Pesquisa e Web
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how-to-win
This skill should be used when the user asks to "research what winning means", "figure out what success looks like", "research before starting", "how to win at X", "what does winning look like for X", or wants deep research before deploying strategies. Deploys 3 research agents across 3 rounds to build a comprehensive Winning Brief.
research
Structured deep research and investigation. ML papers, competitor analysis, market research, domain intelligence, data source discovery. Uses firecrawl for web search/scraping. Outputs actionable findings with sources and confidence levels. Use when the user says "research", "investigate", "deep dive", "analyze the market", "find papers on", "competitor analysis", or needs multi-source synthesis o
ml-model-export
Export trained PyTorch models to various formats (ONNX, TorchScript, TensorRT) and upload to model registries (Hugging Face Hub, MLflow). Use when deploying models, sharing trained weights, or preparing for production inference.
vapt-claude
Full-spectrum web application VAPT skill for Claude Code, OpenCode, Codex CLI & Gemini CLI — from reconnaissance to exploitation to remediation reporting
frame-insight-opportunity
Turn raw insights into well-structured opportunity statements ready for prioritization or experiment design. Use this skill when a team has research insights and needs to frame them as actionable product opportunities.
grounded-research
Impõe uma disciplina de pesquisa baseada em fontes e com citação prioritária. Utilize esta habilidade para pesquisar, verificar fatos, resumir descobertas ou qualquer resultado factual que exija precisão e verificabilidade, mesmo com frases conversacionais.
vapt-claude
Full-spectrum web application VAPT skill for Claude Code, OpenCode, Codex CLI & Gemini CLI — from reconnaissance to exploitation to remediation reporting
deep-research
Professional multi-agent deep research system that autonomously investigates any topic across 100+ sources with recursive citation chasing, source credibility scoring, evidence triangulation, and knowledge synthesis. Use this skill whenever the user asks to research a topic in depth, investigate something thoroughly, find comprehensive information, do a literature review, explore state-of-the-art
scope-research
Use when the user explicitly asks to research the scope of a requirement or proposed change against the current codebase — e.g. "research the scope of this requirement", "what would adding X touch in this codebase", "do scope research on this spec", "/scope-research". Surveys the codebase to surface concrete facts about which files/areas a change would touch and the relevant facts about each touch
agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to
weekly-strategist
Weekly strategic intelligence. Dispatches 5 analyst agents (Market Scout, Competitor Tracker, Audience Analyst, Growth Analyst, Product Scout), reads the last 7 daily reports, and produces a strategy brief + recommendations for PM ingestion. Reads pulse-config.yaml from the nearest research directory. Run Monday mornings or whenever you need strategic direction. Trigger: "run weekly strategy", "we
compiling-entities
Compiles a comprehensive entry for a named entity by scanning ALL files, gathering every mention, and assembling a structured profile. Use when building out a full entry for any character, species, location, or concept, or when user says "compile", "flesh out", "full entry for", or "everything about [entity]". Does NOT extract multiple entities from one source — use /extracting-entities.