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Found 6,717 Skills
Install, update, or uninstall hook-based desktop/audio reminders for Agent stop and attention events. Use only when the user explicitly invokes agent-doorbell or asks to configure, enable, install, update, disable, remove, or uninstall automatic Agent doorbell hooks. Do not use for ordinary final responses or manual stop ringing.
Use when writing or reviewing agent instructions and current-state docs — rules files (AGENTS.md/CLAUDE.md), skill bodies and descriptions, prompts, and design/plan/process docs — or on request to prune a task or session file. Restates negation priming, absence declarations, stale meta-narrative, and strawman warnings as positive targets or consequences.
Create or revise agent skills. Use when adding a new skill file, renaming a skill, simplifying an existing skill, improving trigger descriptions, or deciding what belongs in a skill versus references, scripts, assets, or ordinary docs.
Internal run-it verification review pass of the agentic-workflow review pack — composed in-turn by review-change and product-audit; not a menu entry. Runs the project's gate and the changed behavior for real — commands, exit codes, observed output — instead of assuming; what cannot be executed goes to the manual checklist. Findings only; never edits code.
Internal tech-debt transform pass of the agentic-workflow review pack — composed in-turn by review-change and product-audit; not a menu entry. Transforms the synthesized findings table into explicit debt items, each with a re-trigger condition; it does not rescan the diff. Findings only; never edits code.
Generate a documentation pack for a .NET repository so AI coding agents can reason about it — AGENTS.md, architecture, ADRs, data model, infrastructure, plus a `docs/dotnet.md` deep-dive covering the solution/project graph, target frameworks, EF Core data access, DI, configuration & secrets, analyzers, and CI. Invoke with `/arkandia:agent-context-dotnet [en|es]`.
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
Secure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.
Set up OpenClaw locally and run it reliably on a Mac mini for private, always-on local agent workflows.
Use this skill whenever a question should be answered from documents stored in a LlamaCloud Index v2 knowledge base — retrieving passages, locating indexed files, or searching indexed content through the LlamaParse Platform REST API with curl. Teaches agentic retrieval — navigating an index like a file system instead of one-shot RAG.
Migrates skills, agents, and rules between Google Antigravity 2.0 (IDE/CLI) format and other Agentic AI Provider formats (Cursor, Windsurf, Claude Code, GitHub Copilot, Roo Code), and vice-versa. Use when asked to migrate/convert agent customizations, rules, or skills to or from Antigravity.
AI agent for managing Google Ads and Meta (Facebook & Instagram) Ads. Create and publish campaigns, ad sets/groups, and ads; manage drafts; upload images and video; research keywords and audiences; browse the ad library; and generate ads with AI. Works through the AdKit CLI or MCP. Load when the user wants to execute ad operations or is ready to publish a campaign. Not for strategy, copywriting, creative advice, or learning about ads.