学术
学术写作、研究与引用
Bankr Agent - Market Research
BankrBot
This skill should be used when the user asks about "token price", "market data", "technical analysis", "sentiment", "trending tokens", "price chart", "market cap", "token research", "what's the price of", "analyze token", or any market research query. Provides guidance on token research, analysis, and market intelligence.
debug-like-expert
ScientiaCapital
"Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when: standard troubleshooting fails, systematic root cause analysis needed, complex bugs, mysterious errors."
planning-prompts
ScientiaCapital
"Comprehensive skill for project planning and prompt engineering. Covers hierarchical plans (briefs, roadmaps, phases), Claude-to-Claude meta-prompts, and multi-stage workflows. Use when: planning, prompt creation, agentic pipeline work, project roadmap, meta-prompts, research to implement workflow."
research
ScientiaCapital
"Market intelligence, competitive analysis, technical evaluations, and technology decisions. Use when researching companies, analyzing competitors, evaluating frameworks, or making tech stack decisions."
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".
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).
cite-them-all
erafat
Academic reference agent that identifies claims needing citations, searches PubMed/bioRxiv/medRxiv via MCP tools, and adds properly formatted references to Markdown manuscripts
writing-intelligence
antonio0720
Sovereign Writing Intelligence Compiler v2.0 — 7-pass pipeline, signature-grade prose, zero AI residue. Fiction intelligence engine: chapter construction, 12 character roles, dialogue warfare (22 techniques, 9 tension elements), power dynamics, 8-phase tension compression, thriller architecture, transmedia deepening. 7 scoring systems. 16 genres. 8 voices. Trigger on: write, rewrite, edit, draft, revise, ghostwrite, prose, essay, chapter, sermon, speech, pitch, memo, narrative, dialogue, scene, thriller, suspense, tension, pacing, character voice, foreshadowing, subtext, score draft, grade writing, audit prose, anti-slop, AI detection, writing quality, improve writing, chapter construction, scene architecture, character roles, power dynamics, confined space, staging, cold open, fatal detail, silence, callback, worldbuilding, transmedia, lore bible, audio drama, scene audit, role audit, power map, plant audit, novel, short story, screenplay, creative writing, thriller writing, mystery, espionage.
spec-driven
adeonir
Specification-driven development with structured phases: Initialize, Plan, Tasks, Implement+Validate. Creates structured feature specs with traceability to requirements. Use when: starting projects, planning features, implementing with verification, or tracking decisions across sessions. Triggers on "map codebase", "initialize", "initialize project", "create feature", "plan", "tasks", "implement", "validate", "archive".
financial-deep-research
rebyteai-template
Conduct enterprise-grade financial research with multi-source synthesis, regulatory compliance tracking, and verified market analysis. Use when user needs comprehensive financial analysis requiring 10+ sources, verified claims, market comparisons, or investment research. Triggers include "financial research", "market analysis", "investment analysis", "due diligence", "financial deep dive", "compare stocks/funds", or "analyze [company/sector]". Do NOT use for simple stock quotes, basic company lookups, or questions answerable with 1-2 searches.
deep-research
rebyteai-template
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.
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.
community-building
liqiongyu
"Build a Community Building Pack (strategy, platform plan, programming calendar, ambassador program, governance, metrics, launch plan). Use for community building, community-led growth, developer community, user community, ambassador/champions programs, Discord/Slack/forum communities. Category: Marketing."
ai-product-strategy
liqiongyu
"Create an AI Product Strategy Pack (thesis, prioritized use cases, system plan, eval + learning plan, agentic safety plan, roadmap). Use for AI product strategy, LLM/agent strategy, AI roadmap, AI-first product direction."
ljg-xray-paper
lijigang
"Paper X-ray. Extracts what the paper says (problem-perspective-result) and what it means for lijigang (cognitive delta cards in ASCII art). Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Usually called via ljg-xray router. Do NOT use for blog posts or non-academic articles (use ljg-xray-article instead)."
research
TechNickAI
"Use when current web info needed, verifying APIs still work, checking latest versions, or avoiding outdated implementations"
science-writing
fmschulz
Write publication-quality scientific manuscripts with DOI validation and structured reference management.
UX Researcher
viamin
Expert in user research, usability testing, feedback analysis, and user-centered design
literature-synthesis
dozybot001
Synthesize literature, findings, or multiple sources into a coherent report. Use when task involves literature review, synthesizing research, or combining multiple inputs into themes and conclusions.
notion-meeting-intelligence
makenotion
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.
notion-research-documentation
makenotion
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
clarify
corca-ai
"Unified requirement clarification to prevent downstream implementation churn by resolving ambiguity early. Default: research-first with autonomous decision-making and persistent questioning. --light: direct iterative Q&A. Triggers: \"cwf:clarify\", \"clarify this\", \"refine requirements\""
plan
corca-ai
"Agent-assisted plan drafting to define a reviewable execution contract before coding. Reuses gather/clarify evidence first, fills unresolved gaps with targeted research, applies BDD success criteria and cwf:review integration, then persists plan+lessons as runtime-independent files for plan→impl→review continuity. Triggers: \"cwf:plan\", \"plan this task\""
humanizer
acedergren
Detect and fix AI writing patterns including overused phrases (testament to, pivotal, landscape, delve), structural tells (rule of three, em dash overuse, negative parallelisms, copula avoidance), promotional language, and vague attributions. Use when user asks to "make text sound human", "remove AI tells", "humanize writing", mentions patterns like "too many dashes" or "sounds like ChatGPT", or requests natural/conversational tone. Triggers: AI-generated, humanize, writing style, natural writing, human voice, ChatGPT sound, remove AI patterns, conversational tone, writing voice. Credits: Based on Wikipedia's Signs of AI writing guide by @blader