planning-campaigns

Analyzes the ads competitors are running — the ones live now, the ones they have already stopped, and which have run longest. Watches the video ads and reads the image ads with a vision model, so every finding comes from the ad itself rather than its caption. Finds the patterns across the set — what is holding, what was dropped, and what nobody runs. Research only — nothing is generated or recommended here. Use when the user wants competitor ads researched, an ad teardown, a competitive or category analysis, to see what ads a named brand is running, or to find what is working and what nobody has tried yet.

Generates the storyboard sheets for a video — one image per clip, panels in a row, each panel one action. Divides each clip into panels itself, then builds the sheets one at a time, each taking the previous one as a reference, so the person and product stay consistent except where the story deliberately changes them. Use when a video's clip lengths and story are settled and it needs sheets before anything is animated. Not for a still image on its own — that should be made using generating-images.

Generates a UGC video — a creator or customer, on camera as themselves, sharing their own authentic take on a product. Use when the user wants a UGC video, creator video, influencer ad or endorsement, tiktok-style review, unboxing, try-on, OOTD, fit check, haul, tutorial, talking head, or creator testimonial. Not for a produced advertisement in the brand's voice, where a presenter or actor plays a role in the brand's spot — that is generating-ad-videos; not for a video with no person in it, or a person with no product to show.

ALWAYS read this skill before generating or animating any video, or calling video_generate — text-to-video, image-to-video, a start→end transition, or a reference / motion / audio-guided clip. Generates a video from a brief — one clip, or several clips joined into a single file at any length. Use when the user wants to make or generate a video, animate a photo, bring an image to life, produce b-roll, film a described scene, or move from one held frame to another. This skill should also be used when the video takes its motion or style from an existing video, or has to run to an existing audio track.

Finds out who a brand competes with. Reads what the brand sells from its site, searches the web for the alternatives buyers compare it against, and proposes a shortlist with competitor names and websites. Use when the user asks who their competitors are, or to find or refresh their competitor list, or when another skill needs competitors named first.

Onboards a new user — sets up their brand for the first time from their website. Analyzes the brand, finds its competitors, and saves both to the company profile that every later session reads from. Use when the user wants to onboard, get started, or set up their brand or company profile. Not for just analyzing a brand from its website — that is analyzing-brand.

Writes the words of an ad — the headline, primary text, description and call to action that go into the ad platform's own fields, shaped to the channel it runs on. Handles one channel or several, returning copy sized to each platform's limits. Nothing is generated here — text only. Use when the user wants ad copy, ad text, headlines, primary text, a description or captions written for a paid ad.

Writes what is said in a video — the words a person speaks on camera, or a voiceover heard over the picture. Fits the writing to the time available, so lines are never rushed to fit or padded to fill. A video longer than a single clip gets its script split into one piece per clip, each sized to that clip's seconds. Outputs the words as text only — nothing is recorded or voiced here. Use when the user wants a script, dialogue, or a voiceover written for a video.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Use when implementing any feature or bugfix, before writing implementation code

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video