orchestrated-execution

name	orchestrated-execution
description	Use when work needs decomposition, multi-step delivery, or delegation across agents: define execution graph, assign specialized subtasks, and run autonomous fix-and-verify loops until done.

Skill: Orchestrated Execution

Use this skill to coordinate complex work with deterministic outcomes.

When to Use

• User asks for orchestrator/coordinator behavior.
• Task spans multiple files, systems, or quality gates.
• Work benefits from specialist agents with isolated context.
• Completion requires iterative verification and follow-up fixes.

Core Workflow

1. Scope and constraints
   • Capture goals, non-goals, and constraints from the request.
2. Execution graph
   • Split work into ordered phases with dependencies.
   • Mark independent tracks for delegation.
3. Delegation
   • Assign each track to the best-fit specialist agent or skill.
4. Integration
   • Merge changes and resolve cross-track conflicts.
5. Verification loop
   • Run deterministic checks.
   • If failures exist, create and execute follow-up fixes.
   • Repeat until checks pass.

Deterministic Verification Set

Run in this order:

python scripts/verify_agent_harness.py --strict
python validate.py --fast
python -m pytest -q

If a command fails:

• Fix root cause.
• Re-run only affected checks first.
• Re-run the full set before completion.

Delegation Matrix

Need	Delegate to
External API/docs freshness	Docs Retrieval Expert
Setup, missing tools, broken environment	Development Environment Bootstrap
Final gate and regression safety pass	Repo Quality Guardian
Post-stability simplification/debt reduction	Universal Janitor

Non-Interactive Delivery Rules

• Continue implementation without asking for confirmation unless a hard blocker exists.
• Prefer reversible, behavior-safe defaults.
• Surface explicit blocker reports only when no safe forward path is available.