AI-powered adversarial UI testing via the browse CLI. Analyzes git diffs to test only what changed, or explores the full app to find bugs. Tests functional correctness, accessibility, responsive layout, and UX heuristics. Use when the user asks to test UI changes, QA a pull request, audit accessibility, or run exploratory testing. Supports local browser (localhost) and remote Browserbase (deployed sites).

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

Search the vault using QMD semantic search. Use PROACTIVELY before reading files. Preference order: (1) MCP tools — mcp__qmd__query, mcp__qmd__get, mcp__qmd__multi_get, mcp__qmd__status — if they appear in your tool menu, use them first; (2) CLI `qmd --index <name> ...` as fallback; (3) Grep/Glob only when QMD is not installed. Trigger proactively for past decisions, incidents, people, meetings, architecture, patterns, or any vault content — and after creating/editing notes to check for duplicates and related content.

Inspect and manage the live agent context window with Context X-Ray. Use when context is getting large, the user asks what is in context, or stale tool results/files should be pinned, evicted, restored, or reported by an external host.

Multi-AI requirements scoping using available external providers (Double Diamond Define phase). Priority triggers: octo define, octo scope, co-define, co-scope. DO NOT use for implementation, research, review/validation, or built-in commands.

Edit and enhance images and videos with AI via muapi.ai — prompt-based editing, upscaling, background removal, face swap, lipsync, video effects, and more

影片与视频编辑和内容创作者必备！当需要制作《三体》主题视频时，自动化完成选题策划、视觉设计、音频生成到成片合成，多智能体协作流程，3小时搞定72小时工作量。

财务和投资分析师在进行个股研究时，当需要深度研判买卖点与趋势，使用本技能可实时获取行情，计算MACD/RSI等技术指标，精准识别缺口与支撑压力位，智能预测未来3天走势并输出专业操作建议，大幅提升投研决策效率。

电商运营与内容创作者在制作商品宣传、带货及社媒营销视频时，使用此多智能体协同流水线，一键自动完成卖点文案、故事分镜、场景图片、音效字幕到MP4视频合成的全流程，高效产出专业级营销视频，大幅节省制作成本与时间。

自媒体创作者需要在X(Twitter)发布内容时，支持图文、视频、引用推文及Markdown长文发布，通过真实Chrome浏览器绕过反自动化检测，一键完成多格式内容分发，有效规避封号风险。

Use when the user asks about code health, code quality, complexity, technical debt, which files are risky or hard to maintain, what to refactor next, untested hotspots, or coverage gaps in a Repowise-indexed codebase (.repowise/ directory exists). Also use to get a before/after health read when planning or finishing a refactor.

Create or update repository skills and instructions when major learnings are discovered during a session. Use when the user says "learn!", when a significant pattern or pitfall is identified, or when reusable domain knowledge should be captured for future sessions.

Create a draft pull request for the current session. Use when the user wants to open a draft PR with the session's changes.

Guidelines for fixing unhandled errors from the VS Code error telemetry dashboard. Use when investigating error-telemetry issues with stack traces, error messages, and hit/user counts. Covers tracing data flow through call stacks, identifying producers of invalid data vs. consumers that crash, enriching error messages for telemetry diagnosis, and avoiding common anti-patterns like silently swallowing errors.

Use when working on the Chat Customizations editor — the management UI for agents, skills, instructions, hooks, prompts, MCP servers, and plugins.

Investor-first workflow for drafting a structured deal memo, IC memo, partnership memo, or acquisition-style brief from existing diligence materials. Use for prompts like "draft a deal memo", "turn this diligence packet into a memo", or "write the IC draft". Best when you already have research findings, model review notes, meeting outputs, and supporting documents. Optional Open Brain search and capture can pull prior context and store the final memo or recommendation summary.

Scaffold a Grok-4 tool-calling agent over an Oracle schema using langchain-oracledb + oracle-database-mcp-server + in-DB ONNX embeddings (registered MiniLM model, no external embedding API) + Open WebUI. For users who've built RAG before and want to rebuild it on the production-feeling Oracle stack.

Use find_capabilities to discover the right Agenta tools for an agent you are building, report what each integration needs to connect, and wire the tools into the new agent's config. Use when a setup/builder agent must turn a plain-language task ("post to Slack and open GitHub issues") into attached, connected, ready-to-run tools.

Run interactive brainstorming across verifiers tasksets, evaluations, GEPA, and RL training. Use when the user wants ideation, literature scanning, concept teaching, roadmap planning, or research program design grounded in local CLI sources, verifiers, and RL trainer code.

Deep analysis of Git history: identify frequently changed hotspot files, analyze code ownership by contributor, and scan for leaked secrets. Triggered when users ask about Git analysis, code hotspots, who owns what code, secret scanning, security audits of commit history, or optimizing code review assignments.