con un clic
execution
// Phase execution methodology for orchestration workflows with error handling and completion protocols
// Phase execution methodology for orchestration workflows with error handling and completion protocols
Agent delegation best practices for constructing effective subagent prompts with proper scoping
Guides structured design conversations for complex engineering tasks
Generates detailed implementation plans from finalized designs
Manages orchestration session state, tracking, and resumption
Run the Maestro debugging workflow for investigation-heavy tasks
Resume an interrupted Maestro session using the existing active-session file and shared phase tracking
| name | execution |
| description | Phase execution methodology for orchestration workflows with error handling and completion protocols |
Activate this skill during Phase 3 (Execution) of Maestro orchestration. This skill defines how Maestro executes implementation phases through native subagent delegation.
If workflow_mode is express in the current session, STOP HERE. Do not proceed
to the execution mode gate. Do not prompt the user. Do not resolve execution mode.
Express always dispatches sequentially. Return to the Express Workflow and continue
from the delegation step.
Read MAESTRO_EXECUTION_MODE (default: ask).
parallel: call update_session with { execution_mode: 'parallel', execution_backend: 'native' } to record in session state. Skip to delegation.sequential: call update_session with { execution_mode: 'sequential', execution_backend: 'native' } to record in session state. Skip to delegation.ask: proceed to Step 2.Before prompting the user, analyze the approved plan to generate a recommendation:
Count total phases in the plan
Count phases marked parallel: true (parallelizable phases)
Count distinct parallel batches (groups of parallelizable phases at the same dependency depth)
Count sequential-only phases (phases with blocked_by dependencies that prevent parallelization)
Cross-check file ownership across all phases. If any two phases share a file in their files arrays, those phases CANNOT be parallel-eligible — subtract them from the parallelizable count. Report each overlap as an Overlapping-file Warning in the prompt.
If validate_plan was called during planning and returned a parallelization_profile, use its parallel_eligible and effective_batches counts as the authoritative source for items 1-5 above. These are computed from actual dependency depths and override any manual flag-based counts. If parallelization_profile is not available, use the counts from items 1-5 as-is.
Record these counts — they feed into the prompt.
update_session with { execution_mode: 'sequential', execution_backend: 'native' }. Inform the user: "All phases are sequential — no parallel batches available." Skip to delegation. Do NOT prompt with a choice. Do NOT call ask_user. Do NOT present options. (Parallelism requires at least 2 phases at the same dependency depth; a single parallel-eligible phase has nothing to batch with.)When parallelizable phases ≤ 1, there is NO choice to make. Auto-select sequential and skip directly to delegation. Do not show a picker.
ask_user options list with "(Recommended)" appended to its label. The non-recommended option MUST NOT include "(Recommended)" in its label.Call ask_user with type: 'choice' using exactly one of these option sets:
When recommending parallel: options: - label: "Parallel (Recommended)" description: "Spawn child agents for each ready batch where file ownership does not overlap." - label: "Sequential (High Precision)" description: "Spawn one child agent at a time in dependency order."
When recommending sequential: options: - label: "Sequential (Recommended)" description: "Spawn one child agent at a time in dependency order." - label: "Parallel" description: "Spawn child agents for each ready batch where file ownership does not overlap."
WRONG — Both options labeled "(Recommended)": options: - label: "Parallel (Recommended)" - label: "Sequential (High Precision) (Recommended)"Only ONE option receives the "(Recommended)" suffix. Never both.
Prompt the user for a choice using the user-prompt tool from runtime context. Replace [N], [M], and [B] with actual counts from Step 2. The prompt should convey the execution mode analysis and offer two options as described above.
update_session with the selected execution_mode and execution_backend: nativeparallel is selected and a ready batch has only one phase, execute it sequentiallysequential is selected, preserve plan order even when phases are parallel-safeIf execution_mode is not present in session state at the point where delegation is about to begin, STOP. Do not default to sequential. Return to this gate and resolve it. This catches any edge case where the gate was skipped.
When MCP state tools (get_session_status, update_session, transition_phase) are available, prefer them for state operations. They provide structured I/O and atomic transitions.
When MCP tools are not available, state lives inside <MAESTRO_STATE_DIR> and is accessible through read_file and write_file.
Helper scripts remain available for shell-injected command prompts:
node <runtime-script-root>/read-state.js <relative-path>
node <runtime-script-root>/read-active-session.js
Hooks fire automatically at agent boundaries. The orchestrator does not invoke them directly.
The hooks system tracks which agent is currently executing. Before each agent dispatch, a hook resolves the active agent identity from the required Agent: header first, then falls back to legacy env/regex detection, and injects compact session context. After completion, a hook validates that the response contains both Task Report and Downstream Context; it requests one retry on the first malformed response.
The hook state directory under ${MAESTRO_HOOKS_DIR:-<os.tmpdir()>/maestro-hooks-<uid>}/<session-id>/ is transient and separate from orchestration state.
For a sequential phase:
blocked_by dependencies are completedin_progresscurrent_phasecurrent_batch: nullget_runtime_context) before delegationcompleted or failedUse native parallel execution only for sibling phases at the same dependency depth with non-overlapping file ownership.
MAESTRO_MAX_CONCURRENTin_progresscurrent_batch in session state for that chunkMAESTRO_MAX_CONCURRENT=0 means emit the entire ready batch in one turnask_user remains available; a batch may pause while waiting for user inputin_progress phases on resume instead of attempting to restore in-flight subagent interactionsInclude the following in every delegation query body:
Progress: Phase [N] of [M]: [Phase Name]
Session: [session_id]
For native parallel batches, also include the batch identifier in the required header:
Agent: <agent_name>
Phase: <id>/<total>
Batch: <batch_id>
Session: <session_id>
Record all errors in session state with:
agenttimestamptypemessageresolutionMAESTRO_MAX_RETRIES (default 2)failed and escalate to the userIncrement retry_count on each retry.
When a subagent terminates early, times out, returns malformed output, or when delegation.constraints.result_surface is deferred and the agent's text cannot be retrieved:
wait_agent equivalent) with a bounded timeout. For synchronous runtimes, the initial dispatch return IS the result.scan_phase_changes(session_id, phase_id). If the returned candidates.created or candidates.modified arrays are non-empty, the agent produced filesystem output without a handoff.planned_files from each phase's session state to assist attribution. If the scan surfaces files beyond any phase's planned_files, raise a blocker and surface the ambiguity to the user rather than silently attributing.reconcile_phase(session_id, phase_id, files_created, files_modified, files_deleted, downstream_context, reason) with the user-confirmed manifest. This clears requires_reconciliation.Record all recovery events in session state with {agent, timestamp, type: 'recovery', resolution: 'retry'|'reconciled'|'aborted'}.
When a subagent reports a file conflict:
Native subagent results are wrapped. Do not assume the handoff begins at byte 0.
## Task Report (or # Task Report) inside the returned text## Downstream Context (or # Downstream Context) inside the returned textAfter processing each handoff:
downstream_contextcompletedupdatedcurrent_batch as each chunk finishesWhen all phases are completed:
failed or pending phasessession-management