feat: Add llms.txt for LLM discoverability#10
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- LLM-friendly documentation - Links to Ambient Access Layer and MCP servers Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Code Review
This pull request introduces a new llms.txt file to provide a high-level overview of the Genesis Conductor project, its features, and related resources for LLM discovery. A review comment suggests formatting the README reference as a markdown link to improve machine readability and facilitate automated ingestion by LLM-based tools.
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Code Review
This pull request introduces llms.txt, a high-level project overview for the Genesis Conductor AI scaffolding engine. Feedback suggests clarifying that several listed features are currently part of a roadmap to ensure accuracy, and recommends using markdown links for the README and creator information to improve documentation navigability and consistency.
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Pull request overview
Adds an llms.txt file to provide an LLM-friendly, high-level description of the Genesis Conductor project, with key links and attribution to improve discoverability.
Changes:
- Introduces
llms.txtwith a short project summary and feature list - Adds related links (Ambient Access Layer, MCP servers, extensions) and creator attribution
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| - Multi-agent coordination via A2A v0.3 protocol | ||
| - Thermodynamic verification (S-ToT protocol) | ||
| - Cloudflare Workers edge deployment | ||
| - MCP server integration |
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The features list claims "MCP server integration", but the repo doesn’t appear to include MCP server/client code or integration points (only external links/references). Consider clarifying what is integrated today vs. planned, or linking to the integration implementation.
| - MCP server integration | |
| - MCP server ecosystem references and planned integration |
| - Multi-agent coordination via A2A v0.3 protocol | ||
| - Thermodynamic verification (S-ToT protocol) |
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"A2A v0.3" and "S-ToT" are mentioned as protocols but aren’t defined or linked elsewhere in this repo. For LLM discoverability, consider adding a brief expansion (what the acronyms mean) and/or links to their specs or the relevant docs.
| - Multi-agent coordination via A2A v0.3 protocol | |
| - Thermodynamic verification (S-ToT protocol) | |
| - Multi-agent coordination via A2A v0.3 (Agent-to-Agent) protocol | |
| - Thermodynamic verification (S-ToT, Seismic Tree-of-Thoughts, protocol) |
| @@ -0,0 +1,27 @@ | |||
| # Genesis Conductor — AI Scaffolding Engine | |||
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| > The official "Master Control Program" for transforming business ideas into | |||
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Line 3 ends with trailing whitespace after "into". Please remove trailing spaces to avoid noisy diffs and formatting issues in downstream tooling.
| > The official "Master Control Program" for transforming business ideas into | |
| > The official "Master Control Program" for transforming business ideas into |
| - MCP server integration | ||
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| ## Getting Started | ||
| See the repository README for installation and usage instructions. |
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The "Getting Started" section points readers to the repository README for installation/usage, but README.md currently has only a short description and no setup instructions. Either expand README.md accordingly or update this line to point at the correct docs.
| See the repository README for installation and usage instructions. | |
| Installation and usage instructions are not currently documented in the repository README. |
| - Topological reasoning for complex problem decomposition | ||
| - Multi-agent coordination via A2A v0.3 protocol | ||
| - Thermodynamic verification (S-ToT protocol) | ||
| - Cloudflare Workers edge deployment |
There was a problem hiding this comment.
The features list includes "Cloudflare Workers edge deployment", but there’s no Worker source/config in the repo (e.g., wrangler config or a workers entrypoint). Consider removing/qualifying this claim or adding a link to where this deployment is implemented.
| - Cloudflare Workers edge deployment | |
| - Deployment-ready scaffolding architecture |
| @@ -0,0 +1,27 @@ | |||
| # Genesis Conductor — AI Scaffolding Engine | |||
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| > The official "Master Control Program" for transforming business ideas into | |||
Adds llms.txt for LLM-friendly documentation of the project.
Co-authored-by: Copilot 223556219+Copilot@users.noreply.github.com