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.
validate-skills
Validates skills in this repo against agentskills.io spec and Claude Code best practices. Use via /validate-skills command.
cron-doctor
Diagnose and validate cron expressions before they ship. Catches the five silent death-traps: impossible dates that never fire, OR-semantics that fire too often, midnight spikes, uneven step drift, an
fp-either-ref
Quick reference for Either type. Use when user needs error handling, validation, or operations that can fail with typed errors.
fp-errors
Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code
monte-carlo-validation-notebook
Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.
skill-check
Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.
skill-installer
Instala, valida, registra e verifica novas skills no ecossistema. 10 checks de seguranca, copia, registro no orchestrator e verificacao pos-instalacao.
zod
TypeScript-first schema validation and type inference. Use for validating API requests/responses, form data, env vars, configs, defining type-safe schemas with runtime validation, transforming data, g
convex-schema-validator
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes
hono-validation
Hono request validation with Zod, TypeBox, Valibot - type-safe input validation for JSON, forms, query params, and headers
fastify
Production Fastify (TypeScript) patterns: schema validation, plugins, typed routes, error handling, security hardening, logging, testing with inject, and graceful shutdown
portaljs-check-data-quality
Audit a local or remote tabular file (CSV/TSV) for common data quality issues — schema, nulls, types, duplicates. Read-only. Use when a dataset needs a quality check before publishing, or a showcase r
agent-creator
Create production-grade agent .md files aligned with the Anthropic 2026 spec (16-field schema). Also validates existing agents against the marketplace compliance rules. Use when building custom subage
artifact-validator
Discover and validate Agent Skills, host plugins and subagents, MCP servers and configurations, hooks, and marketplace catalogs against the correct authority. Use when performing pre-merge review, ext
production-upgrade
Upgrade an existing skill, plugin, agent, MCP integration, or agent-system package to a security-first production standard using pain research, architecture decisions, migration planning, deterministi
skill-creator
Create production-grade agent skills aligned with the 2026 AgentSkills.io spec and Anthropic best practices (2026). Also validates existing skills against the Intent Solutions 100-point rubric. Use wh
validate-skillmd
Validate a SKILL.md file against the four-tier validation system: Tier 0 (locate), Tier 1 (standard or marketplace grading per the IS 100-point rubric), Tier 2 (static production gate — allowed-tools
validator-expert
Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices. Generates weighted scores (0-100%) with actionable remedia
qa-acceptance
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-te
amc-run-sample-calibration
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'veri
dynamo-interconnect-check
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to con
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
tao-validate-dataset-format
Run `tao-daft validate` to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. Do not use for non-DAFT formats. Use when the user asks to validate a DAFT dataset, check D
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.