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Found 8,332 Skills
Search Web of Science by topic, author, title, DOI, or advanced query. Supports edition/database filtering and sort.
One reservation CLI for OpenTable and Tock — search both networks at once, watch for cancellations, book, and... Trigger phrases: `book a table`, `find me a reservation`, `watch for a cancellation`, `tasting menu availability`, `earliest reservation across these restaurants`, `use table-reservation-goat`, `run table-reservation-goat`.
Conventional Commits 1.0.0 + 베스트 프랙티스 워크플로 (diff → staging → type 결정 → secrets blocklist → 사전 체크리스트) + 5 founding principle (atomic / leaves-repo-green / why-over-what / imperative / searchable) + project dialect scaffolding. 커밋을 4 reader (`git log` 스캐너 / `git blame` 추적자 / `git bisect` 사냥꾼 / AI agent — `/clear` 컨텍스트 복원 / PR 리뷰 / changelog 생성 / NL 질의)에게 동시에 도움되는 영구 history로 다룸. 본 파일은 한국어 prose 변형. 룰 자체 (영문 default body, lowercase summary, imperative mood, atomic / why-over-what 등 §0 전 원칙)는 영문 SKILL.md와 동일 — 변형 무관. ALWAYS trigger 조건은 영문 SKILL.md frontmatter §ALWAYS와 동일. Triggers (multi-lingual): EN: commit, git commit, stage, commit message, breaking change, conventional commits, revert, fixup, amend, cherry-pick, changelog KO: 커밋, 깃 커밋, 스테이지, 커밋 메시지, 커밋 룰, 컨벤셔널 커밋, 리버트, 되돌리기, 어맨드, 커밋 컨벤션, 커밋 메시지 검토 JA: コミット, git コミット, ステージ, コミットメッセージ, ブレーキング チェンジ, リバート, アメンド ZH: 提交, git 提交, 暂存, 提交信息, 提交消息, 重大变更, 回滚, 修订 Audience: 한국어를 모국어로 쓰는 개발자. §0 founding principle을 한국어로 먼저 잡고 싶은 사용자에게 적합. §1-§14 룰 자체는 영문 SKILL.md를 정본으로 참조 — 본 변형이 룰을 새로 정의하지 않음.
Use the Alchemy MCP server (`https://mcp.alchemy.com/mcp`) for live blockchain data and admin work when MCP is wired into your AI client and the Alchemy CLI is NOT installed locally. Exposes 159 tools across 100+ chains for token prices, NFT metadata, transactions, simulation, tracing, account abstraction, Solana DAS, and app management. Use for live querying, analysis, admin work, or on-machine agent work — not for application code that ships to production. For application code, use the `alchemy-api` skill (with API key) or `agentic-gateway` skill (without). When the CLI is also installed locally, prefer `alchemy-cli` instead.
Explains how to use skeeper to keep spec artifacts (SPEC.md, ADRs, RFCs, plan/PRD/TechSpec markdown, custom globs) next to the code they describe without polluting main-repo history. Covers strict hooks, the tracked skeeper.lock file, namespaces, sync/verify/fsck, safe drift workflows with diff/hydrate/reconcile/rescue/update, adopt/untrack/pattern, repair, SKEEPER_SKIP, and the GitHub Action. Use when setting up skeeper, configuring a sidecar, syncing/verifying a lockfile, recovering drift or failed syncs, auditing bypasses, or wiring CI. Do not use for general Git hook questions, repos with no .skeeper.yml and no intent to add one, or editing skeeper internals.
Connect to MotherDuck from any application. Use when setting up database connectivity via the Postgres endpoint (recommended), pg_duckdb, native DuckDB API, or JDBC. Covers connection strings, authentication, SSL, and environment variable configuration.
Leverage the market statistics capability of SellerSprite to output a market statistics dashboard by category node, including metrics such as average rating, average price, BSR, sales volume, number of sellers, and new product-related indicators for top Listings. It is suitable for quickly judging the market quality and competitive landscape of a certain category. This skill is triggered when the user mentions category market statistics, market selection dashboard, market foundation assessment, node market quality, top product statistics, SellerSprite market statistics, or category statistics. Even if the user does not explicitly mention "SellerSprite", this skill should be triggered as long as the requirement is to view aggregated statistical results by category node.
从智慧芽(PatSnap)查询专利被引用数据,包括被引用次数和引用专利详情。当用户提到专利被引用、被引分析、专利影响力、引用频次、专利家族被引、前向引用、想了解哪些专利引用了某一专利、patent citations, citation count, patent influence, citation analysis, PatSnap时触发此技能。即使用户未明确提及"智慧芽"或"PatSnap",只要其需求涉及查询某专利被引用次数或被哪些专利引用,也应触发此技能。
This skill leverages SellerSprite's market list selection capability to filter Amazon niche markets based on category dimensions, supporting numerous conditions such as market size, competition intensity, head concentration, seller structure, new product proportion, price/rating/gross margin ranges, etc. It is used to discover accessible markets and evaluate product selection directions. This skill is triggered when users mention Amazon market research, niche category research, market opportunity screening, market concentration analysis, new product opportunities, market selection, SellerSprite market research, or category market research. Even if users do not explicitly mention 'SellerSprite', this skill should be triggered as long as their demand is to filter and evaluate Amazon markets by category dimensions.
LinkFox 包装的领星(Lingxing)ERP 技能「linkfox-lingxing-erp」:由 LinkFox Skills 仓库收录分发,封装领星官方 OpenAPI 文档与脚本用法,底层仍直连 openapi.lingxing.com(非 LinkFox 自建网关)。覆盖约 373 个接口场景,含广告报表 SP/SB/SD、订单与 Listing、库存仓库、财务与 FBA、源表、采购、客服、多平台广告与订单等。当用户提到领星、Lingxing、领星开放接口、领星 ERP 数据、领星广告报表、领星订单/库存/利润、领星 SID、Lingxing OpenAPI、Lingxing ERP data、LinkFox 领星、linkfox-lingxing-erp 时触发。分模块参数见 references/api.md 及各 references/*.md;需 LINGXING_APP_ID 与 LINGXING_APP_SECRET。
基于图片的亚马逊跨站点视觉商品搜索,支持8个站点的以图搜图和视觉相似商品发现。当用户提到以图搜图、图片搜索、视觉搜索、找同款、外观相似商品、图片找货、竞品图片搜索、相似商品发现、image search, Amazon visual search, find similar products, reverse image lookup, visual search, similar items, competitor image search, product image match时触发此技能。即使用户未明确提及"图片搜索",只要用户提供了图片URL并希望在亚马逊上查找匹配或相似的商品,也应触发此技能。
Automated Amazon store report retrieval skill, supporting end-to-end automated acquisition (request → polling → download → decompression) of over 95 report types including inventory reports, order reports, sales and traffic reports, FBA reports, financial settlement reports, etc.; upon completion, it automatically starts a temporary local HTTP service by default and generates an extractedFileHttpUrl for browsers to download the decompressed files. This skill depends on linkfox-amazon-store-auth (authorization and token management). This skill is triggered when users mention pulling Amazon reports, downloading Amazon reports, obtaining inventory reports, obtaining order reports, FBA reports, sales and traffic reports, financial settlement reports, Brand Analytics reports, ABA search term reports, or use phrases like pull Amazon report, download Amazon report, fetch inventory report, fetch orders report, FBA report, sales and traffic report, settlement report, Amazon store report. It should also be triggered whenever users need to retrieve any form of structured data (inventory, orders, sales, finance, returns, etc.) from the Amazon Seller Central.