Research & Search

yipng05-max Skill

TA（主题分析）讨论与结论章节写作工具。将研究发现与理论/文献展开对话， 根据理论定位（A/B/C）生成跨主题综合、理论对话、研究贡献、局限性与结论。 当用户需要撰写讨论章节、结论部分，或在 ta-research-workflow 中到达"讨论写作"检查点时触发。

yipng05-max Skill

TA（主题分析）专属理论框架建构工具。引导研究者在数据分析前明确理论定位（理论驱动/经验驱动/敏感性概念）， 评估候选理论，确定核心概念及其操作化定义，输出供 ta-framework-writer 直接调用的框架文档。 当用户提到需要为主题分析研究建立理论框架、选择理论视角、确定理论定位， 或在 ta-research-workflow 中到达"理论框架建构"检查点时触发。

yipng05-max Skill

TA（主题分析）研究全流程全自动AFP工作流协调器。无需用户逐步确认， 系统自主完成全部12个检查点，遇到卡点自动处理或跳过，最终输出完稿清单 与决策日志。决策节点（理论定位/叙事结构/标题摘要关键词）依据上下文自动选择 最优方案，所有自动决策均记录在最终报告中供研究者审阅。 与 ta-research-AFP（逐步确认版）互补：偏好全程参与用 AFP，偏好一键完成用本 skill。 触发词："一键完成TA论文""全自动TA研究流程""启动TA自动化工作流" "自动完成主题分析全流程""TA论文一键生成""不需要我确认，自动跑完"。 注意：不响应泛化触发词（如"启动AFP""自动写论文"），这些词留给其他工作流。

yipng05-max Bundle

顶刊论文文献综述（Literature Review）写作工具。根据用户提供的研究选题/研究问题， 自动检索真实学术文献，核实文献真实性，并以顶级期刊（如AMJ, ASQ, SMJ, MISQ, OS, JCR, JMR等） 的写作标准撰写文献综述部分。采用漏斗型结构，强调文献间的脉络关系、演进趋势和研究空白。 当用户提到需要写文献综述/literature review、提供研究选题/研究方向/research topic， 或要求以顶刊风格撰写综述时触发此skill。 注意：本skill用于写作文献综述，不同于paper-analyzer（用于拆解已有论文）。

yipng05-max Skill

学术论文标题/摘要/关键词生成工具。分三步执行： 第一步生成4个候选标题（不同角度+适用场景+优劣分析）， 第二步生成3个摘要版本（不同结构与侧重）， 第三步生成2组关键词方案（不同检索策略，每词附纳入理由）。 每步暂停等待用户选择，再进行下一步。 当用户需要生成论文标题/摘要/关键词，或在ta-research-AFP检查点10时触发。

enthrium Bundle

Search the web via Perplexity and synthesize findings with citations. Use when you need current, sourced information on any topic for research or reporting.

enthrium Bundle

Summarize Slack channel activity and post a daily digest message. Use when you need to recap recent discussions or automate team communication summaries.

enthrium Skill

Draft a personalized outbound sales email using prospect research. Use when you have prospect context and need a cold outreach email written.

enthrium Skill

Summarise AI Trends in 2026 in exactly 3 bullet points

enthrium Skill

Summarise the previous step's output as bullet points

enthrium Skill

Research a company and contact for outbound sales. Use when you need company background, tech stack, or contact details before reaching out.

b-m-capital-research Skill

Admin-only skill for launching deep research on a specific company for about 1-2 hours while reporting progress every minute

baronguyen001 Bundle

Pull recent email over IMAP, keep only messages from an allowlist of trusted sender domains, and render a daily digest - credentials from env using a provider app-password, never a login password. Use for email digest, fetch newsletters by IMAP, summarize inbox daily, gmail app password fetch, or build a morning email roundup.

darkmatter Bundle

Multi-pass refactor / code-quality cleanup designed to be dispatched as 8 specialist subagents (one per cleanup concern), each running a research → critical-assessment → high-confidence-implementation cycle. Triggers on "clean up the codebase", "tech-debt pass", "refactor for quality", "find dead code", "remove AI slop", or any explicit request for a comprehensive quality sweep. Do NOT trigger for narrow targeted fixes ("remove this one function") or for net-new feature work.

darkmatter Bundle

Run a GPT-5.5 critique of the work just produced in the current turn — applied diffs, proposed plans, or both. Triggers at end-of-turn (via Stop hook) or on explicit request ("review what you just did", "critique this plan", "second-opinion this before I commit"). Returns a verdict (LGTM / notes / block) plus specific issues with file:line citations. Do NOT trigger for trivial 1-3 line changes, doc-only edits, or read-only research turns.

mangowhoiscloud Skill

Answer questions by searching the compiled Obsidian wiki. Use this skill when the user asks a question about their knowledge base, wants to find information across their wiki, asks "what do I know about X", "find everything related to Y", or wants synthesized answers with citations from their wiki pages. Also use when the user wants to explore connections between topics in their wiki. Works from any project. Includes an index-only fast mode triggered by "quick answer", "just scan", "don't read the pages", "fast lookup" — returns answers from page summaries and frontmatter without reading page bodies.

mangowhoiscloud Bundle

Ingest documents into the Obsidian wiki by distilling their knowledge into interconnected wiki pages. Use this skill whenever the user wants to add new sources to their wiki, process a document or directory, import articles, papers, or notes into their knowledge base, or says things like "add this to the wiki", "process these docs", "ingest this folder". Also triggers when the user drops a file and wants it incorporated into their existing knowledge base. Also handles raw mode: "process my drafts", "promote my raw pages", or any reference to the _raw/ staging directory.

mangowhoiscloud Skill

Show the current state of the wiki — what's been ingested, what's pending, and the delta between sources and wiki content. Use this skill when the user asks "what's the status", "how much is ingested", "what's left to process", "show me the delta", "what changed since last ingest", "wiki dashboard", or wants an overview of their knowledge base health and completeness. Also use before deciding whether to append or rebuild. Includes an insights mode triggered by "wiki insights", "what's central", "show me the hubs", "central pages", "what's connected", "wiki structure" — analyzes the shape of the wiki itself to surface top hubs, cross-domain bridges, and orphan-adjacent pages.

mangowhoiscloud Skill

Sync the current project's knowledge into the Obsidian wiki. Use this skill from any project when the user says "update wiki", "sync to wiki", "save this to my wiki", "update obsidian", or wants to distill what they've been working on into their knowledge base. This is the cross-project skill that lets you push knowledge from wherever you are into the vault.

mangowhoiscloud Skill

Recommend a Crumb preset (ambient / video-research / mock) based on the user's setup intent. Trigger on "preset 추천", "추천해줘", "어떤 셋업", "which preset", "suggest a config", "혼자 돌릴까", or hints about installed tools / API keys. Output: recommended preset + reason + alternatives. Default recommendation = ambient (no --preset, entry host follows every actor). Crumb suggests only — user picks. Read-only. Do NOT trigger for game pitches (use `crumb` skill) or status checks (use `crumb-status` skill).

allanbian1017 Bundle

Reviews today's reports in ./reports/ and generates a synthesized Knowledge Distillation document in reports/distillations/. Use this skill whenever the user asks to "summarize today's reports", "distill today's knowledge", "run daily distillation", or "update the knowledge distillation document". It ensures technical insights about AI Agents and Context Engineering are preserved and systematized.

allanbian1017 Bundle

Deconstruct any research paper, technical proposal, system architecture, or engineering concept into a structured 4-part analytical breakdown: Problem & Motivation, Candidate Options & Tradeoffs, Chosen Solution & Rationale, and Empirical Results. Trigger whenever the user asks to 'deconstruct this paper', 'analyze this technical concept like CodeNib', 'deep dive into [paper/RFC/architecture]', 'break down this technical proposal', or requests a structured 4-part breakdown (problem, options, solution, results) of a technical innovation.

qwwiwi Bundle

Транскрипт YouTube роликов через TranscriptAPI.com. ОБЯЗАТЕЛЬНО используй этот скилл когда: (1) пользователь присылает YouTube ссылку (youtube.com, youtu.be), (2) просит рассказать о чём видео, (3) просит транскрипт/субтитры, (4) говорит «что в этом видео», «о чём ролик», «перескажи видео», (5) любой запрос связанный с содержимым YouTube видео. Триггеры: YouTube ссылка, «транскрипт», «о чём видео», «что говорят в видео», «перескажи ролик», «summarize video», «get transcript». НЕ использовать yt-dlp или youtube-transcript-api -- только этот скилл.

qwwiwi Bundle

Research YouTube for content strategy — find what's taking off in a niche, scan competitor channels, rank videos by views and by view-velocity, and pull any video's transcript. Use this WHENEVER you need to research YouTube, find trending/viral videos on a topic, see what's blowing up on YT, scan a competitor's channel, get a YouTube video's transcript or 'what's in this video', or gather YouTube content ideas from what's working — even if the skill isn't named. Search and stats run keyless via yt-dlp; transcripts go through TranscriptAPI; a YouTube Data API key is optional for cleaner search.

qwwiwi Skill

Веб-ресёрч через Perplexity Sonar API. Используй когда нужен актуальный поиск в интернете, факт-чек, анализ трендов, best practices. Триггеры: «загугли», «найди», «ресёрч», «что говорят про», «best practices», «как правильно», «perplexity».

talgacapri Skill

Scan industry news, summarize important emails, check today's calendar, and send a 60-second brief to Slack DM. Runs automatically via GitHub Action at 6 AM GST or on-demand. Triggers on: morning brief, daily brief, news brief, what did I miss, catch me up, brief me.

talgacapri Skill

Find new or contradictory external signals (web search, Reddit, Hacker News, Quora) and stage only validated learnings in memory/long-term-memory.md. Use when the user asks for new research, fresh strategies/tools announcements, or contradiction checks against existing docs.

ligphidonk Skill

Search existing paper notes by title, author, keyword, or research domain

ligphidonk Skill

Daily paper recommendation workflow — search arXiv and Semantic Scholar, score and recommend papers

ligphidonk Skill

Comprehensive research assistant that synthesizes information from multiple sources with citations.

ligphidonk Bundle

Creates formal academic research papers following IEEE/ACM formatting standards with proper structure, citations, and scholarly writing style.

ligphidonk Bundle

Core skill for the deep research and writing tool.

ligphidonk Skill

Academic research assistant for literature reviews, paper analysis, and scholarly writing.

ligphidonk Bundle

Facilitates structured brainstorming sessions, conducts comprehensive research, and generates creative solutions using proven frameworks.

ligphidonk Skill

Research Paper Handoff

ligphidonk Bundle

Generates 2-4 candidate research directions from survey results, presents them with pros/cons for user selection, and converges to a publishable angle.