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Found 9,894 Skills
HubSpot integration. Manage crm and marketing automation data, records, and workflows. Use when the user wants to interact with HubSpot data.
Quickbooks integration. Manage accounting data, records, and workflows. Use when the user wants to interact with Quickbooks data.
Interactive git and GitHub tutor that teaches through hands-on practice in VS Code's terminal. Adapts to any skill level — from someone who's never opened a terminal to principal engineers filling knowledge gaps. Covers git commands, concepts, branching, merging, rebasing, GitHub workflows, and more. Tracks progress, streaks, and achievements in a `.git-tutor/` folder. USE THIS SKILL whenever the user wants to learn git, practice git, understand git concepts, get a git tutorial, learn GitHub, or says things like "teach me git", "I want to practice git", "help me understand branching", "git tutorial", "I'm new to git", "how does git work", "let's do more git practice", or asks to start the git tutorial. Also triggers for questions about git concepts when the user seems to be in a learning context rather than needing a quick answer for active development work.
Bidirectional conversion between Markdown and Feishu (Lark) documents using md2fs and fs2md CLI tools. Use this skill whenever the user mentions Feishu, Lark, 飞书, feishu.cn URLs, md2fs, fs2md, md-lark-converter, pasting documents to Feishu, exporting from Feishu, converting to/from Feishu format, syncing content with Feishu, setting up Feishu cookies, or any workflow involving Markdown and Feishu documents — even if they don't explicitly say 'convert'. Also trigger when the user shares a feishu.cn or lark link.
Validate plans against 10 verification dimensions before execution begins. Uses goal-backward analysis to catch dropped requirements, vague tasks, missing dependencies, and scope overreach. Produces PASS/BLOCK verdict with structured findings. Use for "check plan", "validate plan", "is this plan ready", "review plan before executing", or "/plan-checker". Do NOT use for plan creation (use feature-plan or workflow-orchestrator) or plan lifecycle management (use plan-manager).
Technical checklist for backend PR self-review (NestJS/TypeScript) — B1–B21 static analysis + G1–G16 design patterns. Use when you want to run a checklist against a PR or piece of code. For the full review workflow with GitHub posting and Notion integration, use pr-review.
BDD-style behavior specification engine for the skill system. Use when: (1) defining a new skill's behavior before implementation, (2) validating a spec against the schema, (3) generating a behavior contract (Mermaid DAG) from a spec, (4) running structural acceptance tests against a built skill. Workflow: Spec → Test → Develop → Contract.
Use when the user wants TikTok research or workflow guidance for lead generation, influencer discovery, brand monitoring, competitor analysis, content analytics, trend research, or audience analysis, including account analysis, creator discovery, video inspection, comment scraping, transcript extraction, hashtag or song research, and TikTok Shop or product research.
Use after analyze-and-document has generated CLAUDE.md for an AI Studio project. Installs project-level Claude Code configuration — rules, skills, settings, and optionally agents, hooks, and MCP servers — into the .claude/ directory so that all future sessions have the right guardrails and workflows.
Guides developers through Enonic CLI commands for sandbox management, project scaffolding, local development, app deployment, and CI/CD pipeline generation. Use when creating Enonic XP sandboxes, starting or stopping local instances, scaffolding projects from starters, running dev mode with hot-reload, deploying apps, or generating CI/CD workflows for Enonic apps. Don't use for writing XP application code (controllers, content types), querying via Guillotine or lib-content APIs, configuring non-Enonic environments, or Docker/Kubernetes deployment of XP.
Set up competitor price tracking and monitoring workflows. Track price changes, detect promotions, analyze pricing patterns, and get alerts for competitive price movements.
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.