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Found 1,285 Skills
Set up Goldsky CLI authentication and project configuration. Use this skill when the user needs to: install the goldsky CLI (what's the official install command?), run goldsky login (including when the browser opens but 'authentication failed'), run goldsky project list and see 'not logged in' or 'unauthorized', switch between Goldsky projects, check which project they're currently authenticated to, or fix 'unauthorized' errors when running goldsky turbo commands. Also use for 'walk me through setting up goldsky CLI from scratch for the first time'. If any other Goldsky skill hits an auth error, redirect here first.
Generate UTM-tagged URLs for campaign tracking. Create consistent, organized tracking links for Google Analytics, HubSpot, and other analytics platforms. Supports bulk generation, naming conventions, and campaign documentation. Use when creating tracking links, campaign URLs, or organizing marketing attribution.
Workflow automation hooks for agent-playbook skills. This skill defines automatic triggers between skills - DO NOT use directly, it's a configuration skill that other skills reference.
Interact with GitLab via the glab CLI. Supports five MR workflows — Read (summarize), Review (full code/security/QA review), Fix (review + implement), CI Fix (fix pipeline failures), and Feedback (address review comments). Trigger whenever the user provides a GitLab MR URL or says anything like "อ่าน MR", "ดู MR", "check MR", "review MR", "ช่วย review MR นี้", "ตรวจ MR", "แก้ตาม MR", "fix MR", "fix CI", "fix pipeline", "แก้ pipeline", "แก้ตาม comment", "แก้ตาม feedback", "address feedback", or just pastes a GitLab MR URL. Also supports listing MRs, viewing MR status, checking CI/CD pipelines, approving MRs, and other glab operations. Trigger on "check pipeline", "list open MRs", "pipeline failed", or any GitLab-related task.
MindOS Knowledge Base Operation Guide (Chinese) for Agent tasks on local markdown/csv knowledge bases. It should be automatically triggered whenever tasks involve note files, SOP/workflow documents, profile/context documents, CSV tables, knowledge base organization, cross-Agent handover or decision synchronization, and are executed via the MindOS MCP tool. Typical requests include "update notes", "search knowledge base", "organize files", "execute SOP", "review according to team standards", "hand over tasks to another Agent", "synchronize decisions", "append to CSV", "retrospect this conversation", "extract key experiences", "adaptively update retrospective results to corresponding documents", "route this information to corresponding files", "synchronously update all related documents", etc.; it should be triggered even if the user does not explicitly mention MindOS.
Swap faces in a video using AI via the HeyGen API. Use when: (1) Replacing a face in a video with another face, (2) Face swapping from a source image onto a target video, (3) Creating personalized videos by swapping in a person's face, (4) Working with HeyGen's /v1/workflows/executions endpoint for face swap processing.
Answer questions using the Tenzir documentation. Use whenever the user asks about TQL syntax, pipeline operators, functions, data parsing or transformation, normalization, OCSF mapping, enrichment, lookup tables, contexts, packages, nodes, platform setup, deployment, configuration, integrations with tools like Splunk, Kafka, S3, Elasticsearch, or any other Tenzir feature. Also use when the user asks how to collect, route, filter, aggregate, or export security data with Tenzir, or needs help writing or debugging TQL pipelines, even if they don't mention 'Tenzir' explicitly but are clearly working in a Tenzir context.
Use this skill as foundation for git workflows. Use when verifying workspace state before other git operations, checking staged changes, preflight checks before commits or PRs. Do not use when full commit workflow - use commit-messages instead. DO NOT use when: full PR preparation - use pr-prep.
Use this skill when optimizing for AI-powered search engines and generative search results - Google AI Overviews, ChatGPT Search (SearchGPT), Perplexity, Microsoft Copilot Search, and other LLM-powered answer engines. Covers Generative Engine Optimization (GEO), citation signals for AI search, entity authority, LLMs.txt specification, and LLM-friendliness patterns based on Princeton GEO research. Triggers on visibility in AI search, getting cited by LLMs, or adapting SEO for the AI search era.
Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues.
Build apps that integrate with external services via Membrane. Use when the user wants to add integrations to their product — let their customers connect to Slack, HubSpot, Salesforce, GitHub, Google Sheets, Jira, or any other app, execute actions, sync data, or handle webhooks. Covers backend token generation, frontend connection UI, running actions, data collections, and AI agent tooling.
DingTalk Address Book and Contact Query. Use this skill when the user mentions terms like "DingTalk address book", "find employee", "search user", "check user info", "get user details", "user phone number", "employee name", "employee ID", "check department", "search department", "department members", "department list", "department details", "sub-department", "parent department", "department path", "total number of employees", "address book search", "userId to unionId", "unionId to userId", "dingtalk contact", "dingtalk directory", "find user", "get user info", "department members". Supported operations: search users/departments by keyword, get complete user information (name/phone/employee ID/department/position/unionId), get department member list, get department tree structure, query user's department path, count total number of employees, and all other address book operations.