Orchestrator Skill

Central routing intelligence for the task management system.

Context Loading

Load context on-demand when needed:

•@.claude/context/core/orchestration/orchestration-core.md - Routing, delegation, session tracking
•@.claude/context/core/orchestration/state-management.md - Task lookup and status validation
•@.claude/context/index.md - Full context discovery index

Trigger Conditions

This skill activates when:

•A slash command needs language-based routing
•Task context needs to be gathered before delegation
•Multi-step workflows require coordination

Core Responsibilities

1. Task Lookup

Given a task number, retrieve full context:

code

1. Read specs/state.json
2. Find task by project_number
3. Extract: language, status, project_name, description, priority
4. Read TODO.md for additional context if needed

2. Language-Based Routing

Route to appropriate skill based on task language:

Language	Research Skill	Implementation Skill
neovim	skill-neovim-research	skill-neovim-implementation
latex	skill-researcher	skill-latex-implementation
typst	skill-researcher	skill-typst-implementation
general	skill-researcher	skill-implementer
meta	skill-researcher	skill-implementer
markdown	skill-researcher	skill-implementer

3. Status Validation

Before routing, validate task status allows the operation:

Operation	Allowed Statuses
research	not_started, planned, partial, blocked
plan	not_started, researched, partial
implement	planned, implementing, partial, researched
revise	planned, implementing, partial, blocked

4. Context Preparation

Prepare context package for delegated skill:

json

{
  "task_number": 259,
  "task_name": "task_slug",
  "language": "neovim",
  "status": "planned",
  "description": "Full task description",
  "artifacts": {
    "research": ["path/to/research.md"],
    "plan": "path/to/plan.md"
  },
  "focus_prompt": "Optional user-provided focus"
}

Execution Flow

code

1. Receive command context (task number, operation type)
2. Lookup task in state.json
3. Validate status for operation
4. Determine target skill by language
5. Prepare context package
6. Invoke target skill via Task tool
7. Receive and validate result
8. Return result to caller

Return Format

json

{
  "status": "completed|partial|failed",
  "routed_to": "skill-name",
  "task_number": 259,
  "result": {
    "artifacts": [],
    "summary": "..."
  }
}

Error Handling

•Task not found: Return clear error with suggestions
•Invalid status: Return error with current status and allowed operations
•Skill invocation failure: Return partial result with error details