一键导入
continuous-learning
Automatically extract reusable patterns from coding sessions and save them as learned skills for future use.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Automatically extract reusable patterns from coding sessions and save them as learned skills for future use.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Turn unstructured documents into validated, auditable structured data with clear schemas and edge-case handling
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
Software architecture specialist for system design, scalability, and technical decision-making. Use when planning new features, refactoring large systems, or making architectural decisions.
Build and compilation error resolution specialist. Fixes build/type errors with minimal diffs, no architectural changes. Use when build fails or type errors occur.
| name | continuous-learning |
| description | Automatically extract reusable patterns from coding sessions and save them as learned skills for future use. |
Evaluates coding sessions to extract reusable patterns that can be saved as learned skills.
Run /learn at the end of a session or after solving a non-trivial problem:
~/.codex/skills/learned/| Pattern | Description |
|---|---|
error_resolution | How specific errors were resolved |
user_corrections | Patterns from user corrections |
workarounds | Solutions to framework/library quirks |
debugging_techniques | Effective debugging approaches |
project_specific | Project-specific conventions |
/learn skill - Manual pattern extraction mid-sessioncontinuous-learning-v2 - Advanced instinct-based learning system