Install
openclaw skills install meritloop-architectUse this skill when the user wants to design, scope, or refine a Buddhist, spiritual, or cyber-chanting AI product. It is especially useful for local-first ritual companions, merit-point systems, daily practice robots, dedication assistants, scripture libraries, and future online Buddhist communities. Turn rough ideas into a concrete product concept with users, scenarios, features, local-vs-online scope, safety boundaries, and monetization.
openclaw skills install meritloop-architect
This skill turns vague "AI + Buddhism" ideas into product-ready concepts. It is especially useful for cyber-chanting agents, Buddhist ritual companions, scripture-based assistants, merit-point systems, local shrine robots, digital temple services, and hybrid hardware + agent experiences.
Default to product-manager thinking rather than theology-first exposition. The goal is to help the user define a believable product that respects religious context, has repeated usage loops, starts locally without server complexity, and can later scale into online community features without making reckless spiritual claims.
Unless the user asks for something narrower, produce a compact concept pack with:
Map the idea into one or more of these archetypes:
If the user's idea is broad, choose one primary archetype and at most two secondary ones.
Do not position the agent as a real enlightened authority, ordained monk, or infallible guru. A safer and stronger framing is:
If the user explicitly wants "AI master", preserve the ambition but translate it into product language such as "a master-like daily companion with humility, citations, and clear authority limits."
Favor behaviors that can recur daily or weekly. Strong loops include:
The product should not only answer questions. It should help users complete a devotional or discipline loop.
Choose the smallest set that makes the concept feel alive:
If the user mentions that servers or online infrastructure are too heavy for v1, explicitly split the concept into:
Local-first concepts are often stronger for privacy, simplicity, and faster prototyping. Treat online community as a roadmap item unless the user explicitly wants network features now.
When the user wants "功德值", "merit points", or a score that the robot accumulates on the owner's behalf, design it as a reflective product mechanic, not an objective spiritual measurement.
Recommended framing:
Recommended local-first algorithm shape:
Useful outputs:
Be clear that the score is an internal practice index. Do not state or imply that it proves karmic merit in a literal religious sense.
When the user asks how many books or sutras to include, do not answer with a random large number. Propose a layered rollout:
Recommend organizing the library by:
If needed, read references/use-cases.md for a scenario bank and content strategy patterns.
Every concept should explicitly state what the agent will not do:
If the user wants brainstorming, lead with bold scenario ideas.
If the user wants a startup concept, include wedge, moat, pricing, and GTM.
If the user wants a skill or system prompt, turn the concept into operating instructions, boundaries, and output formats.
If the user wants hardware, emphasize routines, sensors, ambient interaction, and the emotional role of the device in the home shrine.
If the user wants naming, propose both Chinese and English options, explain the tone of each, and recommend one safe default plus one bolder brand direction.
If the user wants a gap review, identify what is still missing across hardware, content, UX, operations, trust, and monetization.
Use this default structure unless the user asks for another format:
One paragraph describing the product in plain language.
State what works fully offline or locally in v1, and what online/community features are future roadmap.
2-4 user segments with the highest motivation.
List the strongest repeated-use scenarios first.
5-7 features that prove the concept.
Explain how功德值 or the equivalent score is calculated and how it is presented to the user.
State the habit loop, emotional loop, and practical loop.
State the role and non-role of the AI clearly.
Include one or more of: commerce, temple partnerships, hardware, premium library, group practice, enterprise-for-temples.
List the major unanswered questions, implementation gaps, or launch risks.
Read references/use-cases.md when the user wants deeper scenario ideation, business models, service menus, scripture rollout strategy, or temple partnership concepts.
Read references/naming-and-gaps.md when the user wants brand names, English naming, or a product-manager gap review.