Skills
98,873 packaged capabilities and playbooks for agents. Install any of them with one command.
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How the reference commerce agents of either role are structured, covering the loop, where each rule lives, skills, the backend interface, delegates, and model fields. Load when designing or reviewing the structure of a shopping or merchant agent.
Authoring and running behavioral evals for a shopping or merchant agent, covering the case shape, authoring rules, code graders and judges, the run pattern, and poisoned fixtures. Load when writing eval cases or rubrics or deciding how a suite runs.
The reference agents' cache-stable request assembly, covering the static system and per-request context split, the fixed tool list, the rolling conversation breakpoint, which config fields are prompt bytes, and verification. Load when writing or reviewing a commerce agent's prompt assembly, when cache reads are zero, or when a turn's latency or cost is the question.
The rules the reference agents enforce in code for third-party content, writes, grounding, identity, and memory, each with its module, plus two adversarial-eval rules. Load when handling untrusted tool results, guarding a write tool, or scoping what an agent remembers.
The reference presentation-tool contract, covering server-side enrichment, suggestion chips, the event stream, progressive rendering, both roles' built-in components, and adding a vertical component. Load when building or reviewing how a commerce agent's output reaches a frontend.
Comprehensive GTM analysis of any target company. Researches what a company is currently doing across all go-to-market dimensions — content/blog, founder LinkedIn activity, SEO/traffic, hiring signals, social/community presence, customer acquisition channels, podcast appearances, review sites, competitive positioning, and partnerships. Produces a structured report identifying what's working, what's missing, and where white space exists for new strategies. Use before designing GTM strategies for a client or prospect.
Guides the end-to-end GDPR Data Protection Impact Assessment process under Article 35, including mandatory trigger identification per Art. 35(3), DPIA content requirements per Art. 35(7), and EDPB WP248rev.01 methodology. Activate for systematic profiling, large-scale special category processing, or large-scale public monitoring. Keywords: DPIA, Article 35, impact assessment, WP248, data protection, risk assessment.
Read, search, and manage Confluence Cloud pages, spaces, blog posts, comments, attachments, and labels. Use this whenever the user wants to find a page, read a doc, search the wiki with CQL, create or update a page, add a comment, list pages in a space, pull an attachment, or ask "what does the wiki say about X" — even if they don't say "API". Also use it for any *.atlassian.net/wiki URL, or a CQL string when the context is wiki content rather than tickets. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
Enrich contacts with LinkedIn URLs, verified work/personal emails, and phone numbers through the ColdIQ marketplace, layering providers cheapest-first. Use when finding emails for a list, building an email waterfall, verifying deliverability, finding phone numbers, resolving company LinkedIn URLs from domains, or enriching contacts before a campaign. Triggers on "enrich contacts", "find emails", "email waterfall", "verify emails", "bounce check", "find phone numbers", "company LinkedIn URL", "enrich before campaign", "deliverability". Do NOT use for prospecting/search to BUILD a list (see coldiq-search-enrich / apollo-search) or list dedup (see list-dedup).
Content atomization — turn one piece of content into many formats. Covers blog-to-thread, blog-to-carousel, podcast-to-blog, video-to-quotes, and more. Use for: content marketing, social media, multi-platform distribution, content strategy. Triggers: content repurposing, repurpose content, content atomization, content recycling, one to many content, multi platform content, cross post, adapt content, reformat content, blog to thread, blog to video, podcast to blog, content multiplication
Orchestrator of the Content Engine flow. Routes to the right step — strategy, profile audit, research, weekly plan, production, creatives, tracking — keeps per-client state in Notion, and explains the flow. Use when the user says запусти content engine, контент движок, next content step, or asks what the content engine flow is.
Write git commit messages that follow the Conventional Commits v1.0.0 spec. Use this whenever you are about to author a commit on the user's behalf, prepare or run `git commit`, suggest or clean up a commit message, split a diff into commits, write a PR title/description that references commits, or generate a CHANGELOG from history — even when the user never says "conventional commits". If a commit message is being written in a git repo, this skill applies.
Guide for authoring Convex components - isolated, reusable backend modules with their own schema and functions. Use when building reusable libraries, packaging Convex functionality for NPM, creating isolated sub-systems, or integrating third-party components. Activates for component authoring, convex.config.ts setup, component testing, or NPM publishing tasks.
Provides comprehensive guidance for course design including curriculum development, learning objectives, and course structure. Use when the user asks about course design, needs to design courses, create learning objectives, or structure educational content.
Create or update a complete repository skill from a user's idea, including the workflow instructions, references, scripts or assets, agent metadata, skill-card artwork, cinematic banner artwork, README links, discovery metadata, and validation. Use when the user asks to create a new skill, add a skill to this collection, turn a workflow into a reusable skill, or make a skill's documentation and artwork consistent with the repository.
Design and audit creator, seller, developer, plugin author, marketplace contributor, community moderator, and content partner onboarding for marketplaces, app stores, skill repositories, template stores, game UGC, creator economies, affiliate programs, and developer ecosystems. Use when improving submission readiness, quality, trust, payout setup, review queues, publishing, analytics, support, and creator activation.
Credential spraying and reuse attacks. Use after usernames/passwords/hashes have been collected and the credentials need to be tested for validity on other services/hosts. Covers password spraying strategy (avoiding lockouts), credential reuse detection, and PTH/PTK attacks. Used to expand the scope of control
When the user wants to assess a borrower's creditworthiness, debt capacity, or covenant compliance. Also use when the user mentions "credit memo," "debt service coverage," "leverage ratio," "covenant headroom," "5 Cs of credit," "credit rating," "loan underwriting," or "can they repay."
When the user wants to implement cross-docking operations, optimize transshipment, or reduce warehouse storage. Also use when the user mentions "crossdock," "transshipment," "flow-through distribution," "dock-to-dock," "consolidation center," or "break-bulk operations." For general warehouse design, see warehouse-design. For dock scheduling, see dock-door-assignment.
When the user wants to optimize cruise ship supply chains, manage ship provisioning, or improve maritime operations. Also use when the user mentions "cruise logistics," "ship provisioning," "maritime supply chain," "port operations," "cruise inventory," "galley management," "ship chandling," or "cruise procurement." For hotel operations, see hotel-inventory-management. For hospitality procurement, see hospitality-procurement.
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
A flexible library for parallel computing in Python. It scales Python libraries like NumPy, pandas, and scikit-learn to multi-core systems or distributed clusters. Features lazy evaluation and task scheduling for data that exceeds RAM capacity. Use for out-of-core computing, parallel processing, distributed computing, large-scale data analysis, dask.array, dask.dataframe, dask.delayed, dask.bag, task scheduling, lazy evaluation, and scaling beyond memory limits.
Guide for making changes to the database schema, validation, types, and data access layer. Use when adding tables, columns, relations, or modifying the data model. Triggers on: add table, add column, modify schema, database change, data model, new entity, schema migration.
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and storytelling with data. Use for: charts, graphs, dashboards, reports, presentations, infographics, data stories. Triggers: data visualization, chart, graph, data chart, bar chart, line chart, scatter plot, data viz, visualization, dashboard chart, infographic data, data presentation, chart design, plot, heatmap, pie chart alternative
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.