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Found 5,523 Skills
Perses variable lifecycle management: create Text and List variables at global, project, or dashboard scope. Handle variable chains with dependencies (A depends on B depends on C). Supports 14+ interpolation formats. Uses MCP tools when available, percli CLI as fallback. Use for "perses variable", "dashboard variable", "perses filter", "add variable". Do NOT use for datasource management (use perses-datasource-manage).
Perform advanced search on CNKI with field filters like author, title, journal, date range, source category (SCI/EI/CSSCI/北大核心). Use when user needs precise filtered search beyond simple keywords.
Apply when working with GraphQL schema files in graphql/ or implementing resolvers in node/resolvers/ for VTEX IO apps. Covers schema.graphql definitions, @cacheControl and @auth directives, custom type definitions, and resolver registration in the Service class. Use for exposing data through GraphQL queries and mutations with proper cache control and authentication enforcement.
CCDB Carbon Emission Factor Search Tool. Based on Carbonstop's CCDB database, query carbon emission factor data via ccdb-mcp-server. Supports keyword-based carbon emission factor search, retrieval of structured JSON data, and multi-keyword comparison. **Use this Skill when**: (1) Users query carbon emission factors (e.g., "power emission factor", "cement carbon emission", "natural gas emission coefficient", etc.) (2) Users need to calculate carbon emissions (require querying factors first then multiplying by activity volume) (3) Users need to compare carbon emission factors of different energy sources/materials (4) Users mention "CCDB", "carbon emission factor", "emission coefficient", "carbon footprint", "LCA", "emission factor" (5) Need to query carbon emission factor data for specific countries/regions and specific years
SuprSend CLI is a command-line interface tool for managing your SuprSend account and resources. It provides a convenient way to interact with the SuprSend API, allowing you to perform various operations such as managing workspaces, users, workflow, templates and more.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.
Enforces spec-before-code workflow for AI-driven development. Automatically selects Spec-Kit or OpenSpec mode, triages complexity (quick/standard/thorough), recovers session context, and applies quality gates (G0-G4) with automated review loops at every stage. Use this skill whenever the user says "/super-spec", "spec first", "规范先行", or starts any feature, bugfix, or refactor — especially in projects with .spec-mode, .specify/, or openspec/ directories. Even if the user doesn't explicitly ask for spec-driven workflow, activate this skill for any non-trivial code change to prevent skipping the design phase. Orchestrates: Spec-Kit/OpenSpec (OPSX) + planning-with-files + ui-ux-pro-max (v2.0, 67 styles, 161 palettes, 13 stacks) + Superpowers (TDD, code review, verification, debugging, spec/plan review loops, subagent model selection).
Interact with Google NotebookLM notebooks — chat with the AI, generate artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables), manage sources (add URLs, YouTube, files, text), run research (fast/deep web research), and manage notes. Use when the user wants to query, create content from, or manage their NotebookLM notebooks and sources.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
Track which stacks use a specific Pulumi package and at what versions, or upgrade a stack to the latest version of a package. Use when users ask about package version tracking, outdated package versions across stacks, upgrade candidates, or package usage audits. Also use when users want to upgrade/update a specific package version in a stack or project. Do NOT use for general infrastructure creation, resource provisioning, or questions about how to use a package.
Create, update, and review Terraform provider documentation for Terraform Registry using HashiCorp-recommended patterns, tfplugindocs templates, and schema descriptions. Use when adding or changing provider configuration, resources, data sources, ephemeral resources, list resources, functions, or guides; when validating generated docs; and when troubleshooting missing or incorrect Registry documentation.
Learn to implement Syncfusion WinUI NumberBox (SfNumberBox) control for numeric input with validation, custom formatting, and value restrictions. Use this skill when you need numeric input fields with currency, percentage, or decimal formatting in WinUI applications.