diff --git a/README.en.md b/README.en.md index 73140d50..1a3eba37 100644 --- a/README.en.md +++ b/README.en.md @@ -17,8 +17,6 @@ Python License ClickHouse - Rules - Benchmark MCP Local First

@@ -43,7 +41,6 @@ source of production recommendations. - [Data Science and ML](#data-science-and-ml) - [Evaluation](#evaluation) - [Security](#security) -- [Project criteria](#project-criteria) - [Documentation](#documentation) ## Capabilities @@ -390,17 +387,6 @@ What it does not do by default: More details: [docs/security-local-first.md](docs/security-local-first.md). -## Project criteria - -| Criterion | How ClickAdvisor addresses it | -|---|---| -| Development | Poetry, Docker, GitHub Actions, typed core, linting, tests, validators, ClickHouse integration | -| Data Science | EDA, feature extraction, group split, CV/holdout, baseline ladder, error analysis | -| AI usage | MCP tools, local and remote-compatible agent workflow, DS/research automation narrative | -| Product thinking | target users, pain, competitors/SOTA framing, MVP surfaces, impact path through workload analysis | - -Detailed self-assessment: [docs/project-readiness.en.md](docs/project-readiness.en.md). - ## Documentation - [Architecture](docs/ARCHITECTURE.md) diff --git a/README.md b/README.md index 8f09bd38..6a05b6db 100644 --- a/README.md +++ b/README.md @@ -17,8 +17,6 @@ Python License ClickHouse - Rules - Benchmark MCP Local First

@@ -43,7 +41,6 @@ confidence, объяснение и rewrite-пример там, где rewrite - [Data Science и ML](#data-science-и-ml) - [Evaluation](#evaluation) - [Security](#security) -- [Критерии проекта](#критерии-проекта) - [Документация](#документация) ## Что умеет @@ -388,17 +385,6 @@ ClickAdvisor можно запускать внутри компании, CI/CD Подробнее: [docs/security-local-first.md](docs/security-local-first.md). -## Критерии проекта - -| Критерий | Как закрыт | -|---|---| -| Development | Poetry, Docker, GitHub Actions, типизированное ядро, linting, tests, validators, ClickHouse integration | -| Data Science | EDA, feature extraction, group split, CV/holdout, baseline ladder, error analysis | -| AI usage | MCP tools, локальный и remote-compatible agent workflow, DS/research automation narrative | -| Product thinking | целевые пользователи, боль, competitors/SOTA framing, MVP surfaces, impact path через workload analysis | - -Подробная самооценка: [docs/project-readiness.md](docs/project-readiness.md). - ## Документация - [Architecture](docs/ARCHITECTURE.md)