Loading...
Loading...
Found 2,212 Skills
Wallet management — create, list, show, export, send, delete. Use when creating wallets, checking balances, or sending tokens.
Vector-based semantic memory using embeddings for intelligent recall. Store and search memories by meaning rather than keywords. Use when you need semantic search, similar document retrieval, or context-aware memory.
Expert skill for using OpenViking, the open-source context database for AI Agents that manages memory, resources, and skills via a filesystem paradigm.
Run a comprehensive multi-perspective code review on current changes. Activates the Review Council (security, quality, documentation, domain review) and runs automated security scanning. Use before creating a pull request or when you want a thorough review of your work.
Use this skill when building production LLM applications, implementing guardrails, evaluating model outputs, or deciding between prompting and fine-tuning. Triggers on LLM app architecture, AI guardrails, output evaluation, model selection, embedding pipelines, vector databases, fine-tuning, function calling, tool use, and any task requiring production AI application design.
Use when working with code refactoring context restore
Break a design document into wave-ordered implementation tasks with domain agent assignments. Use after /feature-design produces a design doc. Use for "plan feature", "break down design", "create tasks", or "/feature-plan". Do NOT use without a design doc or for simple single-task work.
Run Go quality checks via make check with intelligent error categorization and actionable fix suggestions. Use when user requests "run quality checks", "check PR quality", "verify code quality", or "run make check". Use before creating commits or during PR review. Do NOT use for non-Go repositories, repositories without a Makefile, or manual linter invocation.
Expert knowledge for Azure Managed Lustre development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when mounting AML, integrating with Blob auto-import/export, AKS CSI, quotas, or performance tuning, and other Azure Managed Lustre related development tasks. Not for Azure HPC Cache (use azure-hpc-cache), Azure NetApp Files (use azure-netapp-files), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Network (use azure-virtual-network).
Analyze a GitHub issue, reproduce the bug, and produce a structured issue analysis artifact.
Manage daily check-in records stored in local SQLite, supporting functions including adding check-ins, viewing records, statistical analysis, querying consecutive check-in days, deleting and modifying records. This skill should be actively used when users mention check-in, sign-in, recording daily habits such as exercise, reading, learning, fitness, meditation, running, cycling, etc., or want to check how many days they have stuck to a certain habit, how much time they spent exercising this week, what they checked in today. Even if the user does not explicitly say "check-in", it is applicable as long as it involves daily habit tracking and activity recording. It also works for English scenarios, such as check in, log my workout, track my reading, how many days in a row, streak, habits.
Backblaze integration. Manage data, records, and automate workflows. Use when the user wants to interact with Backblaze data.