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ce7a5938c1
Repository Restructure: - Move all 83 agent .md files to agents/ subdirectory - Add 15 workflow orchestrators from commands repo to workflows/ - Add 42 development tools from commands repo to tools/ - Update README for unified repository structure This prepares the repository for unified plugin marketplace integration. The commands repository functionality is now fully integrated, providing complete workflow orchestration and development tooling alongside agents. Directory Structure: - agents/ - 83 specialized AI agents - workflows/ - 15 multi-agent orchestration commands - tools/ - 42 focused development utilities No breaking changes to agent functionality - all agents remain accessible with same names and behavior. Adds workflow and tool commands for enhanced multi-agent coordination capabilities.
2.1 KiB
2.1 KiB
model
| model |
|---|
| claude-sonnet-4-0 |
Restore saved project context for agent coordination:
[Extended thinking: This tool uses the context-manager agent to restore previously saved project context, enabling continuity across sessions and providing agents with comprehensive project knowledge.]
Context Restoration Process
Use Task tool with subagent_type="context-manager" to restore and apply saved context.
Prompt: "Restore project context for: $ARGUMENTS. Perform the following:
-
Locate Saved Context
- Find the most recent or specified context version
- Validate context integrity
- Check compatibility with current codebase
-
Load Context Components
- Project overview and goals
- Architectural decisions and rationale
- Technology stack and patterns
- Previous agent work and findings
- Known issues and roadmap
-
Apply Context
- Set up working environment based on context
- Restore project-specific configurations
- Load coding conventions and patterns
- Prepare agent coordination history
-
Validate Restoration
- Verify context applies to current code state
- Identify any conflicts or outdated information
- Flag areas that may need updates
-
Prepare Summary
- Key points from restored context
- Important decisions and patterns
- Recent work and current focus
- Suggested next steps
Return a comprehensive summary of the restored context and any issues encountered."
Context Integration
The restored context will:
- Inform all subsequent agent invocations
- Maintain consistency with past decisions
- Provide historical knowledge to agents
- Enable seamless work continuation
Usage Scenarios
Use context restoration when:
- Starting work after a break
- Switching between projects
- Onboarding to an existing project
- Needing historical project knowledge
- Coordinating complex multi-agent workflows
Additional Options
- Restore specific context version: Include version timestamp
- Partial restoration: Restore only specific components
- Merge contexts: Combine multiple context versions
- Diff contexts: Compare current state with saved context
Context to restore: $ARGUMENTS