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Found 2,181 Skills
Access SETI (Space Exploration Telecommunications Infrastructure) APIs. This skill provides Ruby SDK examples.
Code-first Netra best-practices playbook covering setup, instrumentation, context tracking, custom spans/metrics, integration patterns, evaluation, simulation, and troubleshooting.
Sets up and operates Airbyte Agent Connectors — strongly typed Python packages for accessing 51+ third-party SaaS APIs through a unified entity-action interface. Supported services include Salesforce, HubSpot, Stripe, GitHub, Slack, Jira, Shopify, Zendesk, Google Ads, Notion, Linear, Intercom, Gong, and 36 more connectors spanning CRM, billing, payments, e-commerce, marketing, analytics, project management, helpdesk, developer tools, HR, and communication platforms. Make sure to use this skill when the user wants to connect to any SaaS API, install an airbyte-agent connector package, integrate third-party service data into a Python application or AI agent, query or search records from any supported service, or configure Airbyte MCP tools for Claude. Covers Platform Mode (Airbyte Cloud) and OSS Mode (local Python SDK).
Extract a complete design system from an existing website or screenshot into a DESIGN.md file. Analyses colours, typography, component styles, spacing, and atmosphere through browser automation and HTML inspection. Produces a semantic design system document optimised for consistent page generation. Triggers: 'extract design system', 'design system', 'create DESIGN.md', 'analyse the design', 'what design does this site use', 'extract styles from', 'reverse engineer the design'.
Build terminal UIs with Charmbracelet (Bubble Tea, Lip Gloss, Gum). Use when: Go TUI, shell prompts/spinners, "make CLI prettier", adaptive layouts, async rendering, focus state machines, sparklines, heatmaps, kanban boards, SSH apps.
Automated CLI-based parallel agent execution — spawn subagents via Gemini CLI, coordinate through MCP Memory, monitor progress, and run verification
Generate production-ready Dockerfile for any GitHub project. Supports monorepo, multi-stage builds, workspace detection, and iterative build-fix cycles. Use when user asks to create, generate, write, fix, or improve a Dockerfile, wants to containerize an application, mentions Docker build issues, needs a .dockerignore, or wants to package their app as a Docker image. Also triggers on "/dockerfile".
Firecrawl produces cleaner markdown than WebFetch, handles JavaScript-heavy pages, and avoids content truncation. This skill should be used when fetching URLs, scraping web pages, converting URLs to markdown, extracting web content, searching the web, crawling sites, mapping URLs, LLM-powered extraction, autonomous data gathering with the Agent API, or fetching AI-generated documentation for GitHub repos via DeepWiki. Provides complete coverage of Firecrawl v2.8.0 API endpoints including parallel agents, spark-1-fast model, and sitemap-only crawling.
Manages git operations (branching, committing, pushing) across multi-repo systems with git submodules. Use this skill whenever the user wants to create a feature branch, commit changes, push code, sync submodules, or manage branches across the parent repo and service repos. Also use when implementing BMAD stories that touch one or more services, or when the user asks about git workflow in a multi-repo project. Triggers on phrases like "create branch", "commit changes", "push to remote", "sync submodules", "start working on story", "update service branch", or any git operation that spans parent and submodule repos.
Interact with Atlassian Jira and Confluence using REST APIs — no MCP server needed. Use this skill whenever the user mentions Jira, Confluence, Atlassian, tickets, issues, sprints, backlogs, epics, stories, or any project management task that involves creating/editing/searching/transitioning Jira issues, writing or reading Confluence pages, generating status reports, triaging bugs, converting specs to backlogs, capturing tasks from meeting notes, searching company knowledge, syncing local BMAD documents with Jira or Confluence, pushing docs to Jira, pulling from Jira, linking documents to tickets, downloading Confluence spaces to local markdown, or converting between Confluence storage format and markdown. Also trigger when the user says things like "move that ticket to done", "what's the status of PROJ-123", "create a bug for X", "search our wiki for Y", "file a ticket", "check for duplicates", "write a status update", "break this spec into stories", "sync this doc", "push to jira", "pull from jira", "sync to confluence", "link this to jira", "sync my epics", "download confluence pages", "sync confluence space", "convert confluence to markdown", or "pull docs from confluence". If there is even a chance the user wants to interact with Jira or Confluence, use this skill.
Select a consistent visual design system for PPT slides using radius/spacing style recipes. Use when users ask for overall style direction or component styling consistency. Includes Sharp/Soft/Rounded/Pill recipes, component mappings, typography/spacing rules, and mixing guidance. Triggers: style, style, radius, spacing, corner radius, spacing, PPT style, visual style, design style, component style.
DataWorks Infrastructure Management: Create and query operations for Data Sources (51 types), Compute Resources, and Serverless Resource Groups, plus connectivity testing and resource group binding/unbinding. Uses aliyun CLI to call dataworks-public OpenAPI (2024-05-18). Trigger keywords: DataWorks data source, compute resource, resource group, datasource, data source, compute resource, resource group, mysql/hologres/maxcompute data source, holo/mc/flink resource, Serverless resource group, DataWorks infra, create/list datasource, DW environment config, infrastructure initialization, connect database to DataWorks, database connection failure, configure holo/mc resource. Not triggered: data development tasks, scheduling configuration, MaxCompute table management, data integration tasks, ECS/RDS/OSS operations, workspace member management, data quality monitoring, data lineage, data preview.