Orchestrator——Tencent——CodingPlan

**Token/resource control and efficiency rules added for orchestrated tasks.** - Introduced detailed token and file size budgeting rules before spawning sub-agents, including user confirmation thresholds. - Added new sections and best practices on task merging, model cost ordering, and when to prefer direct execution to save tokens. - Outlined strict file and task limits (e.g., max sub-agents, file size, and transfer size), plus rules for summarizing and optimizing file transmission. - Clarified operating environment limitations for sub-agents (no local tools, file system, or custom networking). - Expanded examples and reference tables showing how and when to use orchestration, with an emphasis on cost-awareness. - Updated security section to highlight new token budgeting features.

orchestrator-tencent-codingplan v1.0.5 - Improved SKILL.md for clarity, conciseness, and easier onboarding. - Enhanced model/task routing documentation, with clear tables for model assignments. - Data privacy and security sections rewritten for better user understanding. - Usage instructions streamlined, including architecture and workflow overview. - Expanded best practices and requirements sections for user guidance. - No code or functional changes in this version.

Version 1.0.4 - Simplified and clarified requirements and security disclosure section. - Reorganized credential and prerequisite information for easier setup and reference. - Clearly listed external API endpoints and updated data flow/privacy explanations. - Explicitly stated autonomous behaviors, limitations, and user consent requirements. - Enhanced markdown for readability and removed redundant setup/configuration examples. - Updated metadata: now marks externalAccess as true and documents used external endpoint.

## orchestrator-tencent-codingplan 1.0.3 - Added a detailed "Requirements & Security Disclosure" section to SKILL.md, explaining credential configuration, data flow, privacy, cost implications, and autonomous behavior. - Clarified how credentials are handled and what data is sent to Tencent Coding Plan models. - Provided sample configuration for setting up API keys. - Outlined user consent statements and privacy assurances. - No changes to core orchestration workflow, usage, or model assignment tables.

## orchestrator-tencent-codingplan v1.0.2 Changelog - Clarified requirements and trigger conditions in the description for better transparency. - Added explicit note in the skill description that the skill autonomously spawns sub-agents and requires tencent-coding-plan provider with specific models. - Updated metadata to include an emoji, specify required providers and models, declare workspace data access, and clarify security model. - Removed credential requirement details and simplified capability statements. - No changes to core logic or workflow.

- Added explicit metadata requirements for Tencent Coding Plan integration, including required models, API capabilities, and API key configuration. - Declared and documented security and delegation behavior—clarifies that the skill autonomously spawns sub-agents, with all actions logged and user notifications. - No changes to orchestration approach, usage, or execution steps. - Documentation improvements for platform integration and security transparency.

orchestratortencentcodingplan v1.0.0 - Initial release of the orchestrator skill for Tencent Coding Plan. - Transforms the assistant into a project manager that delegates work to sub-agents based on task type. - Automatically assigns the best AI model from Coding Plan for each subtask (e.g., coding, search, data-processing). - Provides a clear decision tree, workflow, and model assignment table to maximize efficiency and output quality. - Includes example scenarios, prompt templates, progress updates, and failure handling instructions.