delegation

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Dispatch implementation tasks to agent teammates in git worktrees. Triggers: 'delegate', 'dispatch tasks', 'assign work', or /delegate. Spawns teammates, creates worktrees, monitors progress. Supports --fixes flag. Do NOT use for single-file changes or polish-track refactors.

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NPX Install

npx skill4agent add lvlup-sw/exarchos delegation

Delegation Skill

Dispatch implementation tasks to subagents with proper context, worktree isolation, and TDD requirements. This skill follows a three-step flow: Prepare, Dispatch, Monitor.

Triggers

Activate this skill when:
  • User runs
    /delegate
    command
  • Implementation plan is ready with extractable tasks
  • User wants to parallelize work across subagents
Exception — oneshot workflows skip delegation entirely. The oneshot playbook runs an in-session TDD loop in the main agent's context, with no subagent dispatch or review phase. If
workflowType === "oneshot"
, do not call this skill — see
@skills/oneshot-workflow/SKILL.md
for the lightweight path.

Core Principles

Fresh Context Per Task (MANDATORY)

Each subagent MUST start with a clean, self-contained context. As established in the Anthropic best practices for multi-agent coordination:
  • No shared state assumptions. Every subagent prompt must contain the full task description, file paths, TDD requirements, and acceptance criteria. Never say "see the plan" or "as discussed earlier."
  • No cross-agent references. Subagent A must not depend on output from Subagent B unless explicitly sequenced with a dependency edge in the plan.
  • Isolated worktrees. Each subagent operates in its own
    git worktree
    . Parallel agents in the same worktree will corrupt branch state.
Rationalization patterns that violate this principle are catalogued in
references/rationalization-refutation.md
.

Delegation Modes

The default
subagent
mode dispatches each task using the runtime's spawn primitive:
task
.
Use the
recommendedModel
from
prepare_delegation
task classifications when available. If no classification exists (e.g., fixer dispatch), omit
model
to inherit the session default.

Pre-Dispatch Schema Discovery

Before dispatching, query decision runbooks to classify the work and select the right strategy:
  1. Task complexity:
    exarchos_orchestrate({ action: "runbook", id: "task-classification" })
    to get the cognitive complexity classification tree. Low-complexity tasks can use the scaffolder agent spec for faster execution.
  2. Dispatch strategy:
    exarchos_orchestrate({ action: "runbook", id: "dispatch-decision" })
    for dispatch strategy (parallel vs sequential, team sizing, isolation mode).

Step 1: Prepare

Use the
prepare_delegation
composite action to validate readiness in a single call. This replaces manual script invocations and individual checks.
Authoritative spec: the canonical list of preconditions, blockers, and arguments for
prepare_delegation
lives in the runtime — query it with
exarchos_orchestrate({ action: "describe", actions: ["prepare_delegation"] })
if anything in this skill drifts from observed behavior. Treat the runtime
describe
output as the source of truth.

Step 0 — Pre-emit (required before
prepare_delegation
)

Before calling
prepare_delegation
, the workflow stream must contain a
task.assigned
event for each task. The readiness view counts these events to populate
taskCount
; without them,
prepare_delegation
returns
{ ready: false, blockers: ["no task.assigned events found ..."] }
.
typescript
exarchos_event({
  action: "batch_append",
  stream: "<featureId>",
  events: tasks.map((t) => ({
    type: "task.assigned",
    data: { taskId: t.id, title: t.title, branch: t.branch },
  })),
})

Step 1 — Prepare (readiness check)

typescript
exarchos_orchestrate({
  action: "prepare_delegation",
  featureId: "<featureId>",
  tasks: [{ id: "task-001", title: "...", modules: [...] }, ...]
})
The composite action performs:
  1. Worktree creation — creates
    .worktrees/task-<id>
    with
    git worktree add
    , runs
    npm install
  2. State validation — verifies workflow state is in
    delegate
    phase, plan exists, plan approved
  3. Quality signal assembly — queries
    code_quality
    view; if
    gatePassRate < 0.80
    , returns quality hints to embed in prompts. Emits
    gate.executed('plan-coverage')
    on success (no pre-query needed)
  4. Benchmark detection — sets
    verification.hasBenchmarks
    if any task has benchmark criteria
  5. Readiness verdict — returns
    { ready: true, worktrees: [...], qualityHints: [...] }
    or
    { ready: false, reason: "..." }
If
blocked: true
with
reason: "current-branch-protected"
:
the response includes a
hint
field (e.g. "checkout the feature/phase branch before dispatching delegation"). Apply the hint, then re-call.
If
ready: false
:
Stop. Report the reason to the user. Do not proceed.
If
ready: true
:
Extract the
worktrees
paths and
qualityHints
for prompt construction.

Task Extraction

From the implementation plan, extract for each task:
  • Full task description (paste inline; never reference external files)
  • Files to create/modify with absolute worktree paths
  • Test file paths and expected test names
  • Dependencies on other tasks (for sequencing)
  • Property-based testing flag (
    testingStrategy.propertyTests
    )
For a complete worked example of this flow, see
references/worked-example.md
.

Step 2: Dispatch

Build subagent prompts using
references/implementer-prompt.md
as the template. Each prompt MUST include the full task context — this is the fresh-context principle in action.

Prompt Construction

On runtimes with native agent definitions:
The implementer agent definition already includes the system prompt, model, isolation, skills, hooks, and memory. The dispatch prompt should contain ONLY task-specific context:
  1. Full task description (requirements, acceptance criteria)
  2. Working directory (worktree path from Step 1)
  3. File paths to create/modify and test file paths
  4. Quality hints (if any)
  5. PBT flag when
    propertyTests: true
Full prompt template (default):
For each task:
  1. Fill the implementer prompt template with task-specific details
  2. Set the
    Working Directory
    to the worktree path from Step 1
  3. Include quality hints (if any) in the Quality Signals section
  4. Include PBT section from
    references/pbt-patterns.md
    when
    propertyTests: true
  5. Include testing patterns from
    references/testing-patterns.md

Decision Runbooks

For dispatch strategy decisions, query the decision runbook:
exarchos_orchestrate({ action: "runbook", id: "dispatch-decision" })
This runbook provides structured criteria for parallel vs sequential dispatch, team sizing, and failure escalation.

Parallel Dispatch

Dispatch all independent tasks using the runtime's native spawn primitive in a single message so the dispatches run in parallel.
typescript
task --agent implementer 'Implement task-001: [title]: Task-specific context: requirements, file paths, acceptance criteria'
Note: Include the full implementer prompt template from
references/implementer-prompt.md
in the dispatch payload so the spawned agent has a self-contained context — runtimes that pre-bind the implementer prompt to a named agent will discard the redundant content automatically.
For parallel grouping strategy and model selection, see
references/parallel-strategy.md
.

Step 3: Monitor and Collect

Subagent Monitoring

Collect background task results using the runtime's result-collection primitive (this may be a poll/await per task or inline replies, depending on the runtime):
text
inline reply from task --agent (no separate collection API)
After each subagent reports completion:
Runbook: For each completed task, execute the task-completion runbook:
exarchos_orchestrate({ action: "runbook", id: "task-completion" })
Execute the returned steps in order. Stop on gate failure. If the runbook action is unavailable, use
describe
to retrieve gate schemas and run manually:
exarchos_orchestrate({ action: "describe", actions: ["check_tdd_compliance", "check_static_analysis", "task_complete"] })
  1. Extract provenance from subagent report — parse the subagent's completion output and extract structured provenance fields (
    implements
    ,
    tests
    ,
    files
    ). These fields are reported by the subagent following the Provenance Reporting section of the implementer prompt.
  2. Verify worktree state — confirm each worktree has clean
    git status
    and passing tests
  3. Run blocking gates — the
    task-completion
    runbook (referenced above) defines the exact gate sequence (TDD compliance, static analysis, then task_complete). On any gate failure, keep the task in-progress and report findings. All gate handlers auto-emit
    gate.executed
    events, so manual
    exarchos_event
    calls are not needed.
  4. Pass provenance in task completion — when marking a task complete, pass the extracted provenance fields in the
    result
    parameter so they flow into the
    task.completed
    event:
typescript
exarchos_orchestrate({
  action: "task_complete",
  taskId: "<taskId>",
  streamId: "<featureId>",
  result: {
    summary: "<task summary>",
    implements: ["DR-1", "DR-3"],
    tests: [{ name: "testName", file: "path/to/test.ts" }],
    files: ["path/to/impl.ts", "path/to/test.ts"]
  }
})
  1. Update workflow state — set each passing
    tasks[].status
    to
    "complete"
    via
    exarchos_workflow set
  2. Delegation completion gate (D4, advisory) — after ALL tasks pass, run an operational resilience check on the full branch diff before transitioning to review:
typescript
exarchos_orchestrate({
  action: "check_operational_resilience",
  featureId: "<featureId>",
  repoRoot: ".",
  baseBranch: "main"
})
This is advisory — findings are recorded for the convergence view but do not block the delegation→review transition. Include findings in the delegation summary for review-phase attention.
  1. Schema sync — if any task modified API files (
    *Endpoints.cs
    ,
    Models/*.cs
    ), run
    npm run sync:schemas

Failure Recovery

When a task fails:
  1. Read the failure output from the runtime's result-collection primitive (
    inline reply from task --agent (no separate collection API)
    )
  2. Diagnose root cause — do NOT trust the implementer's self-assessment (see R3 adversarial posture)
  3. Fix the task using the fixer flow below
  4. Run the
    task-fix
    runbook gate chain after the fix completes
For the full recovery flow with a concrete example, see
references/worked-example.md
.

Fix Failed Tasks

Dispatch a fresh fixer agent using the runtime's native spawn primitive, carrying the full failure context and the original task description:
typescript
task --agent fixer 'Fix failed task-001: Your implementation failed. [failure context from test output]. Apply adversarial verification: do NOT trust your previous self-assessment, re-read actual test output, identify root cause not symptoms. [Original task context].'
After fix completes, run the
task-fix
runbook gate chain:
exarchos_orchestrate({ action: "runbook", id: "task-fix" })
If runbook unavailable, use
describe
to retrieve gate schemas:
exarchos_orchestrate({ action: "describe", actions: ["check_tdd_compliance", "check_static_analysis", "task_complete"] })

Fix Mode (--fixes)

Handles review failures instead of initial implementation. Uses
references/fixer-prompt.md
template with adversarial verification posture, dispatches fix tasks per issue, then re-invokes review to re-integrate fixes.
Arguments:
--fixes <state-file-path>
— state JSON containing review results in
.reviews.<taskId>.specReview
or
.reviews.<taskId>.qualityReview
.
For detailed fix-mode process, see
references/fix-mode.md
.
Deprecated:
--pr-fixes
has been superseded by
/exarchos:shepherd
. Use the shepherd skill for PR feedback workflows.

Context Compaction Recovery

If context compaction occurs during delegation:
  1. Query workflow state:
    exarchos_workflow get
    with
    fields: ["tasks"]
  2. Check active worktrees:
    ls .worktrees/
    and verify branch state
  3. Reconcile:
    exarchos_workflow reconcile
    replays the event stream and patches stale task state (CAS-protected)
  4. Do NOT re-create branches or re-dispatch agents until confirmed lost

Worktree State Schema

Worktree entries are stored as
worktrees["<wt-id>"]
in workflow state. Each entry requires:
FieldTypeRequiredNotes
branch
stringYesGit branch name
taskId
stringConditionalSingle task ID (use for 1-task worktrees)
tasks
string[]ConditionalMultiple task IDs (use for multi-task worktrees)
status
"active"
|
"merged"
|
"removed"
YesWorktree lifecycle status
Either
taskId
or
tasks
(non-empty array) is required — at least one must be present.
Single-task example:
json
{ "branch": "feat/task-001", "taskId": "task-001", "status": "active" }
Multi-task example:
json
{ "branch": "feat/integration", "tasks": ["task-001", "task-002"], "status": "active" }

Phase Transitions and Guards

For the full transition table, consult
@skills/workflow-state/references/phase-transitions.md
.
Quick reference: The
delegate
review
transition requires guard
all-tasks-complete
— all
tasks[].status
must be
"complete"
in workflow state.
Before transitioning to review: You MUST first update all task statuses to
"complete"
via
exarchos_workflow set
with the tasks array. The phase transition will be rejected by the guard if any task is still pending/in_progress/failed. Update tasks first, then set the phase in a separate call.

Worktree-Bearing Tasks: Auto-Detour to
merge-pending

When a
task.completed
event carries a worktree association (
data.worktree
or
data.worktreePath
), the HSM auto-transitions through
feature/merge-pending
before reaching
review
. The
next_actions
projection surfaces a
merge_orchestrate
verb (idempotency-keyed by
${streamId}:merge_orchestrate:${taskId}
) so a runtime that consumes
next_actions
will dispatch the merge automatically.
The merge lands the subagent's branch on the integration branch via a local
git merge
with a recorded rollback SHA — see
@skills/merge-orchestrator/SKILL.md
. The HSM exits
merge-pending
back to
delegate
once the merge terminates (
completed
/
rolled-back
/
aborted
), at which point
delegate
either re-enters
merge-pending
for the next worktree-bearing task or transitions on to
review
when all delegation is complete.
This detour is invisible to the delegation skill itself — the all-tasks-complete guard still gates the
delegate → review
transition. The merge-pending substate just sits between task completion and the next dispatch decision.

Task Status Values

StatusWhen to use
pending
Task not yet started
in_progress
Task actively being worked on
complete
Task finished successfully
failed
Task encountered an error (requires fix cycle)

Schema Discovery

Use
exarchos_workflow({ action: "describe", actions: ["set", "init"] })
for parameter schemas and
exarchos_workflow({ action: "describe", playbook: "feature" })
for phase transitions, guards, and playbook guidance. Use
exarchos_orchestrate({ action: "describe", actions: ["check_tdd_compliance", "task_complete"] })
for orchestrate action schemas.

When integration advances mid-wave

Runbook for recovering when a subagent worktree's branch has diverged from the integration branch. Triggered by
merge_orchestrate
ancestry preflight: the failure message links here verbatim and includes the manual
git rebase
command. Auto-rebase is not wired today (tracked in #1119) — operators must drive recovery by hand.

Symptom

The merge-orchestrator reports an ancestry failure of the form:
text
source branch <feature-branch> is not a descendant of <integration-branch>.
Rebase manually with: git rebase <integration-branch> (run from the <feature-branch> worktree).
Runbook: skills-src/delegation/SKILL.md#when-integration-advances-mid-wave
This means the integration branch advanced (typically because an earlier worktree merge landed) while the failing worktree was still in flight. Fast-forward merge is no longer safe — the working branch must catch up first.

Why this happens

Each subagent worktree is created at the integration branch's tip at dispatch time. When the orchestrator merges sibling worktrees serially, each merge moves the integration branch forward. A worktree that was dispatched against an older integration tip will fail the ancestry preflight when its turn comes.
This is expected behavior under the current single-writer merge contract — preflight is fail-only on purpose so the operator stays in control.

Recovery procedure

Before each step, verify you are in the main worktree (not the failing subagent worktree) and that
git status
is clean.
  1. Capture the rollback SHA before doing anything destructive:
    bash
    git rev-parse <feature-branch> > /tmp/rollback.sha
    Keep this until the merge has been verified. If anything goes wrong,
    git reset --hard "$(cat /tmp/rollback.sha)"
    on the feature branch restores the pre-rebase state. The filename is intentionally branch-name-free so slash-delimited branches like
    feature/dr-6
    don't break the path with embedded
    /
    characters.
  2. Rebase the feature branch onto the current integration tip:
    bash
    cd <feature-worktree-path>
    git fetch origin
    git rebase <integration-branch>
    Resolve any conflicts that surface. The conflicts are real — they reflect genuine drift between the two branches, not preflight noise. Do not pass
    --strategy-option=theirs
    blindly; that drops the subagent's work.
  3. Re-run ancestry preflight from the main worktree:
    typescript
    exarchos_orchestrate({
      action: "merge_orchestrate",
      featureId: "<featureId>",
      taskId: "<taskId>",
    })
    The preflight should now pass. Proceed with the orchestrator's normal merge flow.

Rollback procedure

If the rebase produces conflicts you cannot resolve safely, or the merge still fails after rebase:
  1. Reset the feature branch to the captured rollback SHA:
    bash
    cd <feature-worktree-path>
    git rebase --abort   # if mid-rebase
    git reset --hard "$(cat /tmp/rollback.sha)"
  2. Mark the task
    failed
    in workflow state and dispatch a fixer (see the Failure Recovery section above). Do not delete the worktree — the fixer needs the original branch state to diagnose the conflict.
  3. Record the incident by emitting a
    merge.aborted
    event with
    reason: "ancestry-rebase-conflict"
    and the failing branch's pre-rebase SHA so the convergence view captures the rollback.

Why no auto-rebase yet

Auto-rebase is deferred to issue #1119. Today the orchestrator stops at the ancestry preflight on purpose: a botched auto-rebase across diverged worktrees risks silently dropping subagent work, and the recovery path above is short enough that operator-driven rebase is preferable to clever-but-fragile automation.

Transition

After all tasks complete, auto-continue immediately (no user confirmation):
  1. Verify all
    tasks[].status === "complete"
    in workflow state
  2. Update state:
    exarchos_workflow set
    with
    phase: "review"
  3. Invoke:
    [Invoke the exarchos:review skill with args: <plan-path>]
This is NOT a human checkpoint — the workflow continues autonomously.

References

DocumentPurpose
references/implementer-prompt.md
Full prompt template for implementation tasks
references/fixer-prompt.md
Fix agent prompt with adversarial verification posture
references/worked-example.md
Complete delegation trace with recovery path (R1)
references/rationalization-refutation.md
Common rationalizations and counter-arguments (R2)
references/parallel-strategy.md
Parallel grouping and model selection
references/testing-patterns.md
Arrange/Act/Assert, naming, mocking conventions
references/pbt-patterns.md
Property-based testing patterns
references/fix-mode.md
Detailed fix-mode process
references/state-management.md
State patterns and benchmark labeling
references/troubleshooting.md
Common failure modes and resolutions
references/adaptive-orchestration.md
Adaptive team composition
references/workflow-steps.md
Cross-platform step-by-step delegation reference
references/worktree-enforcement.md
Worktree isolation rules