Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence documentation with profiling-problem-analysis and profiling-solutions markdown files, or prioritizing fixes using Impact/Effort scoring. This should trigger for requests such as Analyze JFR profile; Analyze the profile; Analyze the performance; Analyze the memory; Analyze the threading; Analyze GC logs from profiling; Prioritize Java profiling bottlenecks by impact. Part of Plinth Toolkit

Use when a large feature, story, plan, or spec idea needs to be split into small vertical slices with the Hamburger Method. This should trigger for requests such as Split this oversized story; Find the smallest useful slice; Break this feature into vertical slices; Apply the Hamburger Method; Turn this broad plan into tracked slices. Part of Plinth Toolkit

Set up Tailwind v4 + shadcn/ui themed UI with dark mode. Install deps, configure CSS variables via @theme inline, wire dark mode toggle, verify. Use whenever the user mentions Tailwind v4, setting up Tailwind theming, shadcn/ui colours, dark mode, or troubleshooting colours not working, tw-animate-css errors, @theme inline conflicts, @apply breaking after upgrade, or v3 → v4 migration issues.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch for Claude Code or Cursor, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Find out what audience signals exist for an idea about people. Describe who you're trying to reach in plain English and see what's out there — which signals Watt has, how big and how fresh each one is, and what related angles are worth a look. A guided, one-question-at-a-time walk, so you get the lay of the land before building anything from it. Start here to size up an idea or get your bearings — "what's out there for runners", "is Watt a fit for X", "what else relates to Y" — or type /watt:explore.

Explain and write effective instructions for the `/goal` feature — the persistent self-checking agent loop (plan → act → test → review → iterate), available in agents like Codex, Claude Code, and Hermes Agent. Use when the user mentions `/goal`, "goal loop", "Ralph loop", wants to kick off a long-running autonomous agent run, asks how to write a goal prompt, or wants a one-paragraph goal instruction drafted.

Write launch announcement emails and changelog digests for product releases. Use this skill whenever someone asks to write a launch email, draft an announcement email, create a product update email, write a changelog digest, or compose an email to accompany a product launch. Also trigger for "write the email for this launch," "draft the announcement email," "help me email our users about this," or any request to craft email copy tied to a product ship. Covers subject lines, announcement structure, segment-specific emails, changelog digests, and timing relative to social.

Discovers product opportunities by analyzing Amplitude analytics, experiments, session replays, and customer feedback. Synthesizes evidence into prioritized, actionable opportunities with RICE scoring. Use when the user asks to "find opportunities", "what should we build", "where are we losing users", "product gaps", or wants a data-driven backlog of improvements.

Pre-call intelligence skill that auto-assembles a role-specific brief from multiple data sources so no one walks into a customer call cold. Generates a polished HTML document with company context, stakeholder profiles, pain points, competitive intel, and gap analysis. ALWAYS use this skill when the user mentions: preparing for a call, pre-call prep, call brief, know before you go, customer brief, meeting prep for a prospect or customer, "what do we know about [company]", "brief me on [account]", "get me ready for my call with [company]", deal intel, account intelligence, or show up already knowing. Also trigger when the user asks to generate a demo script and wants account context pulled in first, or when prepping for a QBR, executive briefing, or renewal conversation. Works for both SEs and AEs with role-specific output.

Use this skill whenever a user wants to understand which external sources are being cited by AI models on topics relevant to their brand, and wants to create content that will outrank those sources — whether they say "what sources are AI models citing", "why is [third-party site] being cited instead of us", "we want to be the definitive source on X", "build something that gets cited more than G2 or TechRadar", "create an authoritative asset", or any variation where the goal is producing a new reference asset (definition page, benchmark, methodology, glossary, comparison hub) designed to beat existing top-cited sources. This skill analyzes AI Visibility source data, reverse-engineers what makes top-cited pages authoritative, and produces a superior source asset — then pushes it to CMS as a draft. Trigger on any mention of "sources", "third-party citations", "authoritative content", "definitional pages", or "outrank".

Use this skill whenever a user wants to improve existing pages on their website to get cited more by AI models — whether they say "our pages aren't getting cited", "improve this page for AI visibility", "which of our pages should we update", "make this article more cite-worthy", "our competitors are getting cited instead of us", "update our content for AI search", or any variation where the goal is improving an existing asset rather than creating something new. This skill pulls owned pages from AI Visibility, identifies which ones have citation potential but are underperforming, compares them against the external pages that are winning citations on the same topics, and produces section-level rewrites or a full-page update — then pushes the revision to the CMS as a draft. Trigger even if the user just says "help me get cited more" or "why is [competitor] getting cited instead of us".

Use this skill whenever a user wants to turn AI Visibility data into published content — whether they say "find content gaps", "what should we write about", "which topics have low visibility", "help me get cited by AI models", "create a blog post from our AI Visibility gaps", "we're losing to competitors on these prompts", or any variation where they want to go from AI visibility weakness to a draft article, landing page, or FAQ. This skill connects directly to Amplitude AI Visibility data (topics, prompts, visibility scores, citations, competitor data, full LLM responses and sources) and produces a publish-ready content brief plus full article draft. If the user mentions CMS (WordPress, Webflow, Contentful, Sanity, HubSpot, Ghost, Shopify), also trigger this skill to push the draft directly. Trigger even if they just say something vague like "what content should we create?" in an AI Visibility context.

Use this skill whenever a user wants to test content variants before publishing to find which one will get cited most by AI models — whether they say "which version of this content will perform better", "test this article before we publish", "simulate how AI will respond to this content", "which angle should we use", "generate content variants and pick the winner", "run a simulation before publishing", or any variation where the goal is data-driven content selection rather than gut-feel publishing. This skill takes an identified content opportunity, generates 2–3 distinct variants with different angles or structures, scores them against actual AI model responses from AI Visibility, references the Simulate Changes feature for pre-publish validation, and produces a clear recommendation on which variant to publish — then pushes the winner to CMS. Trigger on any mention of "simulate", "test variants", "which performs better", "A/B content", or "before we publish".

Analyze a business, product, or feature using Hamilton Helmer's 7 Powers framework to assess competitive advantage and strategic durability. Use when the user asks about competitive moats, strategic positioning, power analysis, defensibility, competitive advantage, or "7 Powers".

Generate a static interactive D3 walkthrough of a pull request. Use when the user wants a zoomable PR map, graph/canvas PR orientation, or alternate visualization of PR system components, data flow, code dependencies, and user actions.

Use when the user asks to research, investigate, look up, or understand something — orchestrates MCP servers (perplexity/exa/deepwiki/context7), agy-agent, and OMO agents (explore/librarian/oracle/multimodal-looker) with optional Max Mode for parallel multi-lane synthesis

Proactive security scanning for newly generated or modified code. Intelligently detects changes, runs appropriate scans (SAST, SCA, IaC), filters to only NEW issues, and prevents vulnerabilities at the source. Use this skill when: - Agent generates new code files - Agent modifies existing code - User asks to "scan for security issues" or "check my changes" - Before committing changes - User mentions "secure at inception", "proactive scan", or "security check"

Software Bill of Materials (SBOM) security analysis for vulnerability assessment and third-party risk management. Validates SBOMs from vendors or generates SBOMs for internal projects. Use this skill when: - User asks to analyze an SBOM file - User mentions "third-party risk" or "vendor security" - User needs to validate a supplier's SBOM - User wants to check SBOM for vulnerabilities - User asks about CycloneDX or SPDX formats

Infrastructure as Code security scanning for Terraform, Kubernetes, CloudFormation, and Azure ARM. Detects misconfigurations, security risks, and compliance violations before deployment. Use when: - User asks to scan Terraform files or modules - User mentions "infrastructure security" or "IaC scan" - User is working with Kubernetes manifests - User asks about CloudFormation or ARM template security - Agent is generating or modifying infrastructure code

Helps choose secure, healthy open-source packages by evaluating vulnerability status, maintenance health, popularity, community, and security posture. Use this skill when: - Agent needs to import a new dependency - User asks "which package should I use for X?" - User wants to compare packages (A vs B) - User asks "is this package safe?" - User asks for a "secure alternative" to a package - User mentions "dependency health", "package chooser", or "package security"