Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Long-term memory management system — helps AI and users manage, store, and retrieve long-term memories. Supports memory categorization, tag management, importance scoring, automatic compression, and cross-session memory retention. Suited to scenarios that need long-term information tracking, knowledge base building, and historical context maintenance.
Proficiency calibration specialist to plan skill progression the way a civil engineer thinks about load-bearing capacity—**measured, validated, and progressive**, by applying 40+ years of CEFR research, 70+ years of Bloom's taxonomy, and modern DigComp frameworks to create internationally recognized, measurable proficiency progressions.
Use when designing organizational structure (team topologies, Conway's Law alignment), mapping stakeholders by power-interest for change initiatives, defining team interface contracts (APIs, SLAs, decision rights, handoffs), assessing capability maturity (DORA, CMMC, agile maturity models), planning org restructures (functional to product teams, platform teams, shared services), or when user mentions "org design", "team structure", "stakeholder map", "team interfaces", "capability maturity", "Conway's Law", or "RACI".
Keep this Mac awake for a stated period using miserlymouse, replacing whatever timed assertion is already running without letting the machine sleep during the handover, and without disturbing an assertion held on behalf of a running job. Use when asked to keep the machine or laptop running, awake, or alive for another hour or two, to keep it from sleeping or going to sleep for a while, to stay awake until some clock time, or to check how much longer the machine will stay awake.
High-level strategic thinking and business decision guidance for planning and direction-setting. Use when: making strategic decisions, evaluating business options, setting direction, analyzing trade-offs, or when user mentions strategy, business planning, competitive analysis, or long-term planning
Implements Syncfusion WinUI Kanban (SfKanban) control for workflow visualization and task management. Use this when building Kanban boards, agile project tracking, or workflow management systems in WinUI applications. This skill covers cards, columns, swim lanes, WIP limits, drag-and-drop, workflows, sorting, events, and customization.
ADHD-optimized task state machine with abandonment detection and interventions. Use when: (1) user initiates any task, (2) providing solutions to problems, (3) detecting context switches, (4) user says "done", "completed", "finished", (5) session ends with pending tasks, (6) >30 minutes since solution provided. Tracks complexity, clarity, domain (BUSINESS/MICHAEL/FAMILY/PERSONAL), and triggers interventions.
Turn the full transcript of a multi-person meeting (such as weekly meeting records exported from DingTalk/Feishu) into the body of a single person's weekly report email. Automatically extracts the specified member's (default 王鑫) "this week's work/this week's progress" and "next week's plan", drafts a "new technology/personal reflections" paragraph based on this week's work (including self-taught new technologies), and outputs a three-paragraph email body with a subject line, ready to copy and send. User invocation: /weekly-report [member name].
This skill should be used when a team wants to create or refine the project vision document — for example "create the vision document", "write our product constitution", "define the product principles", "document our bounded contexts", "what is our product vision", "set up the steering docs", "update our vision", "revise the product strategy", "align on product goals", "what are we building and why", "who are our users", "capture our product purpose", or "the vision doc is outdated". Generates docs/steering/VISION.md as a living document capturing product purpose, target users, principles, strategic goals, and bounded contexts. Generated once and refined — not regenerated from scratch.
Product manager Yunxiao (Projex) automation: record requirements (compressed pick 1a2b3a4d: type only new/optimize, project, priority, tags), pick Yunxiao projects in real time, advance 待处理→已确认→分析中→设计中→设计完成→待开发, controlled requirement cancellation after development, delivery tree 【交付】ASSOCIATED /【分析】【设计】TASK_SUB, for no-single fast track and numbered direct push, hand off to a delivery owner who is already specified and uniquely confirmed by official read-back, create iterations and attach 【交付】 (not requirements). Use when the user says YunxiaoPM, 需求任务, 记录需求, 受理确认, 开始分析, 开始设计, 设计完成, 交棒开发, 快轨待开发, 编号直推, 创建迭代, 关闭迭代, 取消需求, 拉取待验收需求, 验收通过, 验收不通过, 验收续跑. All Yunxiao reads and writes prefer the official aliyun devops CLI/PAT; only "close iteration" may fall back to a controlled visual flow when the verified CLI lacks the corresponding status action, without relying on browser cookies. Do not create 【开发】/【测试】. Writes that create or expand scope use Plan first, then apply; idempotent refresh, continuation and re-read-back of the same batch with explicit numbers need no repeated confirmation; do not align with yunxiao-requirement-lifecycle. Development Skill after handoff: only for 【优化】 type, refine from the requirement MD and write the "pre-modification rules"; after the PM modifies the PRD/prototype, generate and read back the product handoff snapshot.
Fetches the latest daily review notes from 36Kr AI reviews. Use when the user asks about 36kr AI测评, AI测评笔记, 测评笔记, ainotes, 36kr测评, 查AI测评, 最新AI测评笔记, 今日AI测评, 36kr ainotes, 看测评, 查看测评内容, 36kr AI产品测评, 产品测评笔记, 今天有什么测评, 有哪些AI产品被测评了, 36aidianping测评笔记, 36kr ai notes.
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆.
Proactively use AgentLoop Recall to retrieve prior Alibaba Cloud AgentLoop experience through the bundled SearchContext CLI whenever the user asks or implies that prior work may help. Trigger for requests to check, search, recall, retrieve, look up, review, consult, reference, or compare prior experience, historical troubleshooting cases, past fixes, comparable incidents, lessons learned, old runbooks, previous remediations, or successful workflows before or during work. Also trigger for Chinese requests such as 先查历史经验、回忆类似案例、召回过往排障记录、看看之前有没有处理过类似问题、参考以前怎么处理、找找之前的踩坑记录、翻一下历史排障、有没有类似经验、先看看过去的案例.
Search and retrieve research papers from AlphaXiv. Use when asked to search papers by title or topic, get paper details/metadata/metrics, retrieve AI overviews or summaries, find trending or top AI papers, get similar papers, browse implementations, look up SOTA benchmarks, or ask questions about a specific paper.
This skill should be used when the user asks about "documentary", "documentary research", "interview questions", "documentary treatment", "archival research", "documentary ethics", "act as a documentary researcher", "documentary mode", "non-fiction film", "documentary proposal", "documentary subject research", "oral history", "verite", "observational documentary", or needs expertise in documentary research methodology, interview preparation, treatment writing, and ethical frameworks for non-fiction filmmaking. Part of the AlterLab FC Skills collection (Cinema & Digital Media department).
This skill should be used when the user asks about "media theory", "critical theory", "academic writing", "Foucault", "Habermas", "McLuhan", "Baudrillard", "Stuart Hall", "act as a media theory companion", "media theory mode", "theoretical framework", "literature review", "discourse analysis", "semiotics", "cultural studies", "political economy", or needs expertise in applying media and communication theory to academic writing and critical analysis. Part of the AlterLab FC Skills collection (New Media & Communication department).
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
Augur — a local-first investment research memory system: 18 investor personas analyze independently and form a weighted consensus. Evidence is time-aware, and every run is reviewable. CLI / Dashboard / MCP. A local-first research memory system with 18 investor personas.
Create a structured change management plan for any organisational change. Use when asked to write a change management plan, manage a change initiative, plan a system rollout, or lead an organisational transformation. Produces a plan covering stakeholder analysis, impact assessment, communication strategy, and resistance management.
Use when facing a consulting challenge and needing structured methodology guidance: client anchored on wrong solution, messy problem needing structure, building a skeptic-proof recommendation, conflicting data sources, project at risk, or stuck on which approach to apply. Single entry point for all consulting playbook coaching.
The unified adaptive learning tool of 边淬火. Handles all requests whose main purpose is learning progress: concepts, propositions, mechanisms, chapters, articles, books, thinkers, schools of thought, theoretical systems or complex domains; it can also find evidence-backed candidate knowledge gaps from corpora the user explicitly provides, such as articles, notes, chats and answers, give prompts and move into resolving them. Each lecture must deliver a standalone, complete Chinese handout that can be read continuously, followed by 2–4 targeted questions and a free-speaking area; the user's per-question answers, the verbatim free-speaking content, the AI's explanations, knowledge gaps, path changes and next actions must be deposited in layers and used to adjust subsequent learning, and can continue across sessions. Triggers: 「淬火学习」「学习 X」「教我 X」「讲清楚 X」「系统学习 X」「精读 X」「根据我的语料找知识缺口」「继续学习」「下一讲」. If the user's main job is personality, emotion, relationships, business diagnosis, content production, decision-making or execution rather than learning, hand it over to the corresponding Skill.
Use this skill for deep, multi-source web research with cited synthesis whenever the user wants to "research X", "deep research on Y", "deep dive on Z", "investigate this topic", "compare X and Y", "pros and cons of X", or "survey the landscape of Y" — even if they never say "research", any ask needing several independent sources cross-referenced and cited counts. Do NOT use this skill for a single fact one WebSearch answers, for reviewing code (see code-review), or for exploring files in the current repo (use Explore).
Walk a person through a subject, codebase, whitepaper, or complex system until they genuinely understand it. Use whenever the user wants to understand or learn something: "explain X", "walk me through this repo/paper", "help me understand how Y works", "onboard me onto Z" — even if they never mention a learning method. Explains with Feynman-grade simplicity (plain language, analogy, concrete example before abstraction) and research-backed structure (big picture first, one segment at a time, checks matched to the goal), gauges understanding only AFTER the walkthrough to see where more coaching helps, and produces a standalone, sharable reference explainer — persisted as an Open Knowledge Format (OKF) bundle with source fingerprints pinned, so later sessions can review the knowledge and refresh it diff-aware when the codebase, document, or topic changes. A guided walkthrough, not a study regimen: retention tooling (spaced retrieval, self-quizzing, review schedules) exists but is strictly opt-in.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Orchestrate a research paper end-to-end — from raw idea through literature grounding, experiment design, implementation, results, writing, submission, rebuttal, and artifact release. Use whenever the user wants to drive a whole paper rather than one stage: "help me write this paper from scratch", "where am I in the paper process", "what should I do next on this project", "take this from idea to submission", "I have results, get me to a draft", "manage my paper workflow", or hands over a project and asks for the path to a venue. Also use it for the writing phase itself — "draft the introduction", "outline this paper", "how should I structure this", "turn this spine into a draft", "my first paper" — which it owns as a phase-gated stage-group (stage 10) rather than delegating. This is otherwise a ROUTER that sequences existing singleton skills with stage gates; it does not do the ideation or experiments itself. For a single narrow section, invoke that section's skill directly (e.g. abstract-and-intro-writer, method-section-writer, results-writeup). For PhD application packages use flow-phd-application. For talks/decks use the presentation skills.
Personal assistant for Google Workspace using gog CLI. Search Gmail, manage Calendar, organize Drive, update Sheets, track Tasks, and look up Contacts. Use when triaging email, scheduling meetings, finding availability, searching documents, managing tasks, or interacting with any Google service from the terminal.
Search and analyze X (Twitter) using xAI Grok 4 via OpenRouter with Live Search. Trigger on prompts that explicitly or implicitly ask to "search Twitter/X", "what's trending", "tweets from @handle", "hashtag #…", "what are people saying", or that require tweet-level activity/engagement from X.
Run condition-based vault health diagnostics. 8 categories — schema compliance, orphan detection, link health, description quality, three-space boundaries, processing throughput, stale notes, MOC coherence. 3 modes — quick (schema+orphans+links), full (all 8), three-space (boundary violations only). Returns actionable FAIL/WARN/PASS report with specific fixes ranked by impact. Triggers on "/health", "check vault health", "maintenance report", "what needs fixing".
Use historical analogies to inform strategic decisions by identifying structural similarities and differences between past and present situations. Use this skill when the user draws on historical precedent to justify a strategy, needs to evaluate whether a historical comparison is valid, or wants to learn from past events — even if they say 'this is like the dotcom bubble', 'history repeats itself', or 'what can we learn from how X handled this'.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.