Tutoring

Content updated.

Content updated.

Content updated.

Display title updated.

- Renamed the skill and documentation from "learn-cog" to "tutoring-education-cellcog" for clearer identification. - Updated SKILL.md for the new skill name and branding; references, headers, and front matter now use the new name. - Removed the redundant skill-card.md file for a cleaner repository. - No functional changes to the SDK usage, features, or example prompts.

- Added `requires` section to metadata, specifying dependency on `python3` and environment variable `CELLCOG_API_KEY`. - No changes to user-facing features or documentation content.

- Updated the description to be more concise and to better reflect the skill’s features. - Clarified usage instructions for OpenClaw and other agent types. - Minor editorial refinements for clarity and consistency throughout the SKILL.md. - No functionality or user-facing feature changes; documentation only.

- Updated description with more concise wording and enhanced focus on five-way explanations and DeepResearch ranking. - Improved and clarified SDK example usage, including explicit agent_provider setup for non-OpenClaw platforms. - Refined introductory and instructional language for easier onboarding. - No changes to features or functionality; documentation only.

- Simplified and clarified skill description for brevity. - Added a "How to Use" section with updated quickstart instructions, emphasizing using the cellcog skill for full SDK details. - Consolidated and streamlined the explanations for usage in different agent environments. - Reformatted and focused sections for Concept Explanations, Homework & Problem Solving, Study Materials, Coding/Tech Learning, and Language Learning. - Cleaned up tips and added missing steps for getting started if CellCog is not installed. - Removed redundant and overly detailed sections to make the documentation more concise and accessible.

- Expanded and restructured documentation with detailed examples and prompt templates for every subject and use-case. - Emphasized CellCog’s ability to explain concepts five different ways: diagrams, analogies, worked examples, interactive lessons, and more. - Included sample prompts for concept explanations, homework help, study materials, coding tutorials, and language practice to demonstrate versatility. - Updated subject coverage lists and added guidance on tailoring responses for different learning styles. - Detailed recommended chat modes for various learning scenarios. - Added new tips to help users get the most effective educational support.

learn-cog 1.0.7 Changelog - Updated SKILL.md: streamlined content and clarified capabilities. - Shortened and simplified the description. - Reduced detailed examples and feature explanations; focused on summary of outputs and supported formats. - Added a new "Related Skills" section referencing research-cog and docs-cog. - Kept prerequisite and usage instructions, but removed lengthy subject and prompt samples for brevity.

- Added specific OpenClaw usage instructions, including recommended "fire-and-forget" agent pattern and session key for long tasks. - Updated quick start and SDK usage examples for clarity on agent selection and blocking vs. non-blocking calls. - Streamlined SDK reference note, removing redundant details and pointing users to primary skill documentation. - No functional or interface changes to the tutoring/coaching workflows.

- Updated the Prerequisites section with a simplified "Quick start" code example. - Referred users to the cellcog skill for detailed SDK usage, delivery modes, and advanced API features. - Removed fire-and-forget / notify session key code example in favor of standard usage. - No functional or interface changes; documentation improvement only.

- Updated DeepResearch Bench ranking date in documentation from Feb 2026 to Apr 2026. - No functional or interface changes; documentation alignment only.

- Updated skill description for clarity and broader appeal. - Added supported operating systems and homepage link to metadata. - No changes to core functionality; documentation improvements only.

- Added author and dependencies fields to skill metadata for clarity and usability. - Updated prerequisite instructions: clarified that `cellcog` is now a required dependency for SDK setup and API calls. - No changes to core learning modes or features; documentation and usage patterns remain the same.

- Enhanced focus on multi-modal, multi-approach explanations (diagrams, analogies, examples, practice, interactive) across all subjects. - Updated description and introduction to emphasize reasoning depth and ranking (#1 on DeepResearch Bench, Feb 2026). - Added highlight of “explaining concepts five different ways” as Learn-Cog’s core advantage. - Refined messaging throughout for clarity and stronger positioning as a top-tier AI tutor. - No changes to functionality, examples, or usage patterns; update is documentation-only.

Learn-cog 1.0.0: Initial Release - Launches AI-powered learning assistant leveraging CellCog. - Offers support for homework help, tutoring, study guides, explanations, coding tutorials, language learning, and exam prep. - Provides example prompts for a variety of use cases and learning styles. - Requires installation and setup of the CellCog skill for API access. - Details use of "agent" and "agent team" chat modes for tailored learning experiences. - Comprehensive documentation for effective prompts and best practices.