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Found 921 Skills
Guided journey from a blank page to a live, high-converting website, built message-first, then design, then conversion. Orchestrates ten skills phase by phase - one-page-marketing, storybrand-messaging, made-to-stick, top-design, web-typography, refactoring-ui, ux-heuristics, cro-methodology, scorecard-marketing, steve-jobs-design-review - asking the user questions at every decision point and recording results in the project docs/ folder (POSITIONING.md, WEBSITE.md, DESIGN.md, CREATE-WEBSITE-PLAN.md) so the journey resumes across sessions. Use when the user wants to build a new website or landing page from scratch, turn a validated idea into a page that converts, or says 'build me a landing page for my SaaS'. Site already exists: use improve-website to fix conversion/UX or grow-website for more traffic; building a software product, not a marketing site: use create-app; no positioning yet: run create-business first or the positioning phase here. For one framework in isolation, invoke that skill directly.
FiveM resource structure, fxmanifest, client/server scripting, events. Use when creating or editing FiveM resources or Lua scripts, or when the user asks how FiveM works.
Guided journey from a working-but-untested vibe-coded prototype to a production-ready product with tests, clean structure, a business-rules boundary, and resilience at scale. Orchestrates nine skills phase by phase - working-with-legacy-code, clean-code, refactoring-patterns, software-design-philosophy, clean-architecture, pragmatic-programmer, release-it, system-design, ddia-systems - asking the user questions at every decision point and recording results in the project docs/ folder (TESTING.md, TECH-DEBT.md, RELIABILITY.md, IMPROVE-CODE-QUALITY-PLAN.md) so the journey resumes across sessions. Use when the user wants to harden an AI-generated prototype, add tests before refactoring, make code safe to change, or says 'this works on my machine but I am scared to touch it'. For a large aged codebase, use remove-technical-debt; to decide structure before building, use design-code-architecture; for a product and UX pass, use improve-app. For one framework in isolation, invoke that skill directly.
Convert deep research output (Claude Research, ChatGPT Deep Research, Gemini, Codex — any long-form MD/Word/text) into a consulting-quality HTML report: pyramid structure, numbers promoted to KPIs/charts, comparisons turned into framework tables, citations preserved. Use when the user provides research/investigation results and says レポートにして/HTMLにまとめて/資料にして/きれいにして, mentions ディープリサーチの結果/調査結果/リサーチ結果, or asks to research a topic AND deliver a report. NEVER invents numbers or facts not present in the source (盛らない原則).
Design and build data presentations — slide decks, board and investor decks, QBRs, analytics readouts, launch and sales decks, conference talks, and interactive web decks — that hold up in a room, in an inbox, and on a phone. Use whenever the user wants slides or a presentation: "make a deck", "turn this into slides", "board deck", "pitch deck", "QBR", "readout", "all-hands", "present these results", "PowerPoint", "pptx", "Google Slides", "keynote", "talk", "webinar", "speaker notes", "slidedoc", "reveal.js", or an interactive/HTML deck — even if they only say "put this in slides" or "we're presenting this Thursday". Covers storyline, slide layout and type specs, staged chart reveals, presenter mechanics, accessibility, and the build path (self-contained HTML, .pptx, Google Slides, or a spec). Composes with dreambase-data-stories, dreambase-visualization-design, dreambase-echarts, and any brand guide, design.md, or .potx the user supplies.
Design and implement a systematic framework for informational elements that communicate state (Badges) and categorization (Tags) with clarity and accessibility.
Create, improve, or audit Vapi voice agent and Squad system prompts for production phone and web based voice agents. Use when the user wants help designing a Vapi assistant prompt, multi-assistant Squad prompt set, refining an existing prompt, creating prompt sections, building an intake or handoff workflow, improving tool-use instructions, adding guardrails, or optimizing voice-agent behavior for brevity, turn-taking, error handling, caller data collection, escalation, handoffs, and spoken formatting.
Opt-in recreation of the Bun + TypeScript framework used to build Vapi's landing-page voice agents from a ROUGH_DRAFT.md spec, including a scenario registry, language stacks, prompt composer, assistant builder, and idempotent bootstrap script. Use only when the user explicitly invokes vapi-bootstrap-framework or specifically asks to reproduce or experiment with the landing-page-agent architecture. Do not use for ordinary Vapi assistant builds; use create-assistant, create-tool, create-squad, and vapi-prompt-builder instead. Targets Bun + TypeScript + @vapi-ai/server-sdk.
Find the pull request for the current branch on GitHub, GitLab, Bitbucket Cloud or Data Center, or Azure DevOps; retrieve unresolved inline CodeAnt AI review threads through the source-control provider; validate each finding; apply safe minimal fixes; verify them; and resolve only fixed threads. Use when asked to address, fix, triage, or resolve CodeAnt PR comments without installing or using codeant-cli.
MagicPay handles first-time setup, exact balance checks, crypto transfers and reconciliation, plus approved login, identity, checkout, donation, subscription, and payment workflows. It applies when a task needs protected Memory, payment operations, or approval; an open-ended purchase or booking without a checkout URL routes through MagicSearch before browser navigation or generic web search. For browser work, it uses the current agent's native page-control when available. MagicBrowse is fallback page-control.
Map plain-language Nexor requirements to exact configuration and build it through Nexor MCP tools. Covers arbitrary lead metadata, notifications, CRM sync, field/status events, qualification gates, workflow tools and hooks, webhooks, jobs, cloud/scheduled functions, cadence, channel and knowledge-base assignment, multi-agent systems, and transfers. Use when a customer asks how an agent can receive or use custom lead information, describes custom behavior, an integration, routing, or a multi-agent build. Discover account configuration before questions, decompose variables, stages, and boundaries, require plan review and sign-off before mutation, prefer deterministic primitives, and read back every expected channel, connection, and knowledge assignment regardless of creation order.
The full lifecycle for agentic loops — recurring, scheduled AI agents packaged as a portable LOOP.md (the agenticloops.dev standard: a trigger + skills + a prompt in one file any harness can install and run on a schedule). Use this whenever the user wants to FIND, INSTALL, RUN, or BUILD a loop: "find a loop for X", "is there a loop that…", "install a recurring agent that does X", "run this loop", as well as "create a loop", "make an agentic loop", "write a LOOP.md", "turn this into a recurring agent", "schedule an agent", "set up a cron job for an agent", or any description of a repeating job they want an agent to do on a timer (a daily digest, a competitor watcher, a triage sweep, a report pipeline, "email me X every morning", "check Y every hour") — even if they never say the word "loop". Always search the directory first and install an existing loop when one fits; author a new LOOP.md only when nothing does. This is the loop-level analogue of skill-creator + find-skills combined. For an ad-hoc in-session multi-agent run (spawn, verify, panel, fan-out) use the `loops` skill instead; for authoring a reusable SKILL.md use skill-creator.