Academic
Academic writing, research, citations
lead-research-assistant
by 89jobrien
Identifies high-quality leads for your product or service by analyzing
academic-deai-zh
by zh4men9
当用户希望在不改变技术含义、引文关系、证据力度和学术语气的前提下，降低中文学术写作中的 AI 痕迹时使用。适用于中文论文摘要、引言、相关工作、方法、实验结果、讨论结论、投稿附信和回复信。默认使用“平衡”论断档位，限制高风险改动，并透明报告已改高风险项、跳过的高风险项和未修改但可疑的残留。
deep-research
by lodekeeper
Multi-agent deep research pipeline for complex questions (EIP analysis, architecture decisions, cross-client comparisons, protocol design). Use when single-shot answers are insufficient and you need decomposition, parallel investigation, adversarial critique, and a formal output document.
red-team-review
by richfrem
"(Industry standard: Review and Critique Pattern) Primary Use Case: Iterative generation paired with adversarial review, continuing until an 'Approved' verdict is reached. Orchestrated adversarial review loop. Use when: research, designs, architectures, or decisions need to be reviewed by red team agents (human, browser, or CLI). Iterates in rounds of research → bundle → review → feedback until approved."
multi-model-research
by krishagel
Orchestrate multiple frontier LLMs (Claude, GPT-5.1, Gemini 3.0 Pro, Perplexity Sonar, Grok 4.1) for comprehensive research using LLM Council pattern with peer review and synthesis
architecture-decisions
by jwilger
Architecture Decision Records with a four-phase lifecycle (RESEARCH → DRAFT → HOLD → MERGE). Activate when making technology choices, defining system boundaries, recording architectural decisions, or creating/updating ARCHITECTURE.md. Enforces research-before-writing and explicit merge authorization.
write-research-doc
by eveld
Use when documenting research findings to create properly structured research documents with frontmatter, sections, and file references.
spawn-planning-agents
by eveld
Use when creating implementation plans to research codebase patterns and gather context for planning.
work-intake
by troykelly
Entry point for ALL work requests - triages scope from trivial to massive, asks clarifying questions, and routes to appropriate planning skills. Use this when receiving any new work request.
spawn-research-agents
by eveld
Use when conducting codebase research to orchestrate specialized agents in parallel for comprehensive investigation.
research-after-failure
by troykelly
Use after 2 consecutive failed attempts at solving a problem - STOP guessing and research documentation, codebase, and online resources before resuming
biorxiv-database
by hxk622
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
denario
by hxk622
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
financial_research
by hxk622
面向股票/行业/宏观的金融研究技能，结合结构化金融数据（OpenBB/AkShare）与多源信息验证，生成带引用与免责声明的研究报告。
hmdb-database
by hxk622
Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.
summary
by minhuw
This skill should be used when providing concise summaries of research paper text. Use for quickly understanding the core content, arguments, and contributions of paper sections targeting top-tier computer science conferences.
pre-mortem
by alunadev
"Runs a structured pre-mortem on a PRD or launch plan, categorizing risks as Tigers, Paper Tigers, and Elephants, with launch-blocking action plans. Use before any significant product launch or execution milestone. Triggers on: pre-mortem, risk analysis, launch readiness, what could go wrong, launch risks, risk mitigation, launch blockers, stress-test plan."
writing-designs
by boojack
Researches how the industry solves a defined issue, collects references from engineering blogs, open-source projects, and technical articles, then produces a design document with industry baseline, research summary, design goals, non-goals, and proposed design. Use when an issue definition exists in docs/issues/ and a concrete design is needed before implementation begins.
academic-deep-research
by MarjorieBroad
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native SkillBoss platform tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
research-verification
by swannysec
Pre-flight verification checklist for research tasks. Use DURING research when gathering information about external systems, APIs, registries, or configurations. Prevents assumptions from becoming errors. Apply before finalizing plans or documentation.
ai-product-strategy
by oldwinter
"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."
execute
by benredmond
Orchestrator that runs the full APEX workflow (research → plan → implement → ship) in a single session. Use for tasks you want to complete without context switches.
review-plan
by benredmond
Advisory plan review - validates plan correctness and identifies gaps before implementation. Works on any task with research and plan sections.
ai-dev-research
by swannysec
World-expert deep technical research agent for AI-enabled software development. Use PROACTIVELY when users need: (1) Deep research on AI/ML development topics (RAG, agents, LLMs, embeddings, vector DBs, prompt engineering, fine-tuning) (2) Technical consultation on AI architectures, tool selection, or implementation approaches (3) Implementation guidance with production-ready patterns and best practices (4) Comparative analysis of AI frameworks, models, or services (5) Current state-of-the-art analysis with authoritative citations Triggers: "research AI", "compare LLMs", "RAG architecture", "agentic workflow", "AI coding tools", "which model should I use", "how does X work in AI", "best practices for AI development", "production AI systems", "AI implementation guidance"