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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.
pr-to-spec
Analyze code changes and detect intent drift using the pr-to-spec CLI — converts a branch, staged edits, or recent commits into a structured, agent-consumable spec. Use when declaring intent before a
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
prd-dispatch
Single front door for product specs, PRDs, and feature planning. Parses a subcommand — new, spec, gate, write, intake, or interview — and routes to the right planning engine: prd-task-creator (GitHub
prd-quality-gate
PRD completeness validation. Use to check that a PRD (or issue body that serves as one) contains the required sections before it is handed to a planning/execution agent, so the plan is built from a co
prd-writer
Authors the PRD document itself — problem, scope boundaries, EARS acceptance criteria, and verification plan — as one self-contained contract a planning agent consumes without re-elicitation. Ends at
doc-coauthoring
Collaborative document creation via a structured three-stage workflow. Use for writing specs, PRDs, design docs, proposals, RFCs, and any long-form document where quality and clarity matter. Brainstor
spec-critique
Self-critique specification documents using extended thinking — surfaces hidden assumptions, contradictions, missing edge cases, and scope creep before implementation
spec-driven-dev
Write specifications before code — the agent creates detailed technical specs, validates them, then implements. Use when someone asks to "write a spec first", "plan before coding", "create a technical
plan
Research codebase and create spec + phased implementation plan with file-level tasks
spec
Spec-driven development — write design specs, acceptance criteria, validate and implement. Structured workflow for multi-session features (also load: git, review, plan_template)
schematic
Reverse engineer a detailed product and technical specification document from a git branch's implementation. Use when: (1) a branch has shipped or is in-progress and needs documentation, (2) you need
auto-embedded
全平台嵌入式 AI 开发框架（对标 Trellis）：把 RIPER-5 五阶段协议 + 四文件记忆 + 分层架构门禁 + Scout/Builder/Verifier 多 Agent + 24 个工具调用技能（build/flash/debug/serial/can/modbus/visa/static/memory/rtos/scons），做成『装进工程、项目级 hook 必然运行、按角色自动
bmad
Use this skill to run BMad (Breakthrough Method of Agile AI-Driven Development) as a harness-agnostic control-plane protocol that turns human intent into bounded, inspectable, resumable agent work. Co
moai-core-spec-authoring
Complete SPEC document authoring guide with YAML metadata structure (7 required + 9 optional fields), EARS requirement syntax (5 patterns including Unwanted Behaviors), version lifecycle management, T
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Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.