Marketplace
Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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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.
supabase-known-pitfalls
Use when reviewing Supabase code, onboarding developers, auditing an existing project, or debugging unexpected behavior — catches the twelve most common Supabase mistakes: exposing the service_role ke
github-pr-workflow
Prepare a GitHub pull request from a feature branch — branch hygiene, commit shape, title/body, verification notes, screenshots for UI work, and replies to review comments.
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
fusion-code-conventions
Applies and explains code conventions across TypeScript, React, C#, and Markdown. Enforces naming rules, file naming patterns, TSDoc and XML doc standards, inline comment intent (the *why*, not the *w
code-review-quality
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
code-standards
Code quality standards and style guide for reviewing pull requests
performance-review
Performance-focused code review for identifying bottlenecks and optimization opportunities
security-review
Security-focused code review checklist for identifying vulnerabilities
codex-review-workflow
Automated code review workflow using OpenAI Codex CLI. Implements iterative fix-and-review cycles until code passes validation or reaches iteration limit. Use when building features requiring automate
code-review
Correctness, security, and spec-fidelity gate for incoming pull requests. Auto-invoked when reviewing a diff, evaluating a PR, running /code-review at any effort level, or asked "is this safe to merge
full-code-review
Fan-out PR review across three parallel dimension agents (structural, security, devex/flag-hygiene), adversarially verify every finding, and synthesize a single prioritized verdict via a strongest-tie
grok-review
Independent second-opinion code review through the Grok CLI. Builds a self-contained review prompt from the exact diff, runs one headless Grok invocation on the CLI's own default model and effort, the
pr-comments
Reads a pull request's review threads and returns a digest — grouped by thread, severity-tagged, priority-ordered, with the open questions called out. Strictly read-only: no code edits, no replies, no
qa-reviewer
Runs a structured multi-phase verification pass on completed AI agent work — catching bugs, missed requirements, and incorrect assumptions before changes are committed. Triggers on: "check your work",
receiving-code-review
Evaluate incoming code-review feedback with technical rigor before implementing any change. Verify each point against the codebase, push back with reasoning when the reviewer is wrong, and never perfo
review-dispatch
Single front door for code review. Resolves a target — working-tree changes, one PR, all open PRs, the last N commits, a time window, or a retrospective over merged history — into the right workflow,
pr-triage
PR triage: audit open PRs, deep review selected ones, draft and post review comments. Args: "all" to review all, PR numbers to focus (e.g. "42 57"), "en"/"fr" for language, no arg = audit only in Fren
finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
brutal-honesty-review
Unvarnished technical criticism combining Linus Torvalds' precision, Gordon Ramsay's standards, and James Bach's BS-detection. Use when code/tests need harsh reality checks, certification schemes smel
code-review-quality
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
sherlock-review
Evidence-based investigative code review using deductive reasoning to determine what actually happened versus what was claimed. Use when verifying implementation claims, investigating bugs, validating
qe-brutal-honesty-review
Unvarnished technical criticism combining Linus Torvalds' precision, Gordon Ramsay's standards, and James Bach's BS-detection. Use when code/tests need harsh reality checks, certification schemes smel
qe-code-review-quality
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
qe-github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
Find
Search or browse by kind. Every card shows who made it, how many people installed it and what they think.
Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
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.