Àmbit acadèmic

Redacció acadèmica, recerca i citacions

Skills: 985–1008 de 1723
Aedelon

brainstorm

Aedelon

Multi-agent brainstorming and strategic thinking on any complex topic. Explores the subject deeply, then spawns specialized sub-agents in parallel for diverse expert perspectives. MUST BE USED PROACTIVELY when user faces any decision, architectural choice, design question, strategic dilemma, or open-ended problem that benefits from multiple viewpoints. Triggers: "brainstorm", "explore ideas", "what are the options", "how should I approach", "pros and cons", "compare approaches", "what do you think about", "best way to", "should I use X or Y", "what's the best approach", "help me decide", "trade-offs", "alternatives", "strategy for", "how would you", "what's your take", "opinions on", "which one", "recommend", "suggest", "ideas for", "possibilities", "ways to", "what direction", "where to start", "what's better".

Àmbit acadèmic 119 fa 7 mesos
Aedelon

research-protocol

Aedelon

Conduct rigorous research with proper citations (DOI, arXiv, PMID) and source triangulation. MUST BE USED when user asks: "what is SOTA", "recent developments", "compare X vs Y", "is it true that", "research says", "latest papers on", "scientific evidence", "studies show", "state of the art", "literature review", "find papers", "academic research", "benchmark results", "who published", "when was X released", "current best", "what does the research say", "evidence for", "peer reviewed". Searches multiple sources, evaluates reliability, states confidence level. NOT for verifying API signatures (use anti-hallucination) or general web search (use WebSearch directly).

Àmbit acadèmic 119 fa 7 mesos
cdeistopened

skill-stack-thumbnails

cdeistopened

Generate blog post thumbnails for Skill Stack using the brand aesthetic. Follows an iterative workflow - brainstorm concepts, get approval, generate with Gemini API.

Àmbit acadèmic 29 fa 9 mesos
alchemiststudiosDOTai

codebase-research

alchemiststudiosDOTai

This skill should be used when mapping or researching a codebase to understand its structure, patterns, and architecture. Use when the user asks to "map the codebase", "research how X works", "find all Y patterns", or needs to understand code organization. Produces factual structural maps in memory-bank/research/—no suggestions, no recommendations, just what exists. Uses ast-grep for structural pattern matching.

Àmbit acadèmic 105 fa 7 mesos
HJewkes

research

HJewkes

Use when the user asks to research a topic, investigate options, compare technologies, analyze a problem space, or gather information before making a decision — for both coding and non-coding work

Àmbit acadèmic 4 fa 8 mesos
magnusthovsland

arxiv

magnusthovsland

"Search arXiv papers by keyword, author, category, or ID."

Àmbit acadèmic 0 fa 4 mesos
krishanraja

evidence-research

krishanraja

Decision-grade research and due diligence for Krish. Use when asked to investigate, research, compare, verify, diligence, map a market, evaluate evidence, establish current truth, or produce a sourced recommendation; when claims are recent, disputed, niche, costly, or consequential; and when strategy depends on external facts. Do not use for a simple stable fact with one authoritative source or as a substitute for execution. Frame the decision first, prefer primary evidence, preserve contradictions and dates, separate fact from inference, and hand a claim-evidence matrix to strategy and verification.

Àmbit acadèmic 0 fa 1 mes
magnusthovsland

ocr-and-documents

magnusthovsland

"Extract text from PDFs/scans (pymupdf, marker-pdf)."

Àmbit acadèmic 0 fa 4 mesos
itzikiusa

vault-evidence-review

itzikiusa

Review Otto Vault repository documentation specifically for citation precision, claim-to-source support, source hierarchy, invented examples, stale contradictions, coverage-status evidence, and honest uncertainty. Use as a focused post-scan reviewer; do not author or repair docs.

Àmbit acadèmic 0 fa 3 mesos
kthorn

Finding Open Access Papers

kthorn

Use Unpaywall API to find free full-text versions of paywalled papers

Àmbit acadèmic 131 fa 12 mesos
kthorn

Subagent-Driven Literature Review

kthorn

Use parallel subagents for large-scale paper screening and deep dive analysis

Àmbit acadèmic 131 fa 12 mesos
kthorn

Getting Started with Research Superpowers

kthorn

Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal

Àmbit acadèmic 131 fa 12 mesos
kthorn

Traversing Citation Networks

kthorn

Smart backward and forward citation following via Semantic Scholar, with relevance filtering and deduplication

Àmbit acadèmic 131 fa 12 mesos
kthorn

Evaluating Paper Relevance

kthorn

Two-stage paper screening - abstract scoring then deep dive for specific data extraction

Àmbit acadèmic 131 fa 12 mesos
kthorn

Building Paper Screening Rubrics

kthorn

Collaboratively build and refine paper screening rubrics through brainstorming, test-driven development, and iterative feedback

Àmbit acadèmic 131 fa 12 mesos
kthorn

Answering Research Questions

kthorn

Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize

Àmbit acadèmic 131 fa 12 mesos
kthorn

Cleaning Up Research Sessions

kthorn

Safely remove intermediate files from completed research sessions while preserving important data

Àmbit acadèmic 131 fa 12 mesos
Agents365-ai

scholar-deep-research

Agents365-ai

Use when the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/papers, grant background, or any request that needs multi-source scholarly evidence with citations. Also trigger proactively when a user question clearly requires academic grounding (e.g. "what's known about X", "compare approach A vs B in the literature", "summarize the field of Y"). Runs an 8-phase (Phase 0..7), script-driven research workflow across 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa) with optional Semantic Scholar / Brave MCP enrichment, with deduplication, transparent ranking, dual-backend citation chasing (OpenAlex + Semantic Scholar), self-critique, and structured report output with verifiable citations.

Àmbit acadèmic 25 fa 5 mesos
bnadlerjr

researching-codebase

bnadlerjr

"Researches and documents existing codebase implementations. Use when exploring how code works, understanding architecture, answering 'how does X work?' questions, or gathering context before making changes. Produces structured research documents with code references."

Àmbit acadèmic 5 fa 8 mesos
DimitriGilbert

not-ai-writer

DimitriGilbert

Expert guide for creating authentic, human-sounding content that avoids AI-generated writing patterns. Use when reviewing, editing, or creating content to ensure it sounds genuinely human and avoids AI detection markers.

Àmbit acadèmic 5 fa 9 mesos
L-yifan

brainstorming-research-ideas

L-yifan

Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.

Àmbit acadèmic 5 fa 7 mesos
DimitriGilbert

the-council

DimitriGilbert

Expert council facilitation for complex decision-making. Use when you need multiple specialist perspectives on a subject, requiring thorough analysis, research-backed opinions, and structured deliberation to reach consensus or properly present diverging views.

Àmbit acadèmic 5 fa 8 mesos
L-yifan

creative-thinking-for-research

L-yifan

Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.

Àmbit acadèmic 5 fa 7 mesos
kimasplund

dialectical-reasoning

kimasplund

Thesis-antithesis-synthesis reasoning for navigating genuine trade-offs and conflicting requirements. Use when opposing forces are both valid, binary choices are false, or stakeholder conflicts need resolution. Unlike ToT (picks winner), DR synthesizes opposites. Example: "Centralized vs decentralized architecture" → Neither is "right"; find synthesis that captures benefits of both.

Àmbit acadèmic 5 fa 9 mesos