Pesquisa e Web

Descrição provisória — substitua pela linguagem de gatilho para sua nova skill. Seja incisivo nos gatilhos; descreva tanto o que fazer QUANTO o que NÃO fazer.

(Industry standard: Routing Agent / Orchestrator Pattern) Primary Use Case: Analyzing an ambiguous trigger and routing it to one of the specific specialized implementations. Routes triggers to the appropriate agent-loop pattern. Use when: assessing a task, research need, or work assignment and deciding whether to run a simple learning loop, red team review, dual-loop delegation, or parallel swarm.

Habilidade para análise estruturada de concorrentes, útil para coletar dados de sites, extrair preços/recursos/posicionamento e analisar lacunas estratégicas. Para pesquisa geral, consulte 'market-research'.

Spawn up to 5 independent critic subagents in PARALLEL on a target — a research idea, draft, R&R strategy, grant proposal, experimental design, pre-analysis plan, talk plan, IRB protocol, or skill design — collect their raw outputs, then run a SEPARATE synthesis pass that produces a single prioritized action list without majority-voting. Default critic roster is tuned for quantitative-marketing re

A standard Spec-Kitty workflow routine.

Trigger with "evaluate autoresearch fit", "score this skill for karpathy loop", "is this a good autoresearch candidate", "assess autoresearch viability for", "which skills are best for autonomous loop optimization", "score skills for 3-file architecture", or when the user wants to determine if a skill is a good candidate for applying the Karpathy autoresearch autonomous optimization loop pattern.

Drafts an R&R response letter in the user's R2R style — sectioned by role (Senior Editor / Associate Editor / Reviewer 1 / Reviewer 2), reviewer quotes in `\textit{...}`, location-pinned changes ("see Section 3", "Footnote 7", "Table 4"), "Done." for trivial fixes, polite pushback with cited authority, abandoned drafts kept in `\begin{comment}` blocks. Reads existing `R2R_*.tex` files in the proje

This skill should be used when the user asks to 'research package', 'package intel', 'what does [npm-pkg] do', 'add package to knowledge graph', 'enrich [pkg]', when adding depends_on [[npm-*]] relations, 'research crate', 'what does [crate] do', 'crate intel', 'rust package', 'pypi package', 'python package', 'go module', 'golang package', 'composer package', 'php package', 'ruby gem', 'gem intel

Um orquestrador de habilidades inteligente que encontra, cria, executa e aprimora habilidades automaticamente. Ele busca habilidades existentes, cria novas se necessário, as executa e as refina com base no uso e feedback.

Run a seven-pass adversarial review of an academic manuscript by spawning 7 parallel review subagents (abstract, intro, methods, results, robustness, prose, citations) and synthesizing their findings into a prioritized revision checklist with 80 / 90 / 95 quality thresholds. Use when the user says "seven pass review", "seven-pass review my draft", "full adversarial review", "deep review my paper",

Review research code for reproducibility and quality, extract the paper's main empirical claims, compare paper to code, and write a constructive markdown report. Designed for quantitative marketing / economics projects with LaTeX papers and R or Python code.

This skill should be used when the user asks to 'bookmark URLs from this session', 'save links we found', 'bookmark discoveries', 'save notable URLs to Raindrop', 'bookmark what we discovered', 'save session URLs', 'raindrop bookmarks from session'. Scans the current conversation for high-signal URLs discovered during research, previews 1-3 bookmark candidates, and creates them in the AI-bookmarke