Skills for AI agents

Your AI posts tweets and threads, reads your mentions, and searches X for content. It manages OAuth authentication and respects rate limits to keep posts and searches reliable.

Your AI writes and runs end-to-end tests for Windows native desktop apps using pywinauto and Windows UI Automation. It supports WPF, WinForms, Win32/MFC, and Qt apps, including CI/CD integration and testability improvements.

Your AI reviews prediction-market workflows for compliance, safety, data quality, privacy, and execution risks before accessing sensitive data or trading. It checks venue rules, flags legal issues, enforces security, and ensures manual decision points remain.

Your AI maintains long-lived project documentation by assigning clear roles and linking active agents to canonical sources. It helps prevent doc rot, context loss, and repeated rediscovery by organizing existing docs without adding new root files.

Your AI helps you create new skills or improve existing ones by drafting, testing, evaluating, and rewriting them. It runs test prompts, analyzes results quantitatively and qualitatively, and guides you through iterative refinement.

Your AI audits your repo, servers, plugins, and environment to reveal current capabilities and recommend next steps. It identifies available skills, hooks, agents, and missing integrations without exposing secrets.

Get guidance on Vue 3 Composition API, Pinia state management, Vue Router, and Nuxt SSR patterns. It covers component design, reactivity, routing, testing, and project structure best practices.

Your AI configures Vite projects including plugins, environment variables, proxy setup, and build optimization. It handles dev server, SSR, library mode, and troubleshooting common Vite issues.

Turn visa application document images into bilingual PDFs with original and English translation pages. It uses OCR methods and formats translations professionally for official submissions.

Your AI ingests video or live streams, indexes visual and spoken content, and edits timelines with subtitles, overlays, and audio. It supports local files, URLs, RTSP feeds, desktop capture, and real-time alerts.

Turn batches of UI screenshots or design exports into Vue 3 components. It organizes pages and modules, maps elements to Vant, Element Plus, or Ant Design Vue, and wires up routing automatically.

Your AI edits and structures existing video footage into polished content. It manages cutting, overlays, subtitles, voiceovers, and reframing using FFmpeg, Remotion, ElevenLabs, Descript, and CapCut workflows.

Your AI runs a multi-step verification for Claude Code projects before completion. It checks builds, types, linting, tests, security scans, and code diffs to ensure quality and readiness for pull requests.

Your AI consolidates notifications from GitHub, Linear, desktop alerts, and other tools into one clear workflow. It manages event severity, routing, and follow-up actions to reduce noise and improve alert handling.

Your AI shares and resumes work state across different agents using the ECC Memory Vault. It stores and retrieves portable Markdown context files to hand off tasks and search project knowledge across sessions.

Your AI manages Uncloud clusters to deploy services, configure ingress, and handle network routes. It uses the `uc` CLI to control Docker containers, WireGuard mesh, and Caddy reverse proxy settings across machines.

Your AI records polished web app demo videos with visible cursor and natural pacing. It explores pages first, scripts interactions, rehearses, then captures WebM videos suitable for walkthroughs or tutorials.

Your AI offers you choices on how long or detailed its answers should be before responding. It estimates input complexity and token usage to suggest brief, medium, or exhaustive responses based on your request.

Your AI guides development using the tinystruct Java framework for CLI and HTTP dual-mode apps. It covers creating Application classes, @Action routes, JSON builders, persistence, SSE, file uploads, and outbound HTTP networking.

Your AI runs commands, inspects git state, debugs CI, and makes verified fixes with exact proof of changes. It integrates with verification, testing, security, GitHub, and knowledge workflows to track what was changed and pushed.

Your AI opens executables with arguments in a visible terminal window without using a shell. It supports dry-run, JSON output, capability detection, and fallback modes for interactive CLI, SSH, or local processes.

Your AI lets you browse and select multiple agent personas to form a team for a task. It organizes agents by domain folders or filename prefixes and shows descriptions to help you pick the right mix.

Your AI coordinates multiple agents as a team using work items, ownership, Kanban states, and merge gates. It manages shared workflow visibility, branch isolation, and control pane handoffs for multi-agent project collaboration.

Your AI enforces test-driven development with 80%+ coverage including unit, integration, and end-to-end tests. It converts plans into testable guarantees and tracks evidence throughout feature writing, bug fixing, and refactoring.