eoa-task-distribution

Task Distribution Skill

Overview

This skill defines how the Orchestrator (EOA) distributes tasks to agents. Distribution is based on order, priority, and agent state - not arbitrary timing. Tasks are selected from the ready queue, sorted by priority, filtered by dependencies, matched to agent capabilities, and assigned via labeled issues and AI Maestro messages.

Prerequisites

1. Read AGENT_OPERATIONS.md for orchestrator workflow
2. Read eoa-label-taxonomy for label usage and cardinality rules
3. Read eoa-messaging-templates for message formats
4. Access to GitHub CLI (gh) and AI Maestro API
5. Understanding of agent states (active, hibernated, offline)

---

1. Task Distribution Order

Tasks are distributed following this order:

Step	Action	Condition
1	Identify ready tasks	Tasks with status:ready label
2	Sort by priority	priority:critical > priority:high > priority:normal > priority:low
3	Check dependencies	Task's blockedBy list is empty
4	Select agent	Match task requirements to available agents
5	Assign task	Add assign:<agent> label, send AI Maestro message using the agent-messaging skill

---

2. Agent Selection Criteria

When selecting an agent for a task, evaluate in this order:

2.1 Availability Check

State	Can Assign	Action
Active, no current task	Yes	Assign immediately
Active, has current task	Maybe	Check if at capacity
Hibernated	No	Wake first or select different agent
Offline	No	Select different agent

2.2 Skill Match

Match task requirements (toolchain:*, component:* labels) to agent capabilities:

Task labels: toolchain:python, component:api
Agent skills: python, api, testing

Match score: 2/2 required = 100% match

2.3 Capacity Check

Agent Load	Can Assign
0 active tasks	Yes
1-2 active tasks	Yes, if high priority
3+ active tasks	No, agent at capacity

---

3. Assignment Protocol

3.1 Update Labels

# Remove any existing assign:* label first
gh issue view $ISSUE --json labels | jq -r '.labels[].name' | grep '^assign:' | while read label; do
  gh issue edit $ISSUE --remove-label "$label"
done

# Add new assignment
gh issue edit $ISSUE --add-label "assign:$AGENT_NAME"

# Update status
gh issue edit $ISSUE --remove-label "status:ready" --add-label "status:in-progress"

3.2 Send Assignment Message

Use template from eoa-messaging-templates (section 2.1):

Note: Use the agent-messaging skill to send messages. The JSON structure below shows the message content.

{
  "from": "orchestrator",
  "to": "<agent-name>",
  "subject": "Task Assignment: <task-title>",
  "priority": "high",
  "content": {
    "type": "request",
    "message": "You are assigned: <task-description>. Success criteria: <criteria>. Report status when starting and when complete.",
    "data": {
      "task_id": "<task-id>",
      "issue_number": "<github-issue-number>",
      "handoff_doc": "docs_dev/handoffs/<handoff-filename>.md"
    }
  }
}

3.3 Wait for ACK

After sending assignment, wait for agent acknowledgment. See eoa-progress-monitoring for response handling.

---

4. Dependency Management

4.1 Dependency Types

Type	Example	Handling
Hard	Module B needs Module A's API	Block B until A complete
Soft	Testing can start with stubs	Assign with note about dependency
None	Independent tasks	Assign in parallel

4.2 Dependency Resolution

Task A: status:in-progress, blocks: [B, C]
Task B: status:ready, blockedBy: [A] → Cannot assign yet
Task C: status:ready, blockedBy: [A] → Cannot assign yet

When Task A completes:
- Update A: status:done
- B and C become assignable

4.3 Circular Dependency Detection

If detected, STOP and report to user:

CIRCULAR DEPENDENCY:
Task A → depends on → Task B
Task B → depends on → Task A

Cannot proceed. User decision required.

---

5. Load Balancing

5.1 Even Distribution

When multiple agents can handle a task:

1. Check current load (active tasks per agent)
2. Prefer agent with lowest load
3. If equal load, prefer agent who completed similar tasks recently

5.2 Specialization

Some tasks benefit from agent specialization:

Task Type	Preferred Agent
Code review	Agent who wrote the code (context)
Bug fix	Agent who implemented feature
New feature	Agent with matching skills

---

6. Reassignment

When reassigning a task (agent unresponsive or blocked):

1. Remove current assign:* label
2. Add assign:<new-agent> label
3. Send reassignment message to new agent using the agent-messaging skill with context
4. Notify original agent: "Task reassigned"
5. Include any partial progress from original agent

6.1 Reassignment Checklist

Copy this checklist and track your progress:

• Confirm reassignment is necessary (agent unresponsive after full escalation, or agent at capacity)
• Gather partial progress from original agent (check issue comments, PRs, branches)
• Remove current assign:* label from the issue
• Add assign:<new-agent> label to the issue
• Send reassignment message to new agent via AI Maestro using the agent-messaging skill (include all task context and partial progress)
• Notify original agent via AI Maestro: "Task reassigned to "
• Verify new agent sends ACK
• Log reassignment in delegation log file

---

7. When a Distributed Task Becomes Blocked

If an agent reports that a distributed task is blocked, EOA must take IMMEDIATE action:

7.1 Blocker Response Steps

1. Acknowledge the blocker via AI Maestro message to the reporting agent
2. Record the task's previous column BEFORE moving to Blocked (e.g., "In Progress", "AI Review", "Testing")
3. Move the task to the Blocked column on the Kanban board
4. Update labels: remove current status:*, add status:blocked
5. Add comment to the blocked task issue with blocker details and previous status
6. Create a separate GitHub issue for the blocker itself (labeled type:blocker, referencing the blocked task). This makes the blocking problem visible to all agents and team members on the issue tracker. Example:

   gh issue create --title "BLOCKER: Missing AWS credentials" --label "type:blocker" \
     --body "Blocking task #42. Category: Access/Credentials. What's needed: AWS credentials provisioned."
   

7. Escalate to EAMA IMMEDIATELY with blocker-escalation message (see eoa-messaging-templates). Include the blocker issue number.
   • Do NOT wait or "monitor for 24h first"
   • User must be informed immediately - they may have the solution ready
8. Check if any other unblocked tasks can be assigned to the waiting agent
9. Monitor for self-resolution while waiting for user response
10. When resolved, close the blocker issue and restore task to its PREVIOUS column (not always "In Progress")

7.2 Example Blocker Escalation Message

Note: Use the agent-messaging skill to send messages. The JSON structure below shows the message content.

{
  "from": "eoa-orchestrator",
  "to": "eama-assistant-manager",
  "subject": "BLOCKER: Task #42 - Missing API Credentials",
  "priority": "high",
  "content": {
    "type": "blocker-escalation",
    "message": "Task #42 is blocked. Agent impl-01 reports: Cannot deploy to staging - missing AWS credentials. Blocker tracked in issue #99.",
    "data": {
      "task_id": "42",
      "blocker_issue_number": "99",
      "assigned_agent": "impl-01",
      "blocker_category": "access-credentials",
      "previous_status": "status:ai-review",
      "impact": "Cannot complete deployment testing"
    }
  }
}

7.3 Verification Before Escalation

Before escalating, verify the blocker is REAL:

Check	Question	Action if False
Cannot self-resolve	Can the agent solve this themselves?	Guide agent to solution, do not escalate
Not a knowledge gap	Is this a "how to" question?	Direct to documentation/skills, do not escalate
Not a process issue	Is this a team process the agent should follow?	Explain process, do not escalate
Truly blocking	Can work continue on other parts of the task?	Suggest parallel work, escalate only the blocking part

Only escalate TRUE blockers that require user/architect intervention or resources the agent cannot access.

7.4 Checklist: Move Task to Blocked Column

Copy this checklist and track your progress:

• Verify the blocker is real (section 7.3 verification table)
• Acknowledge the blocker via AI Maestro to the reporting agent
• Record the task's current column/status BEFORE moving to Blocked
• Move the task to the Blocked column on the Kanban board
• Remove current status:* label, add status:blocked
• Add blocker details as comment on the blocked task issue (include Previous status: $CURRENT_STATUS)
• Create a separate GitHub issue for the blocker (type:blocker label, referencing the blocked task)
• Send blocker-escalation message to EAMA via AI Maestro using the agent-messaging skill (include blocker_issue_number)
• Check if other unblocked tasks can be assigned to the waiting agent

7.5 Checklist: Move Task Back to Original Column (Blocker Resolved)

Copy this checklist and track your progress:

• Verify the blocker is actually resolved (do not assume)
• Retrieve the task's previous status from the blocker comment (Previous status: ...)
• Add resolution comment on the blocked task issue
• Close the blocker issue: gh issue close $BLOCKER_ISSUE --comment "Resolved: [details]"
• Remove status:blocked label from the task
• Restore previous status label on the task (e.g., status:in-progress, status:ai-review)
• Move task back to its PREVIOUS column on the Kanban board (not always "In Progress")
• Notify the assigned agent via AI Maestro that the blocker is resolved and work can resume
• Log the resolution in the issue timeline

---

Instructions

Follow these steps to distribute tasks to agents:

1. Query all issues with status:ready label
2. Sort ready tasks by priority (critical > high > normal > low)
3. For each task in priority order:
   1. Check if dependencies are resolved (blockedBy list is empty)
   2. If blocked, skip to next task
   3. If ready, evaluate available agents for skill match
   4. Select agent with best match score and lowest current load
   5. Remove any existing assign:* label from the issue
   6. Add assign:<agent-name> label to the issue
   7. Update issue status from status:ready to status:in-progress
   8. Send task assignment message via AI Maestro using the agent-messaging skill (see section 3.2)
   9. Wait for agent ACK before considering next task
   10. Log assignment in delegation log file

Checklist

Copy this checklist and track your progress:

Task Distribution Workflow:

• Query all issues with status:ready label
• Sort ready tasks by priority (critical > high > normal > low)
• Check if task dependencies are resolved (blockedBy list empty)
• If blocked, skip to next task
• Evaluate available agents for skill match
• Check agent availability (active, hibernated, offline)
• Check agent capacity (0-2 tasks acceptable, 3+ at capacity)
• Select agent with best match score and lowest load
• Remove any existing assign:* label from the issue
• Add assign:<agent-name> label to the issue
• Update issue status from status:ready to status:in-progress
• Send task assignment message via AI Maestro using the agent-messaging skill
• Wait for agent ACK before considering next task
• Log assignment in delegation log file

---

Output

Output Type	Format	Example
Assignment confirmation	GitHub label + AI Maestro message	assign:implementer-1 label + ACK message received
Task queue report	Markdown table	List of ready tasks sorted by priority
Agent availability report	JSON	{"agent": "impl-01", "load": 1, "state": "active"}
Dependency graph	Text or diagram	Task A blocks [B, C], Task D ready
Delegation log entry	Timestamped text	2024-01-15T10:30:00Z: Assigned #42 to implementer-1

---

Error Handling

Error	Cause	Solution
No available agents	All agents at capacity or offline	Wait for agent capacity or escalate to user
Circular dependency detected	Task A blocks B, B blocks A	Report to user for manual resolution
Agent does not ACK assignment	Agent unresponsive or hibernated	Send reminder, then escalate to eoa-progress-monitoring
Skill mismatch	No agent has required toolchain	Escalate to user or reassign with training
Dependency never completes	Blocking task stuck	Escalate to eoa-progress-monitoring for blocker resolution
Label conflict (multiple assign:*)	Concurrent update	Remove all assign:* labels, reapply correct one

---

Examples

Example 1: Query and Sort Ready Tasks

# Get all ready tasks as JSON
gh issue list --label "status:ready" --json number,title,labels,createdAt | \
  jq 'sort_by(
    .labels[] | select(.name | startswith("priority:")) | .name |
    if . == "priority:critical" then 0
    elif . == "priority:high" then 1
    elif . == "priority:normal" then 2
    else 3 end
  )'

Example 2: Check Agent Availability via AI Maestro

Use the ai-maestro-agents-management skill to query agent availability:

• Query the agent registry for implementer-1 to get their current task count
• Check the agent's last seen timestamp to determine if they are responsive

Example 3: Assign Task with Full Protocol

ISSUE=42
AGENT="implementer-1"

# 1. Remove existing assignment
gh issue view $ISSUE --json labels | jq -r '.labels[] | select(.name | startswith("assign:")) | .name' | \
  xargs -I {} gh issue edit $ISSUE --remove-label "{}"

# 2. Add new assignment
gh issue edit $ISSUE --add-label "assign:$AGENT"

# 3. Update status
gh issue edit $ISSUE --remove-label "status:ready" --add-label "status:in-progress"

# 4. Send task assignment using the agent-messaging skill:
# - Recipient: $AGENT
# - Subject: "Task Assignment: Implement feature X"
# - Content: "You are assigned issue #$ISSUE. Success criteria: implement X, pass tests. Report when complete."
# - Type: request, Priority: high
# - Data: issue_number
# Verify: confirm message delivery

Example 4: Handle Circular Dependency

# Detect circular dependency
TASK_A_BLOCKS=$(gh issue view 10 --json body | jq -r '.body | match("blocks: \\[([0-9, ]+)\\]") | .captures[0].string')
TASK_B_BLOCKS=$(gh issue view 11 --json body | jq -r '.body | match("blocks: \\[([0-9, ]+)\\]") | .captures[0].string')

# If A blocks B and B blocks A:
if echo "$TASK_A_BLOCKS" | grep -q "11" && echo "$TASK_B_BLOCKS" | grep -q "10"; then
  echo "CIRCULAR DEPENDENCY DETECTED: #10 ↔ #11"
  echo "User intervention required to break cycle."
  # Report to user via EAMA
fi

---

Resources

• AGENT_OPERATIONS.md - Core orchestrator workflow
• eoa-label-taxonomy - Label categories and cardinality rules
• eoa-messaging-templates - Message templates for task assignment
• eoa-progress-monitoring - Agent state tracking and escalation
• eoa-implementer-interview-protocol - Pre-task and post-task verification