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Marketplace
Agents, skills, personas, prompts, templates and tools you can inspect, install and route through the same policy as a model: what publishers list here directly, next to an index of the open ecosystems - MCP servers, agent skills, prompt libraries - so one search covers both. Free listings publish straight away and paid ones are reviewed first. Rate what you use so the best rises to the top.
A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
Decide which third-party marketplaces to list on, how much to invest in each, what ROI to expect, and when to delist - marketplace prioritization for partner teams.
Measure and review the performance of individual partners in a B2B partner program - the per-partner scorecard (dimensions, weights, targets, red-flag thresholds, data sources), the review cadence…
Design or redesign the tier structure inside an existing B2B partner program - qualification criteria, benefit bundles, tier count, promotion and demotion rules, review cadence for…
Plans a partnerships career from the candidate side across the field's four sub-disciplines - channel/alliance, affiliate, influencer/creator, referral.
Employer-side partnerships hiring across the field's four sub-disciplines - channel/alliance, affiliate, influencer/creator, referral.
Before starting any partnerships work - and before routing to any other skill in the mbfinotti/partnerships-skills collection - run this router first.
Define the operational guardrails that stop end customers from gaming a refer-a-friend program - reward caps, velocity limits and cooldowns, reward-hold windows tied to the refund window, eligibility…
Design the reward structure of a customer refer-a-friend program - who gets rewarded (referrer, friend, or both), reward type (cash, account credit, discount, product value, status), how much to pay…
HeroUI v2 to v3 migration guide for agents. Use when migrating HeroUI v2 apps to v3, upgrading components, or accessing migration documentation.
HeroUI Native component library for React Native (Tailwind v4 via Uniwind). Use when building mobile UIs with HeroUI Native — creating Buttons, Cards, TextFields, Dialogs; installing heroui-native…
HeroUI v3 React component library (Tailwind CSS v4 + React Aria). Use when building UIs with HeroUI — creating Buttons, Modals, Forms, Cards; installing @heroui/react; configuring dark/light themes…
Prepare and execute a Plannotator release — draft release notes with full contributor credit, bump versions across all package files, build in dependency order, and kick off the tag-driven release…
Review Renovate bot PRs that update GitHub Actions dependencies. Verifies supply chain integrity by checking pinned commit SHAs against upstream tagged releases, reviews changelogs for breaking…
Audit and update npm/Bun dependencies with supply chain integrity checks — verifies maintainers, publish age, tarball diffs, and provenance before bumping.
Open Plannotator's annotation UI for a file, folder, or URL, then address the returned annotations.
Open Plannotator's browser-based code review UI and address the returned feedback.
Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue.
Reference for using Plannotator (its plannotator tool when you have one, otherwise the CLI): plan review, code review, annotating files, URLs, folders, and running local apps, annotating the last…
Analyze a user's Plannotator plan archive to extract denial patterns, feedback taxonomy, evolution over time, and actionable prompt improvements — then produce a polished HTML dashboard report.
Turn an idea or objective into a goal package for /goal. Interviews the user, builds a reviewed fact sheet via Plannotator, then explores the codebase to produce an execution plan.
Generate self-contained HTML visualizations with Plannotator theming. Use for implementation plans, PR explainers, architecture diagrams, data tables, slide decks, and any visual explanation of…
End-to-end AI video generation from storyboard concept to final output. Supports both MCP and standalone Python script modes; automatically detects availability and switches gracefully if MCP is…
Investigate reported or suspected bugs in this daisyUI monorepo, including proactive bug searches in packages/daisyui and packages/docs.
Review one or all open pull requests in saadeghi/daisyui with read-only GitHub data and isolated base-versus-PR checks.
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.
Prefer the terminal? osr stack apply registry://starter installs the starter template.
Photo: RDNE Stock project
