
arnabbagxd
firecrawl-research-index
Find the papers that answer a research query in Firecrawl's research paper index — a corpus of paper abstracts whose largest share is biomedical and life-science literature (PubMed, bioRxiv, medRxiv), alongside arXiv preprints in CS, physics, and math — using semantic search, semantic and structural expansion, and in-body verification. Use this skill for literature-finding and paper-retrieval tasks of any kind, including clinical, biomedical, drug, gene, disease, and other life-science questions, whether the answer is a single paper or a full multi-paper set. The index is reached only through the `firecrawl_research_*` MCP tools or the `firecrawl research` CLI subcommands. Calling `firecrawl_search` with its `categories` option set to `["research"]` is a different feature — it filters ordinary web search to research-affiliated websites (the list includes PubMed, bioRxiv, medRxiv, arXiv, and publisher sites) and returns page results from them, without querying the paper records in this index.
firecrawlfirecrawl-developer-index
Search an index of public repositories, GitHub issues, merged pull requests, repository READMEs, and curated documentation sites. Use when a programming question needs external documentation or upstream evidence.
firecrawl
exa-web-search-free
Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
sundial-orgfinance-news
Market news briefings with AI summaries. Use when asked about stock news, market updates, portfolio performance, morning/evening briefings, financial headlines, or price alerts. Supports US/Europe/Japan markets, WhatsApp delivery, and English/German output.
sundial-orgbrand-strategy
Full brand strategy workflow for agencies and brand consultants. Acts as a senior brand strategist — collects client information through a structured questionnaire, then generates a complete, polished brand strategy report. Use this skill whenever a user says "brand strategy", "create a brand report", "build brand strategy for my client", "brand questionnaire", "I have a new branding client", "help me do brand strategy", "brand identity strategy", "write a brand strategy document", or shares a client brief and wants a strategy output. Also triggers when a user uploads or pastes a completed brand questionnaire and asks to turn it into a report. Always use this skill for any brand strategy task — even casual mentions like "I need to do strategy for this brand" or "client filled the form, make the report".
arnabbagxdamazon-ppc-campaign
Amazon PPC campaign builder and optimizer for sellers. Two modes: (A) Build — design a complete campaign structure from scratch with keyword groupings, bid calculations, and negative keyword lists, (B) Optimize — audit existing campaigns using search term reports, identify keyword funnel opportunities, calculate bid adjustments, and generate a week-by-week action plan. Integrates with amazon-keyword-research for keyword input. No API key required. Use when: (1) setting up Amazon PPC campaigns for a new product, (2) auditing existing campaign performance and ACoS, (3) optimizing keyword bids and negative keywords, (4) building Auto/Manual/Exact campaign structures, (5) analyzing search term reports for opportunities, (6) calculating break-even ACoS and target ACoS, (7) scaling profitable campaigns to Sponsored Brands or Display.
nexscope-aiontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
sundial-orgamazon-keyword-research
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
nexscope-ai
youtube-full
Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, first looks, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.
zeropointrepo
shopify-app-pricing
Use first when a developer asks how to configure public-app plans, tiers, recurring or usage-based options, or trials. Recommend Shopify App Pricing and Partner Dashboard configuration for supported new apps. Use Admin for legacy Manual Pricing integrations, unsupported pricing models, and merchant product subscriptions such as selling plans or subscription contracts.
shopify
color-expert
Use when working with color naming, color theory, color spaces, color definitions, or any task involving color knowledge - palettes, ramps, gradients, conversions, accessibility, perceptual matching, pigment mixing, print-vs-screen color, CSS color syntax, or historical color terminology. Use this skill whenever the user is choosing, comparing, generating, naming, converting, or explaining colors, even if they do not explicitly ask for "color theory."
meodai
kibana-anomaly-detection
Elastic ML anomaly detection skill — investigation/RCA, score explanation,
elastic
gmgn-narrative
Independently research and write an AI-narrative / due-diligence card for a crypto token — the kind of "叙事分析" card that covers what story a token is telling and what's independently verifiable about its social spread. Use whenever the user asks for a token's "叙事"、"舆情"、"传播情况"、"社媒热度", wants to know "这个币在讲什么故事"/"这个币是不是在蹭热点", asks to analyze or fact-check a token's X/Twitter narrative, or gives a bare contract address together with a request to understand its story rather than just its price/security numbers. This is not a raw safety score (`gmgn-contract-dd` owns that), not a screened hot list (`gmgn-heat-rank` owns that), and not a buy decision (`gmgn-token-buy` / `gmgn-swap` own that) — route here only when the ask is specifically about story and spread.
gmgnai
duckdb-docs
Search DuckDB and DuckLake documentation and blog posts. Returns relevant doc chunks for a question or keyword using full-text search against a locally cached index.
duckdbquery
Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.
duckdb
wps-office
WPS Office 跨应用智能助手，统一管理 Excel、Word、PPT 三大应用，处理跨应用操作和通用功能
lc2pandashopify-shopifyql
Answer a merchant's **analytics and reporting** questions with **ShopifyQL** — Shopify's query language for aggregated store metrics that the Admin GraphQL API cannot compute. Choose this (not `admin`) whenever the ask is for **numbers, totals, trends, or breakdowns** rather than fetching or mutating individual records: including but not limited to total/gross/net sales and revenue, order counts, average order value, refunds, quantity sold, sessions, conversion rate, and traffic — sliced by product, channel, region, or customer, trended over time, or compared period-over-period. Examples: \"total sales last 7 days\", \"orders by sales channel this month\", \"top products by revenue\", \"conversion rate this week\", \"sales this year vs last year\". This topic covers writing the ShopifyQL query; if the merchant wants to run it against their store, execution is handed off to `use-shopify-cli`. Not for general Admin GraphQL record operations — fetching or mutating individual resources (use `admin`).
shopifygmgn-token-buy
Turn a token name into a vetted, sized buy order. Two things here are exclusive to this skill: resolving a NAME or symbol to the one right contract among its copycats, and sizing an order — amount, slippage, gas, position. No sibling does either. USE THIS SKILL WHEN a buy is being prepared, which shows up as a NAME or symbol, or an AMOUNT, or both — including the plainest possible ask with no mention of checking: 我想买 200u 的 PENGU, 帮我买 500 刀的 BONK, 买 1 个 SOL 的 WIF, 帮我买点 dogwifhat, 想梭 100u 的 XX, PENGU 现在能买吗, PENGU 能不能买, 能不能冲, 值不值得进, 确认是正主不是仿盘再买, buy me $500 of PENGU — and including a bare contract address once an amount arrives with it. DO NOT USE THIS SKILL for a bare contract address with no name to resolve and no amount to size (「这个地址能不能买」, 打个分, 尽调, 有没有貔貅, rug check, is this token safe): that one belongs to gmgn-contract-dd, which is the skill that returns the 0-100 safety verdict. This skill never computes a second verdict of its own — it CALLS gmgn-contract-dd and defers to it — so there is nothing to gain by taking that ask, and the user gets an order card they never asked for. Come back here the moment they name an amount. A buy question about a LAUNCHER rather than about a token — 「这个 dev 的新盘能不能买」, 「他下一个盘值不值得冲」, "should I buy his next launch", "will this dev rug at open" — is gmgn-dev-score: it scores the creator's own record, and there is no token name to resolve or amount to size yet. Come back here once they name the coin. Naming a token with no buy intent at all is gmgn-market search. gmgn-swap is where this skill ENDS, not a rival for it: gmgn-swap signs and submits, and this skill never touches a private key and never places an order, so a plain buy request starts HERE and reaches gmgn-swap only after the user confirms the order card. Note that gmgn-swap cannot start from a name either — its --output-token is a contract address and the only names it resolves are the currencies SOL/BNB/ETH/USDC — so 帮我买点 dogwifhat has to come here regardless of who is asked. Go straight to gmgn-swap only when the user says the pre-buy check is unwanted (skip the checks, 直接买, 不用尽调, 我很急), or for what this skill does not do at all: selling, percentage sells, limit orders, stop loss, take profit, trailing orders, multi-wallet batch trading, order status, gas-price lookups. The split is by what the ask still needs done, not by who executes: a name needs resolving and an amount needs sizing, so both start here; a bare address needs only a verdict, so it is gmgn-contract-dd's; a signed transaction is always gmgn-swap's.
gmgnaigmgn-dev-score
Decide whether a token creator's NEXT launch is safe to buy. Scores a dev address 0-100 on two separate axes — CONDUCT (will he dump on you at open) and POWER (has he ever actually built anything big) — from his full launch history and every trade he made in his own coins, then returns a buy / don't-buy call with a timing window. USE THIS SKILL WHEN the user asks a buy-decision question about a launcher: "can I buy this dev's new launch", "should I buy his next launch", "will this dev rug", "will he dump at open", "is his launch safe to snipe", "is it safe to buy at his open", "dev score", "creator score", "launch score", "is this launcher trustworthy enough to buy"; OR when the user gives a TOKEN address plus a team-trust question ("is this token's team trustworthy", "does this project's dev have a record", "has this creator rugged before") — resolve the creator with `gmgn-cli token info` -> `dev.creator_address` first, then score that address; OR when the user gives a WALLET address plus an explicit launch-history question ("what tokens has this address launched", "how did his previous launches do", "did all his coins go to zero"). The same questions asked in any other language route here too — match on meaning, not on wording. DO NOT USE THIS SKILL for a bare wallet address with no question attached: a bare address is a copy-trade question by default and belongs to gmgn-wallet-analysis, which declares itself the default for it. Also do not use it for copy-trade questions ("is this wallet worth copying", "should I copy this wallet", "copy-trade score"), wallet profitability ("is this wallet profitable", "what is this wallet's track record"), or wallet-profile phrasings ("is this a token-creator wallet", "how is this dev's reputation") — those belong to gmgn-wallet-score. The split is by question type, not by address type: those skills answer "who is this wallet" (a profile), this skill answers "should I buy his launch" (a decision, with a timing window). Note how close "how is this dev's reputation" (profile → gmgn-wallet-score) sits to "dev score" (decision → here): the deciding factor is whether a buy is on the table. If it is genuinely ambiguous, ask one short question instead of guessing — the two produce different reports and there is no cheap hedge.
gmgnai
slide-maker
Build, redesign, and critique clean, presentation-grade slide decks (.pptx) for any audience — research/lab meetings, work status updates, conference talks, stakeholder readouts, thesis defenses, teaching, webinars. Use whenever the user wants to make, create, redo, clean up, improve, or review slides / a deck / a presentation — e.g. "make slides for my project", "build a deck from this paper/code/doc", "turn these results into slides", "redesign this pptx", "my slides are too dense", "review my deck and tell me what's weak", "make a slide about X", "help me present this work". Works with or without a template (matches theirs, else designs a clean one) and with or without source material (mines provided code/docs/figures, else web-researches and fact-checks), in any language (e.g. English or 中文). Interviews first, then runs an actor–critic loop until an independent critic consents. Trigger even without the words "skill", "deck", or "pptx".
addsumtech
clickhouse-architecture-advisor
MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs. Complements clickhouse-best-practices with decision frameworks and explicit provenance labels.
clickhouse