Academic
Academic writing, research, citations
web3-research
by XSpoonAi
Web3, cryptocurrency, and blockchain research skill for comprehensive crypto market and technology analysis
ln-222-story-replanner
by levnikolaevich
Replans Stories when Epic requirements change. Compares IDEAL vs existing, categorizes operations (KEEP/UPDATE/OBSOLETE/CREATE), executes in Linear.
ln-230-story-prioritizer
by levnikolaevich
RICE prioritization per Story with market research. Generates consolidated prioritization table in docs/market/[epic-slug]/prioritization.md. L2 worker called after ln-220.
ln-220-story-coordinator
by levnikolaevich
CREATE/REPLAN Stories for Epic (5-10 Stories). Delegates ln-001-standards-researcher for standards research. Decompose-First Pattern. Auto-discovers team/Epic.
ln-221-story-creator
by levnikolaevich
Creates Stories from IDEAL plan (CREATE) or appends user-requested Stories (ADD). Generates 8-section documents, validates INVEST, creates in Linear. Invoked by ln-220.
parallel-deep-research
by parallel-web
"ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead."
ln-520-test-planner
by levnikolaevich
"Orchestrates test planning pipeline (research → manual → auto tests). Coordinates ln-521, ln-522, ln-523. Invoked by ln-500-story-quality-gate."
ln-200-scope-decomposer
by levnikolaevich
"Orchestrates full decomposition (scope → Epics → Stories → RICE prioritization) by delegating ln-210 → ln-220 → ln-230. Sequential processing. Epic 0 for Infrastructure."
ln-001-standards-researcher
by levnikolaevich
Research standards/patterns via MCP Ref. Generates Standards Research for Story Technical Notes subsection. Reusable worker.
paper-audit
by bahayonghang
Unified paper audit skill supporting Chinese & English academic papers. Supports LaTeX (.tex), Typst (.typ), and PDF (.pdf) input formats. Three modes: self-check (pre-submission), review (peer review simulation), gate (quality gate pass/fail). Use when user mentions: audit, review, check paper, paper quality, pre-submission check, score paper, or any paper auditing task.
latex-thesis-zh
by bahayonghang
中文学位论文 LaTeX 助手（博士/硕士论文）。 Use when writing, reviewing, or improving Chinese LaTeX theses (PhD/Master). Use when user mentions 编译, 格式, 去AI化, 标题, 参考文献, 模板, 一致性, or any Chinese thesis quality task. 支持多种学校模板和 GB/T 7714 国标格式。 触发词（可独立调用任意模块）： - "compile", "编译", "xelatex" → 编译模块 - "structure", "结构", "映射" → 结构映射模块 - "format", "格式", "国标", "GB/T" → 国标格式检查模块 - "expression", "表达", "润色", "学术表达" → 学术表达模块 - "logic", "coherence", "逻辑", "衔接", "methodology", "方法论" → 逻辑衔接与方法论深度模块 - "long sentence", "长句", "拆解" → 长难句分析模块 - "bib", "bibliography", "参考文献" → 参考文献模块 - "template", "模板", "thuthesis", "pkuthss" → 模板检测模块 - "deai", "去AI化", "人性化", "降低AI痕迹" → 去AI化编辑模块 - "title", "标题", "标题优化", "生成标题" → 标题优化模块 - "consistency", "一致性", "术语" → 一致性检查模块
GRADE-on-Ingest
by jmagly
@agentic/code/frameworks/sdlc-complete/skills/citation-guard/SKILL.md - Citation guard
citation-guard
by jmagly
@.aiwg/research/docs/grade-assessment-guide.md - GRADE methodology
deep-research
by 199-biotechnologies
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.
user-insight-synthesis
by rsmdt
Interview techniques, persona creation, journey mapping, and usability testing patterns. Use when planning research, conducting user interviews, creating personas, mapping user journeys, or designing usability tests. Essential for user-research, requirements-analysis, and interaction-architecture agents.
codebase-research
by 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.
conducting-user-interviews
by RefoundAI
Help users run better customer and user interviews. Use when someone is preparing for user research, planning discovery interviews, writing interview questions, analyzing interview findings, or trying to understand customer needs.
beamer-presentation
by meleantonio
Create academic presentations in Beamer with professional themes
book-idea-validator
by robertguss
Stress-test book concepts against existing research before committing to architecture. Use when the user has a Book Concept Document ready for validation, wants to verify their thesis is defensible, needs to understand the competitive intellectual landscape, or wants honest assessment of their idea's strengths and weaknesses. Produces a Validation Report that informs the Go/No-Go decision. Nonfiction only.
book-ideation
by robertguss
Develop raw book ideas into structured nonfiction book concepts. Use when the user wants to develop a book idea, has brainstorm documents to refine into a book concept, wants to articulate a book's thesis/promise/reader/transformation, or needs to prepare a book concept for validation and market research. Nonfiction only. Produces a Book Concept Document with all elements needed for downstream skills (idea-validator, market-research, book-architect).
stock-question-refiner
by liangdabiao
股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格（价值/成长/困境反转）、持有周期（短/中/长线）、风险偏好、研究重点，生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。
literature-review
by poemswe
You must use this when synthesizing existing knowledge, identifying research gaps, or tracing the evolution of scientific ideas.
arxiv-search
by aws-samples
Search and retrieve scientific papers from ArXiv
deep-research
by feiskyer
'深度调研的多实例（多 Agent）编排工作流：把一个调研目标拆成可并行子目标，用 Codex CLI（codex exec）在默认 workspace-write 沙箱内运行子进程；联网与采集优先使用已安装的 skills，其次使用 MCP 工具；用脚本聚合子结果并分章精修，最终交付“成品报告文件路径 + 关键结论/建议摘要”。用于：系统性网页/资料调研、竞品/行业分析、批量链接/数据集分片检索、长文写作与证据整合，或用户提及“深度调研/Deep Research/Wide Research/多 Agent 并行调研/多进程调研”等场景。'