install
source · Clone the upstream repo
git clone https://github.com/parcadei/Continuous-Claude-v3
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/parcadei/Continuous-Claude-v3 "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/agent-orchestration" ~/.claude/skills/parcadei-continuous-claude-v3-agent-orchestration && rm -rf "$T"
manifest:
.claude/skills/agent-orchestration/SKILL.mdsource content
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"