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d2f3886ae1
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 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- Identify any conflicts or outdated information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