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Found 6 Skills
Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2) optimize/condense existing AGENTS.md to reduce token count, (3) update/refresh AGENTS.md to sync with codebase changes, (4) validate AGENTS.md quality and completeness, or (5) improve AGENTS.md files to be more effective for AI agents. Always generates token-efficient, condensed output focused on actionable commands and patterns while maintaining model-agnostic language.
Turn approved storyboard logic, beat sheets, or prompt plans into provider-ready short-form video requests. Use this when the segment structure is already known and you need a model-agnostic request architecture that can later map cleanly into Seedance or other video generators.
Build applications with the Letta API — a model-agnostic, stateful API for building persistent agents with memory and long-term learning. Covers SDK patterns for Python and TypeScript. Includes 24 working code examples.
Build AI agents with Strands Agents SDK. Use when developing model-agnostic agents, implementing ReAct patterns, creating multi-agent systems, or building production agents on AWS. Triggers on Strands, Strands SDK, model-agnostic agent, ReAct agent.
Use this skill to turn a raw user request into a structured, model-agnostic task brief before execution, and — when the brief survives confirmation — to be the sole entry point that creates a task directory at `.agents/tasks/<task-id>/`. Invoke whenever the request is complex, multi-step, cross-domain, ambiguous, or will be handed off to another model or agent. Also trigger when the user says things like 'help me figure out what I need', 'I'm not sure how to ask this', 'I want to do X but I don't know where to start', 'take this and make it clearer', or when the task mixes multiple goals or domains. Do NOT trigger for simple one-line requests with clear intent (e.g., 'fix the typo on line 42', 'rename this variable').
Craft high-quality natural-language image prompts for any modern text-to-image or image-edit model that accepts flowing English. Trigger when the user wants help writing, rewriting, improving, or translating an English natural-language image prompt — including "write me an image prompt", "improve this image prompt", "describe this scene for an image model", or "convert these tags into a natural language prompt". Do NOT trigger for requests that are purely about dispatching to an image API, choosing samplers/schedulers, picking LoRAs, or setting up ControlNet — those belong to a runtime skill.