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Skills
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Official Figma skill that creates and modifies native Figma content on the canvas, enabling AI agents to write directly to Figma files via the MCP server.
Provides Terraform infrastructure-as-code guidance and patterns, from a collection of 65 skills and 9 workflows built for full-stack developers.
Official Apollo GraphQL agent skills for AI coding agents, covering Apollo Client, Apollo Server, Apollo Connectors, and GraphQL development workflows.
A Claude office skill for designing infographics by planning layouts, structuring content, and creating visual hierarchies. Supports statistical, timeline, process, comparison, and geographic infographic types with detailed design specifications including color schemes, typography, and wireframes.
Interviews the user relentlessly about a plan or design, walking down each branch of the decision tree and resolving dependencies one by one until shared understanding is reached. For every question it also proposes its own recommended answer, and prefers exploring the codebase over asking when possible.
Enforces code quality, security, and best practices across full-stack projects by reviewing architecture consistency, identifying vulnerabilities, and suggesting improvements.
Develops WeChat mini programs with CloudBase integration, handling pages, components, authentication, and deployment efficiently.
A Claude office skill for systematic competitor analysis that compares products, features, pricing, and market positioning. Supports Porter's Competitor Analysis framework, SWOT analysis, feature comparison matrices, battle cards for sales, and generates strategic recommendations.
Generates read-only MongoDB find queries and aggregation pipelines from natural language, using MCP tools to gather indexes, collection schema, and sample documents first, then emitting stringified Extended-JSON queries that respect index coverage and avoid `$where`, `$regex` on unindexed fields, or redundant operators. Excludes Atlas Search / Vector Search (see mongodb-search-and-ai).
Guidelines for effective logging using wide events and canonical log lines, enabling powerful debugging and analytics.
Skill that turns filtered claude-mem observations into queryable AI knowledge bases ("brains"). Users build a corpus with filters (project, concepts, date range), prime it into an AI session, then ask conversational questions and rebuild/reprime to refresh.
Builds integrated 3-statement financial models linking Income Statement, Balance Sheet, and Cash Flow Statement, with revenue forecasting, working capital projections, debt scheduling, and scenario analysis for valuation and strategic planning.
Procedural guide for configuring and managing GitHub secret scanning — enabling Secret Protection, turning on push protection for command line/UI/REST pushes, defining custom patterns, triaging user/partner/push-protection alerts, configuring delegated bypass, and writing `secret_scanning.yml` path exclusions. Also references pre-commit scanning via the `advanced-security@copilot-plugins` MCP plugin.
A Claude Code plugin marketplace from Trail of Bits providing skills for AI-assisted security analysis, testing, and development workflows.
Conducts comprehensive company research and due diligence including business model analysis, competitive landscape mapping, SWOT and Porter's Five Forces analysis, market sizing, and management assessment for investment or strategic decisions.
A comprehensive agent toolkit providing Claude Code skills for software diagramming, code review, QA planning, and professional communication workflows.
A collection of 65 Claude Code skills and 9 workflows with progressive disclosure, covering full-stack development including context engineering and Atlassian integration.
Designer skill for building distinctive, production-grade frontend interfaces guided by named aesthetic philosophies (Dieter Rams, Swiss, Japanese Minimalism/Ma, Brutalist, Scandinavian, and more). Scans existing components, tokens, and Tailwind/MUI/Chakra configs, then writes working code that matches a chosen philosophy.
An agent skill from Google's Well-Architected Framework collection that provides guidance on operational excellence practices for Google Cloud, covering areas like monitoring, incident response, and deployment automation.
Builds operator-focused monitoring dashboards for Grafana, SigNoz, and similar platforms by starting from operating questions (health, latency, throughput, saturation, service-specific risk) instead of visual layout. Produces structured boards (overview / performance / resources / service-specific) with example panel sets for Elasticsearch, Kafka, and API gateways, plus a quality checklist enforcing units, thresholds, and variables.
Guidance skill for building deliverable, compliant, user-friendly emails — SPF/DKIM/DMARC, double opt-in capture, transactional vs marketing emails, retries and idempotency, webhook event processing, bounce/complaint suppression, and CAN-SPAM/GDPR/CASL compliance. Organized as a quick-reference table routing to specific reference docs (deliverability, transactional, marketing, compliance, sending reliability, webhooks, list management).
Operate real customer billing workflows via connected tools like Stripe — subscriptions, refunds, duplicate charges, failed renewals, churn triage, and billing-portal recovery. Enforces classifying the issue (accidental duplicate vs multi-seat vs broken product vs cancellation) before acting, and never refunds blindly or exposes secret keys or PII.
A collection of 255+ universal agentic skills for AI coding assistants including Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, and Cursor.
A Claude Code plugin marketplace from Trail of Bits providing skills for AI-assisted security analysis, testing, and development workflows.
An official Anthropic plugin for Claude Code that provides guidance for building MCP (Model Context Protocol) servers, available through the Claude Code plugins marketplace. Install via /plugin install build-mcp-server@claude-plugins-official.
Product discovery interview skill that transforms vague ideas into detailed implementable specifications through deep iterative interviews, detecting knowledge gaps, surfacing hidden assumptions, and researching uncertainties