Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Productivity
Pre-call brief for an upcoming meeting - attendees, account history, prior call context from transcripts, open opportunity status, and suggested discovery questions. Use when the user asks "prep me for [meeting/company]", "call prep [company]", "I'm meeting with [company], prep me", "get me ready for [meeting]", or "what do I need to know before my [time] call"
Look up Y Combinator companies and batches using the public yc-oss API, a static JSON dataset refreshed daily. Includes company profiles, batch rosters (e.g. W25, S24), companies by industry or tag, top companies, who is hiring, founder-diversity lists, and overall YC stats. Use whenever the user asks about YC-backed startups, a YC batch, YC companies in a sector or tag or that are hiring, the Y Combinator portfolio, or startup and venture research based on YC data. Read-only.
Use when looking up journal or magazine name abbreviations, converting between full names and ISO 4/MEDLINE abbreviations, processing BibTeX files for journal name standardization, or answering questions about journal or magazine abbreviations. Triggers on "journal abbreviation", "abbreviate journal", "journal name", "期刊缩写", "杂志缩写", "ISO 4", "LTWA", "BibTeX journal". PROACTIVELY USE when user mentions citation formatting, reference list preparation, or manuscript submission to specific journals.
Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when structuring discovery work, mapping opportunities to solutions, or deciding what to build next
Use when locating messages, files, channels, or people across Slack, or gathering context before answering, with the search MCP tools (slack_search_public, slack_search_public_and_private, slack_search_channels, slack_search_users). Covers search modifiers (in:, from:, before:), file-type filters, natural-language vs. keyword search, and reading results in context.
Official Salesforce documentation retrieval skill. Use when you need authoritative Salesforce docs from developer.salesforce.com, help.salesforce.com, architect.salesforce.com, admin.salesforce.com, or lightningdesignsystem.com, especially when pages are JS-heavy, shell-rendered, or hard to extract with naive fetching. Use to ground answers in official Salesforce sources instead of third-party blogs or summaries. TRIGGER when: user asks for official Salesforce documentation, Apex or API reference, LWC docs, Agentforce docs, setup or help articles, or any doc from a Salesforce-owned domain. DO NOT TRIGGER when: user is asking for a code change, deployment task, or anything not requiring documentation retrieval — use the appropriate sf-* skill instead.
Prepare structured briefings for meetings with legal relevance and track resulting action items. Use when preparing for contract negotiations, board meetings, compliance reviews, or any meeting where legal context, background research, or action tracking is needed.
Search Google Flights for flight prices and schedules using browser automation. Use when the user asks to search flights, find airfare, compare prices, check flight availability, or look up routes. Triggers include "search flights", "find flights", "how much is a flight", "flights from X to Y", "cheapest flight", "flight prices", "airfare", "flight schedule", "nonstop flights", "when should I fly".
Document a business process — flowcharts, RACI, and SOPs. Use when formalizing a process that lives in someone's head, building a RACI to clarify who owns what, writing an SOP for a handoff or audit, or capturing the exceptions and edge cases of how work actually gets done.
Build with the AgentMail TypeScript or Python SDK for inbox, message, thread, draft, attachment, domain, allow/block list, pod, webhook, and WebSocket workflows, including programmatic agent sign-up, domain/DNS administration, and deliverability triage (bounces, spam, blocked mail). Use when implementing or reviewing AgentMail API code; do not use for direct mailbox operations, CLI usage, MCP setup, or framework-toolkit integration.
Generate a stakeholder update tailored to audience and cadence. Use when writing a weekly or monthly status for leadership, announcing a launch, escalating a risk or blocker, or translating the same progress into exec-brief, engineering-detail, or customer-facing versions.
Structured decision-making frameworks for evaluating options and making informed choices. Use when making decisions, evaluating options, weighing trade-offs, or when the user needs help choosing between alternatives, analyzing pros and cons, or making structured decisions.
Create a structured customer interview script with JTBD probing questions, warm-up, core exploration, and wrap-up sections. Follows The Mom Test principles — no leading questions, no pitching, focus on past behavior. Use when preparing for user interviews, creating interview guides, or planning discovery research.
Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a basket against notes or a thesis, research prediction-market events/venues/liquidity, or plan a basket or market idea without trading. Never advises, orders, trades, reserves, or executes.
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs.
The Horizontal-Vertical Analysis (HVA) deep-research skill. Proposed by Digital Life Kazik, it combines Saussure’s diachronic-synchronic analysis, longitudinal and cross-sectional research designs in social science, business-school case studies, and core ideas from competitive strategy. Use when users want to systematically research a product, company, concept, technology, or person. Its core is a two-axis analysis: the vertical axis traces the full life cycle from origin to the present as a narrative; the horizontal axis systematically compares competitors and peers at the current time. It then crosses the two axes to produce original insights. The final deliverable is a professionally typeset PDF research report. Triggers include, but are not limited to: horizontal-vertical analysis, research this, analyze this for me, deep research, do a study, investigate this, competitor analysis, tell me what this thing is like, what is this product/company/concept about, help me get to grips with this, help me understand this, help me do deep research. Even if the user only says “help me learn about XX” or “what’s the story behind XX,” use it when context suggests systematic in-depth research rather than a simple definition. Also applies when the user provides only a product, company, or technology name and says “research this for me.” Do not use for simple definitions (the user only asks “what is XX?”), public-account writing (use khazix-writer), or generating only title summaries (use wechat-title)
Conduct multi-round deep research on any GitHub repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured Markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on GitHub repository URLs or open-source projects.
Research prediction-market events, venues, underliers, liquidity, and news context for Itô basket workflows. Use for read-only market intelligence, API-gated Itô exploration, and source-grounded prediction-market briefings without investment advice or live trading.
Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.
Browser automation control. Use this skill first instead of the built-in browser tool when the user says “open a webpage,” “click,” “fill out a form,” “take a screenshot,” “webpage operation,” “automatically fill out a form,” or “browser.” Based on Playwright, it supports connecting to an existing Chrome (CDP mode) or launching a new Chromium.
Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing a North Star Metric, setting up a metrics framework, learning about the North Star Framework, or deciding what to measure.
Turn a call transcript or call notes into a customer follow-up email draft, an internal chat summary, and proposed CRM updates. Use when the user says "call summary", "follow up on my [company] call", "summarize my call with [account]", "write the recap", "process this transcript", "process my call notes", "capture the objections and next steps", or pastes rough notes or a transcript after a discovery, demo, or negotiation call.
Prioritize drug targets from a ranked gene list (e.g., scRNA-seq DE output) by orchestrating parallel API queries against UniProt, OpenTargets (with integrated DepMap CRISPR essentiality + gnomAD constraint), PubMed, the Human Protein Atlas (HPA), and ChEMBL tool compounds, then re-ranking by a composite score combining protein localization, druggability, disease genetics, tissue specificity (safety), focus-cell-type expression, CRISPR essentiality, LoF safety constraint, and research maturity. Use whenever the user wants to filter, triage, prioritize, or "do due diligence" on a list of candidate genes for drug discovery, especially after a DE / DEG analysis when they say things like "which of these should I follow up on", "filter for druggable targets", "make a target dossier", "rank these for tractability", "annotate these genes for druggability", or "build a target report". Trigger even when the user says just "filter these candidate genes" or hands over a CSV from a DE pipeline.
Create a change management request with impact analysis and rollback plan. Use when proposing a system or process change that needs approval, preparing a change record for CAB review, documenting risk and rollback steps before a deployment, or planning stakeholder communications for a rollout.
Turn the current conversation or finding into a structured permanent wiki note. Use for save/capture/preserve requests; QUICK MODE writes a fast _raw/ note. Supports named-vault routing such as @research save this. This captures current discussion, not external source ingestion.
Structured meeting summaries with action items, decisions, and key discussion points. Use when taking meeting notes, summarizing discussions, tracking action items, or when the user mentions meeting notes, minutes, action items, or needs structured meeting documentation.
Market news briefings with AI summaries. Use when asked about stock news, market updates, portfolio performance, morning/evening briefings, financial headlines, or price alerts. Supports US/Europe/Japan markets, WhatsApp delivery, and English/German output.
Identify risky assumptions for a feature idea in an existing product across Value, Usability, Viability, and Feasibility. Uses multi-perspective devil's advocate thinking. Use when stress-testing a feature idea, doing risk assessment, or preparing for assumption mapping.
Plan resource capacity — workload analysis and utilization forecasting. Use when heading into quarterly planning, the team feels overallocated and you need the numbers, deciding whether to hire or deprioritize, or stress-testing whether upcoming projects fit the people you have.
Generate contextual briefings for legal work — daily summary, topic research, or incident response. Use when starting your day and need a scan of legal-relevant items across email, calendar, and contracts, when researching a specific legal question across internal sources, or when a developing situation (data breach, litigation threat, regulatory inquiry) needs rapid context.
Build a stakeholder map using a power/interest grid, identify communication strategies per quadrant, and generate a communication plan. Use when managing stakeholders, preparing for a launch, aligning cross-functional teams, or planning stakeholder engagement.
Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.
Use this skill when the user wants to search the web without a full browser session: find URLs, titles, and metadata for a query. Prefer it over a browser when you just need search results, not page content. Returns structured results with titles, URLs, authors, and dates.
Find and explain company policies in plain language. Trigger with "what's our PTO policy", "can I work remotely from another country", "how do expenses work", or any plain-language question about benefits, travel, leave, or handbook rules.
Check the status of existing agreements with a vendor across all connected systems — CLM, CRM, email, and document storage — with gap analysis and upcoming deadlines. Use when onboarding or renewing a vendor, when you need a consolidated view of what's signed and what's missing (MSA, DPA, SOW), or when checking for approaching expirations and surviving obligations.
Set up a new Obsidian knowledge base with the LLM Wiki pattern. Use when the user wants to create a second brain, initialize a vault, set up a personal knowledge base, or says "onboard". Guides through an interactive wizard to configure vault name, location, domain, agent support, and tooling.
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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.