Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Find fresh freelance and contract opportunities across multiple platforms for any skill set. Use this skill when a user asks "find me freelance React jobs", "Upwork gigs for Python developers", "freelance work posted this week", "contract jobs for designers", "find me remote freelance opportunities for [skill]", "I'm looking for freelance work", "what freelance gigs are available for [skill]", or any request to find paid freelance or contract work online.
[Hyper] Generate and prioritize differentiated ideas for stuck product, strategy, or innovation problems when ordinary brainstorming is too shallow. Saves structured multi-file analysis under .hypercore/genius-thinking/[topic-slug]/ with phase tracking.
Manus-level AI browser agent that drives Dhruv's REAL logged-in Chrome (any profile — AIV, Onsite, etc.) via natural-language commands. Persistent, human-paced, un-blockable (real session), LLM-driven so it survives obfuscated selectors. Use when Dhruv says "control my AIV / control my <profile>", or asks to browse, search, apply, engage, or automate anything in his real browser.
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.
Step-by-step guidance for the initial installation and setup of the Google Workspace CLI (gws). Covers npm installation, gcloud CLI installation, OAuth authentication, Claude Code skill installation, and Korean encoding setup. A guide for users using gws for the first time.
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
A communication and interpersonal advice consultant inspired by Tsai Kang-yung’s public content. Handles three scenarios: tactful refusals, difficult customer-service replies, and supporting students through their stories. First clarify the relationship and boundaries, then draft a warm but clear reply that makes no unwarranted promises and is ready to send. Also triggered by “Please have Tsai Kang-yung review this email,” “Help me refuse tactfully,” “I don’t know how to reply to a student’s letter,” or “Customer service is getting emotional.”
Parse, search, analyze, and ingest LinkedIn GDPR data exports into structured JSON or RLAMA for semantic search. Covers messages, connections, profile data, and Markdown export. Requires a LinkedIn GDPR ZIP file. Triggers on 'LinkedIn data', 'search messages', 'analyze connections', 'LinkedIn export', 'GDPR download'.
Use when surveying the competitive and market landscape for a product BEFORE it is built — deriving a market vocabulary map (category, capability, job-to-be-done, audience and seed- product terms with typed expansions and exclusion terms), executing ONE search angle across alternatives directories, review corpora, app stores, package registries, corporate and funding records, product graveyards and practitioner discussion, deep-reading ONE competing product into a dated record, or synthesising the competitor register and report that downstream document authoring consumes. Produces schema-validated artifacts whose coverage grid records every query as run, so a market with no competitor is distinguishable from a search that never ran. Dates every commercial fact and keeps a dead product as evidence. Keywords: market research, competitor analysis, competitive landscape, competitive intelligence, market prior art, alternatives, substitutes.
Memory query feature of an AI personal memory system. Retrieves memory files at each layer and combines multi-layer information to answer user questions. Use cases: (1) when the user asks "what do my memories say about XXX"; (2) when the user asks about their own habits, preferences, or values; (3) when advice needs to be based on the user's history. The skill automatically retrieves the L1-L4 layers, cites sources, and gives personalized answers grounded in memory.
Stress-tests business documents for logical gaps, unproven assertions, and structural weakness using the Amazon narrative standard, Minto's pyramid logic, and the Completed Staff Work doctrine. Use when evaluating memos, proposals, strategy docs, or any document headed to executive review.
Look up open and resolved DOB and ECB violations for any NYC building, with class, status, and penalty detail. Use when the user asks whether a building has violations, stop-work orders, or outstanding ECB penalties. NYC only; for housing-code violations use /as:nyc-hpd.
Look up HPD violations, complaints, and building registration for NYC residential buildings. Use when the user asks about housing-code violations, tenant complaints, or HPD registration at an address. NYC only; for DOB and ECB violations use /as:nyc-dob-violations.
Build and maintain a semester-long Obsidian course vault with course overviews, lesson notes, concept pages, graph hubs, replay-sync trackers, and replay-to-note workflows. Use when Codex needs to manage course knowledge in Obsidian, especially when BUAA replay artifacts should become structured lesson notes rather than raw transcripts.
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Conduct deep OSINT research on individuals. Build full digital footprint, psychoprofile (MBTI/Big Five), career history, social graph with confidence scores. Recursive self-evaluation until completeness threshold is met. Includes internal intelligence (Telegram history, email, vault contacts) before going external. Use when: "osint", "досье", "research person", "find everything about", "пробей", "разведка", "due diligence", "background check", "digital footprint", "найди всё про", "собери информацию", "кто это", "профиль человека". NOT for: company/product research without a named person, competitive analysis, market research, content generation, or general web scraping tasks.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexity troubleshooting requiring expert-level judgment and sophisticated reasoning chains. Prioritizes actively maintained repositories and validates website sources for 2025 relevance.
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
Fan-out search across all memory sources when context is unclear or vaguely referenced. Triggers on: 'from earlier', 'remember when', 'what we discussed', 'that thing with', 'the conversation about', 'did we ever', 'what happened with', 'you mentioned', 'we talked about', 'earlier today', 'last session', 'the other day', or any vague reference to past context that needs resolution before the agent can act.
Use when the user provides research materials, project background, experimental results, paper drafts, PR/repository information, or natural-language clues and wants to raise scientific questions, distill falsifiable hypotheses, find novel angles, or judge the value of a research idea on the basis of a literature survey. Not applicable: the user only needs a complete experimental protocol/analysis plan (prefer research-plan), only needs the main text of a literature review (prefer research-literature-review), or only needs ordinary brainstorming that requires no literature basis.
Researches restaurants and grocery/food delivery via the Crawlora API — Yelp reviews, OpenTable reservations, DoorDash and Uber Eats restaurant search/menus, and Instacart grocery search — returning clean JSON. Use when the user wants restaurant reviews or menus, delivery options near a location, or grocery product/store search.
Use this skill whenever the user wants to create, improve, optimize, review, or rewrite a resume, CV, curriculum vitae, or hoja de vida. Triggers include: any mention of 'resume', 'CV', 'curriculum', 'hoja de vida', 'job application', 'ATS optimization', 'resume review', 'cover letter', or requests to prepare documents for job applications. Also use when the user asks to tailor a resume to a specific job description, improve bullet points, add metrics/quantification, check ATS compatibility, translate a resume between languages, or create multiple versions of a resume. Use this skill even if the user just says 'help me get hired', 'optimize my application', 'I need to update my resume', or 'review my experience section'. Do NOT use for LinkedIn profile optimization, portfolio websites, or general document formatting unrelated to job applications.
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Use this when the user wants to deeply understand something through guided questioning. Trigger phrases include: "quiz me", "help me understand", "Socratic", "teach me", "walk me through with questions", "test my understanding", or when the user asks for an explanation and would benefit more from guided discovery than a direct answer.
Map stakeholders for a product decision and produce a tailored influence strategy with talking points. Use when asked to get alignment, build consensus, get buy-in from engineering or finance or legal, navigate organisational resistance, or plan stakeholder conversations for a major initiative. Produces a stakeholder map, recommended conversation sequence, and tailored talking points per stakeholder.
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.