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Found 2,397 Skills
First-time Perses setup pipeline: discover or deploy server, configure MCP connection, create initial project, add datasources, and verify connectivity. 4-phase pipeline: DISCOVER, CONNECT, CONFIGURE, VALIDATE. Use when setting up Perses for the first time, connecting Claude Code to an existing Perses instance, or onboarding a new team to Perses. Use for "perses onboard", "setup perses", "connect to perses", "perses getting started". Do NOT use for dashboard creation (use perses-dashboard-create) or server deployment details (use perses-deploy).
Interactive debugging via DAP-MCP for multiple languages with natural language commands
Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.
Génère des règles de design system personnalisées pour le codebase de l'utilisateur. À utiliser quand l'utilisateur dit « créer des règles de design system », « générer des règles pour mon projet », « configurer les règles de design », « personnaliser les guidelines du design system », ou veut établir des conventions spécifiques au projet pour les workflows Figma-vers-code. Nécessite une connexion au serveur MCP Figma.
Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.
AST-based semantic code search skill for AI agents. Teaches agents to use sqry's 34 MCP tools for finding symbols by structure (functions, classes, types), tracing relationships (callers, callees, imports, inheritance), analyzing dependencies, and detecting code quality issues. Unlike embedding-based search, sqry parses code like a compiler. Supports 37 languages. Uses tiered discovery: start with Quick Tool Selection below, load reference files only when you need parameter details or advanced workflows.
Setup and workflow for using sqry semantic code search as an MCP server with Gemini CLI. Covers installation, MCP configuration via settings.json, context file behavior, and recommended patterns. Install this skill to give Gemini CLI access to sqry's 34 AST-based code analysis tools.
Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces. Part of the context engineering skill suite — also activates when the user mentions "context engineering" or "context-engineering" in the context of designing tools that shape how agents receive and process context.
Conduct legal research and risk analysis using GoodLegal MCP tools. Use this skill whenever the user asks a legal question, wants to research case law or legislation, needs a legal risk assessment, or asks about French or EU law. Trigger on any mention of jurisprudence, legal research, contract risk, regulatory analysis, legal memo, or references to GoodLegal tools — even if the user just says something like "can you look into whether this clause is enforceable" or "what does the case law say about X".
Publish and manage LinkedIn content via the Hyper MCP — text posts, article / link previews, document and PDF posts, organization (company page) posts, and AI-generated text-to-carousel posts. Use when the user wants to post on LinkedIn, share an article on LinkedIn, post to a LinkedIn company page, upload a PDF / document to LinkedIn, or build a LinkedIn carousel from text.
Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploring unfamiliar codebases, understanding project architecture, or asking questions about how a specific open-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code. NOT for fetching library API docs (use fetching-library-docs instead) or local files.