agent-orchestration
Agent Orchestration is a context management pattern that delegates multi-file implementation tasks to spawned agents rather than executing them in the main conversation. Use this approach when implementing features, following multi-phase plans, or creating code with tests to preserve main context tokens, reserving the primary conversation for high-level coordination and receiving summaries instead of detailed work logs.
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3 /tmp/agent-orchestration && cp -r /tmp/agent-orchestration/.claude/skills/agent-orchestration ~/.claude/skills/agent-orchestrationSKILL.md
# Agent Orchestration Rules
When the user asks to implement something, use implementation agents to preserve main context.
## The Pattern
**Wrong - burns context:**
```
Main: Read files → Understand → Make edits → Report
(2000+ tokens consumed in main context)
```
**Right - preserves context:**
```
Main: Spawn agent("implement X per plan")
↓
Agent: Reads files → Understands → Edits → Tests
↓
Main: Gets summary (~200 tokens)
```
## When to Use Agents
| Task Type | Use Agent? | Reason |
|-----------|------------|--------|
| Multi-file implementation | Yes | Agent handles complexity internally |
| Following a plan phase | Yes | Agent reads plan, implements |
| New feature with tests | Yes | Agent can run tests |
| Single-line fix | No | Faster to do directly |
| Quick config change | No | Overhead not worth it |
## Key Insight
Agents read their own context. Don't read files in main chat just to understand what to pass to an agent - give them the task and they figure it out.
## Example Prompt
```
Implement Phase 4: Outcome Marking Hook from the Artifact Index plan.
**Plan location:** thoughts/shared/plans/2025-12-24-artifact-index.md (search for "Phase 4")
**What to create:**
1. TypeScript hook
2. Shell wrapper
3. Python script
4. Register in settings.json
When done, provide a summary of files created and any issues.
```
## Trigger Words
When user says these, consider using an agent:
- "implement", "build", "create feature"
- "follow the plan", "do phase X"
- "use implementation agents"Security vulnerability analysis and testing
Build Python agents using Agentica SDK - spawn agents, implement agentic functions, multi-agent orchestration
Unit and integration test execution and validation
Feature planning, design documentation, AND integration planning
End-to-end and acceptance test execution
Analyze Claude Code sessions using Braintrust logs
Session analysis, precedent lookup, and learning extraction
Query the artifact index for precedent and guidance