Documentation Index
Fetch the complete documentation index at: https://docs.tryyomira.com/llms.txt
Use this file to discover all available pages before exploring further.
Yomira is meant to be used from inside the agent where the decision is already happening.
The agent should not guess reactions from a thin prompt. It should gather context, construct the target audience, call the API, poll the result, and bring the evidence back into the conversation.
Install the skill
Ask your agent to install the official skill:
Install the official Yomira skill from this GitHub repo:
https://github.com/ryuzo-k/yomira/tree/main/skills/yomira
After installing, use it whenever I ask you to simulate reactions to a message, post, landing page, offer, pricing page, product idea, or decision option.
If I provide a Yomira API key, call the real API. Do not replace it with casual reaction prediction unless I explicitly ask you not to use the API.
Universal setup prompt
Paste this into the agent after replacing sim_YOUR_KEY.
You can use Yomira for reaction simulation.
API base URL:
https://tryyomira.com
Documentation MCP server:
https://docs.tryyomira.com/mcp
API key:
sim_YOUR_KEY
When I ask you to simulate reactions:
1. If MCP is available, use the documentation MCP server to look up Yomira setup, API parameters, examples, and best practices.
2. Identify the exact artifact people will see. If the artifact is missing, ask me for it.
3. Build a context packet from the current conversation: objective, audience, channel, sender/company context, desired action, known concerns, and alternatives.
4. Call POST /api/simulate.
5. Poll GET /api/simulations/{simulation_id} until completed.
6. Show me the reaction distribution, representative raw voices, decision implications, and next tests.
7. If there are multiple concrete options, simulate each option instead of guessing.
8. Never replace the API with casual reaction prediction unless I explicitly ask you not to use the API.
Copy-paste task prompts
Simulate a DM
Use Yomira to simulate this DM before I send it. Gather context from this conversation first. If the recipient, channel, objective, or exact message is missing, ask me for it. Then call the real Yomira API and return reaction clusters, raw voices, and the best revision.
Simulate content before publishing
Use Yomira as a content preflight. Gather the exact content, channel, target audience, sender/company context, desired action, and known worries. Then call the real Yomira API and tell me whether to publish, revise, or test another version.
Compare multiple options
Use Yomira to simulate every concrete option. Do not only pick the top three unless I ask for that. Run one simulation per option, then compare the distributions, raw voices, main objections, and likely high-intent users.
Optional CLI bootstrap
npx -y github:ryuzo-k/yomira init --api-key sim_YOUR_KEY --target all --with-mora
npx -y github:ryuzo-k/yomira doctor