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docs(packages): make cli and mcp-server READMEs framework-agnostic
Remove 4D-specific framing from both package READMEs so they reflect
that Fluently supports any registered collaboration framework, with the
AI Fluency 4D Framework as the bundled default. Adds a Frameworks section
to the CLI README explaining how to register additional frameworks.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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# fluently-cli
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**CLI for the [Fluently 4D Framework](https://fluently-org.github.io/fluently/) — score, compare, and contribute human-AI collaboration cycles from your terminal.**
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**Terminal CLI for [Fluently](https://fluently-org.github.io/fluently/) — score, compare, and contribute human-AI collaboration cycles across any registered framework.**
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Works with any AI agent: Claude, GPT-4o, Gemini, Mistral, GitHub Copilot, and more.
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Framework-agnostic. Bundles the AI Fluency 4D Framework as the default. Works with any AI agent: Claude, GPT-4o, Gemini, Mistral, GitHub Copilot, and more.
The interactive wizard walks through each of the 4 dimensions, validates the result against the Zod schema, and writes a `.yaml` file ready to commit and PR to the community repo.
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The interactive wizard walks through each dimension of the chosen framework, validates the result against the Zod schema, and writes a `.yaml` file ready to commit and PR to the community repo.
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### Sync — stay up to date
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---
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## The 4D Framework
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## Frameworks
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Every Fluently cycle covers four dimensions of human-AI collaboration:
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Fluently is framework-agnostic. Any collaboration framework with named dimensions can be registered. Each cycle carries a `framework_id` that determines which dimension fields it uses.
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The **AI Fluency 4D Framework** is bundled as the default:
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| Dimension | Question |
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|-----------|----------|
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| 👁️ **Discernment**| How do you evaluate and trust the AI output? |
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| ✅ **Diligence**| What accountability steps follow AI involvement? |
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Additional frameworks can be added by contributing a YAML definition to `/frameworks/`. Cycles for that framework will be validated and scored against its own dimension schema automatically.
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Browse the full community knowledge base at **[fluently-org.github.io/fluently/knowledge.html](https://fluently-org.github.io/fluently/knowledge.html)**.
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# fluently-mcp-server
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**MCP server for the [Fluently 4D Framework](https://fluently-org.github.io/fluently/).** Exposes knowledge retrieval and contribution tools so any AI agent can find, reason over, and extend Fluently 4D cycles — without hardcoded scores.
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**MCP server for [Fluently](https://fluently-org.github.io/fluently/) — exposes knowledge retrieval and contribution tools so any AI agent can find, reason over, and extend collaboration cycles across any registered framework, without hardcoded scores.**
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Framework-agnostic. Bundles the AI Fluency 4D Framework as the default. Any framework with named dimensions can be registered.
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Works with Claude, GPT-4o, Gemini, Mistral, Llama, GitHub Copilot, Cursor, Cline, and any other MCP-compatible agent.
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|------|---------|
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|`list_domains`| List available knowledge domains and cycle counts |
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|`find_relevant_cycles`| Retrieve ranked candidate cycles for a task — agent reasons, no false-precision scores |
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|`get_cycle_detail`| Full 4D cycle by ID (delegation · description · discernment · diligence)|
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|`get_cycle_detail`| Full cycle by ID — all dimension fields for its registered framework|
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|`get_dimension_guidance`| Antipatterns + examples for one dimension across all cycles |
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|`refresh_knowledge`| Re-fetch from the connector without restarting the server |
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|`contribute_cycle`| Validate a new cycle and submit it to the knowledge source |
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