Loading...
Loading...
Found 415 Skills
Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.
Etsy category data. You can retrieve category names, ids, and parentIds, which are used as category identifiers for product/shop filtering. This skill is triggered when users mention Etsy categories, Etsy category id, Etsy category tree, Etsy category query, syncEtsyCategory, or category query. Even if users don't mention the tool name, this skill should be triggered as long as they are searching for category ids by keywords in the locally synchronized Etsy category database.
Bulk-regenerate broken test selectors after a UI refactor or redesign. Detects drift between old and new DOM with an aria-snapshot diff, maps old locators to new equivalents using role-first + region scoping, validates against the new build, and produces a single PR with grouped per-file selector updates and per-change evidence. Assumes Playwright >= 1.50 (trace viewer DOM-snapshot panel, getByRole filtering, ariaSnapshot). Use when: "UI refactor broke tests," "redesign broke tests," "bulk update selectors," "regenerate selectors after refactor," "selector drift," "fix N broken tests after redesign." Not for: healing one flaky test at runtime — use test-reliability. Not for: writing a new test suite from scratch — use playwright-automation. Not for: re-recording tests after a framework switch (Selenium to Playwright) — use test-migration. Related: test-reliability, playwright-automation, test-migration, ci-cd-integration, visual-testing.
Integrates the SAP Cloud SDK for AI for Python (sap-ai-sdk-gen, formerly generative-ai-hub-sdk) into Python applications. Use when building Python apps with SAP AI Core, Generative AI Hub, or the Orchestration Service: chat completion, embeddings, streaming, LangChain integration, templating, content filtering, data masking, and document grounding. Supports OpenAI GPT models, Llama, Gemini, Amazon Nova, and other foundation models via SAP BTP.
Expert guidance for architecting and troubleshooting Adobe Workfront Planning (WFP, also called "Maestro"): workspace and record-type design, record connections and hierarchies, formula fields, object and connection limits across Select/Prime/Ultimate tiers, the Planning API (filtering, bulk actions, workspace builds), Fusion, AI Assistant, GenStudio, Canvas Dashboards, views, access/licensing, and request forms. Use this skill whenever the user asks about Workfront Planning or Maestro: designing or building a workspace, connecting record types, fixing a broken formula, hitting or asking to raise a limit (such as the 500 connected-records or 25,000 records-per-type caps), tier and capacity questions, filtering records through the API, choosing an automation surface, or reconciling Adobe's public docs against actual API behavior. Also trigger for "build me a Planning workspace", "why is my formula failing", "what's the max records per type", or "Select vs Prime vs Ultimate limits".
Manage Todoist tasks, projects, sections, labels, and filters via REST API v2. Supports task CRUD, due dates, priorities, recurring tasks, project organization, and advanced filtering. Based on doggy8088/agent-skills/todoist-api, using curl + jq.
Produce the smallest user-facing report that preserves every material fact about a task outcome, by classifying the terminal state, comparing it against the contract, filtering activity out, and checking that no material fact was lost to compression. Use this skill at a task boundary — when work is complete, partial, blocked, or failed — whenever the user asks what the outcome was or for a summary of what was accomplished, and whenever an execution run ends and its result must be communicated. Reports consequences and evidence, never the execution trajectory.
Security audit tool for CodeIgniter framework. Conducts white-box static audits on CodeIgniter's mechanisms such as CSRF, XSS output filtering, database query construction, routing and validator configuration, session Cookie security, etc., and maps them to a common vulnerability type system (CSRF/AUTH/XSS/SQL/CFG/SESS, etc.).
飞书电子表格:创建和操作电子表格。创建表格并写入表头和数据、读取和写入单元格、追加行数据、在已知电子表格中查找单元格内容、导出表格文件。当用户需要创建电子表格、批量读写数据、在已知表格中查找内容、导出或下载表格时使用。若用户是想按名称或关键词搜索云空间里的表格文件,请改用 lark-doc 的 docs +search 先定位资源。
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.
Scan the codebase for potential secret leaks including API keys, tokens, passwords, hardcoded project IDs, and sensitive identifiers. Use when the user says "check for secrets", "scan for leaks", "security check", or before committing sensitive changes.
按ASIN获取并分析亚马逊商品评论,支持15个站点(含美国站),按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review analysis, positive review analysis, star rating filter, review sentiment analysis, product improvement insights, Vine reviews, competitor reviews, customer feedback时触发此技能。即使用户未明确说"评论",只要其需求涉及读取、筛选或分析亚马逊商品的买家评论,也应触发此技能。