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https://github.com/wshobson/agents.git
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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.
1.9 KiB
1.9 KiB
model
| model |
|---|
| claude-sonnet-4-0 |
Save current project context for future agent coordination:
[Extended thinking: This tool uses the context-manager agent to capture and preserve project state, decisions, and patterns. This enables better continuity across sessions and improved agent coordination.]
Context Capture Process
Use Task tool with subagent_type="context-manager" to save comprehensive project context.
Prompt: "Save comprehensive project context for: $ARGUMENTS. Capture:
-
Project Overview
- Project goals and objectives
- Key architectural decisions
- Technology stack and dependencies
- Team conventions and patterns
-
Current State
- Recently implemented features
- Work in progress
- Known issues and technical debt
- Performance baselines
-
Design Decisions
- Architectural choices and rationale
- API design patterns
- Database schema decisions
- Security implementations
-
Code Patterns
- Coding conventions used
- Common patterns and abstractions
- Testing strategies
- Error handling approaches
-
Agent Coordination History
- Which agents worked on what
- Successful agent combinations
- Agent-specific context and findings
- Cross-agent dependencies
-
Future Roadmap
- Planned features
- Identified improvements
- Technical debt to address
- Performance optimization opportunities
Save this context in a structured format that can be easily restored and used by future agent invocations."
Context Storage
The context will be saved to .claude/context/ with:
- Timestamp-based versioning
- Structured JSON/Markdown format
- Easy restoration capabilities
- Context diffing between versions
Usage Scenarios
This saved context enables:
- Resuming work after breaks
- Onboarding new team members
- Maintaining consistency across agent invocations
- Preserving architectural decisions
- Tracking project evolution
Context to save: $ARGUMENTS