Pesquisa e Web

Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Mention CLIP, embeddings, image similarity, or semantic search.

Esta skill gera animações HTML/CSS autônomas de funcionalidades de aplicativos para tutoriais, demonstrações e integração. Ela pesquisa o aplicativo, entrevista o usuário e passa por um processo de revisão iterativo até a aprovação.

Use when setting up automated weekly PageSpeed Insights tracking for a set of URLs — to catch performance regressions before users notice, or to validate that performance optimizations actually stuck over time. Triggers from "weekly PSI tracking", "PageSpeed monitoring", "Core Web Vitals over time", "PSI cron", "performance drift detection", "set up automated lighthouse runs". Uses the free Google

Conduct deep OSINT research on individuals — from name or handle to a scored dossier with psychoprofile (MBTI/Big Five), career map, and confidence-graded facts. Phased pipeline (0→6): tooling check, seed collection, internal intelligence, platform extraction, cross-reference, psychoprofile, completeness evaluation, dossier output. Swarm mode: 3-5 parallel Sonnet sub-agents. 55+ Apify actors. 7 se

Run a counterfactual ("what if we had approved hyp_07 instead of pruning it") against a saved snapshot without mutating the live graph. Use when the user wants to second-guess a paused branch or audit a past pruning decision.

Ingest external sources into the knowledge bank through interactive study or quick filing. Two modes — Quick (summarize → file) and Study (theme-by-theme deep dive with online research and personal notes → multi-layer KB output → optional blog/slack synthesis). Triggers on "ingest this", "study this article", "add to knowledge bank", "learn from this", "process this article", "take notes on this",

Use when user invokes /orient with a topic keyword, entity type, project name, time qualifier, or combination. Also triggers on "what do we know about X", "remind me about X", "where did we leave off on X". Provides targeted context loading — searches the MCP Memory Server graph, knowledge files, journal entries, and research index to produce a focused orientation briefing.

Creates and manages persistent markdown planning files (task_plan.md, findings.md, progress.md) for complex task execution. Use when starting multi-step tasks, research projects, or any task requiring >5 tool calls. Solves the EXECUTION problem - staying focused during long-running tasks.

Research a topic using autonomous web search and AI synthesis. Use when you need external information, documentation lookup, or to validate technical approaches.

Research a topic using autonomous web search and AI synthesis. Use when you need external information, documentation lookup, or to validate technical approaches.

Use when user invokes /memory with a subcommand (search, trace, add, episode, status). Also triggers on "search my memory for X", "add to memory", "what do I know about X" (when membrain is available), "memory status", "memory trace". Searches and manages the membrain knowledge graph via MCP tools or HTTP API.

Structured multi-viewpoint research using 5 parallel Sonnet sub-agents. Use when deep research is needed on a complex topic before implementation planning.