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Expert guide for crafting high-quality video prompts for Ozor.ai, the AI video generation platform. Use this skill whenever the user mentions Ozor, wants to create a launch video, product demo, feature announcement, explainer video, social ad, release notes video, investor update, tutorial, or any marketing video. Also trigger when the user asks for help writing video prompts, improving video outp

Browse, inspect, re-export, embed, or iterate on videos that already exist in the user's Ozor.ai account. Use this skill whenever the user wants to work with past or in-progress Ozor videos rather than create a new one — e.g. 'list my Ozor videos', 'show my recent videos', 'what's the status of my last video', 'get the embed code for that video', 'download my last Ozor video', 'share link for the

Audit which MCP server tools your Claude Code sessions actually invoke. Use when the user wants to find dead MCP servers (configured but never called), hallucinated MCP tool calls, or per-project MCP usage. Triggers on "which MCP servers don't I use?", "clean up MCP config", "remove unused MCP servers", "audit MCP tools". Runs locally; reads ~/.claude session JSONL logs and ~/.claude.json. No netw

Identifies the buying signal TYPES that matter for the user's market, then uses them to find companies showing those signals right now. Triggers: /signal-scout, "find signals", "what signals matter". Reads: ./gtm/icp.md, ./gtm/company.md. Writes: ./gtm/signals.md. Standalone: yes — asks what they sell if no context exists.

Claude Code and Cowork is a skill for Salesforce org interaction, enabling authentication, querying, and file management (download/upload).

Audit which Claude Code skills you actually invoke. Use when the user wants to find dead/unused skills, hallucinated skill invocations, per-project skill stats, or token cost of installed skill metadata. Triggers on "what skills don't I use?", "clean up my skills", "why didn't this skill work?", "audit skills". Runs locally; reads ~/.claude session JSONL logs. No network calls.

Run multi-agent social simulations for prediction and creative exploration. Use to simulate group behavior, predict public reactions, explore fictional scenarios, or analyze agent interactions.

Captures a screenshot from the Unity Editor Game View, reading its render texture directly via the Unity Editor API. The image, matching the Game View's current resolution, is returned for visual inspection by the LLM.

Unload a scene from the opened scenes in Unity Editor. Use the 'scene-list-opened' tool to get a list of all opened scenes.

Reads and implements a story file by loading the full context (story, GDD requirements, ADR guidelines, control manifest). It routes to the correct programmer agent, implements code and tests, and confirms acceptance criteria. This core implementation skill runs after /story-readiness and before /code-review and /story-done.

Deep analysis of TikTok Ads, covering creative quality, tracking, bidding, campaign structure, and TikTok Shop. It evaluates 25 checks, emphasizing a creative-first strategy, safe zone compliance, and Smart+ campaigns.

The spine of analytics investigation. Use whenever interpreting analytics numbers, answering "why did X change", reading funnels, comparing cohorts, or presenting findings. Teaches a five-step method (load profile, frame the question, build a MECE hypothesis tree, triangulate, present with Pyramid Principle), how to separate signal from noise, and how to spot Simpson's paradox before it misleads y