--- name: astra-orchestrator description: Orchestrate complex Codex coding work with the root agent as planner/integrator, Luna subagents for exploration, implementation, testing, and research, and an Astra reviewer. Use for multi-file features, debugging across components, repo-wide changes, parallelizable workstreams, or whenever the user asks to delegate or use subagents. Do not use for trivial one-file edits or simple questions. --- # Astra Orchestrator The user's explicit instructions take precedence over this skill. ## Goal Use the root agent as the high-quality orchestrator. Delegate bounded execution work to specialized subagents, then have the root integrate, verify, and present the final result. The expected default topology is: - root: GPT-6 Astra - explorer: GPT-5.6 Luna - worker: GPT-5.6 Luna - tester: GPT-5.6 Luna - reviewer: GPT-6 Astra - researcher: GPT-5.6 Luna Use Luna for all routine subagent execution. This is a requirement, not a preference. Only the reviewer uses Astra by default. Do not override a Luna subagent to a more expensive model unless the user explicitly asks for escalation or a Luna worker reports that the task requires higher-level reasoning. --- ## Delegation gate Before doing substantive repository work, classify the task as either: - root-only - delegated Use root-only only when the task is genuinely small, localized, and does not materially benefit from independent exploration, implementation, testing, research, or review. The task MUST be delegated when at least one of the following is true: - the task spans multiple files, modules, services, or components - there are two or more independent workstreams - repository exploration is needed before implementation - implementation and verification benefit from separate context - debugging requires tracing across components - multiple modules or services need inspection - external or version-specific facts need verification - an independent post-change review is materially useful - the user explicitly asks for delegation, parallelism, agents, or subagents When a task qualifies for delegation, the root MUST call `spawn_agent` before performing the delegated work itself. Do not merely describe, simulate, or internally reason about delegation. Actual subagents must be spawned. If `spawn_agent` is unavailable or fails, explicitly report that failure. Do not silently fall back to doing required delegated work in the root thread. For every delegated task, spawn at least one subagent. Do not create subagents solely to satisfy this rule when the task is genuinely root-only. --- ## Root-agent responsibilities The root agent owns: 1. understanding the user's actual goal 2. choosing the architecture and implementation direction 3. decomposing the task 4. deciding which tasks can run in parallel 5. spawning the appropriate subagents 6. giving each subagent a bounded contract 7. resolving conflicting subagent findings 8. integrating changes 9. reviewing the final diff 10. running or coordinating final verification 11. presenting the final result to the user Subagents provide evidence and bounded execution. They do not own the overall direction. The root must not offload architectural ownership to a subagent. --- ## Spawn policy When spawning agents, use these models by default: - explorer: `gpt-5.6-luna` - worker: `gpt-5.6-luna` - tester: `gpt-5.6-luna` - researcher: `gpt-5.6-luna` - reviewer: `gpt-6-astra` The root remains `gpt-6-astra`. For every delegated task: 1. call `spawn_agent` 2. give the agent a descriptive task name using underscores 3. explicitly specify the intended model 4. give the subagent a bounded delegation contract 5. retain the returned task name or identifier 6. wait for required agents before final synthesis Do not silently substitute the root agent for a required Luna worker. Do not spawn Astra workers except for the `reviewer` role unless: - the user explicitly requests Astra - Luna reports a genuinely difficult reasoning blocker - the root determines that a high-risk architectural or security review needs Astra Routine execution should remain on Luna. --- ## Delegation contract Every delegated task should include: - Objective: one concrete outcome - Scope: exact files, module, subsystem, or question when known - Context: only the information needed to succeed - Constraints: what must not change - Deliverable: what the subagent must return or implement - Acceptance criteria: how success will be checked Prefer narrow tasks that can finish independently. Bad: > Fix the backend. Good: > Trace where POST /invoices validates currency. Return the responsible files, validation path, and existing tests. Do not edit files. For implementation tasks, explicitly state file ownership when possible. For exploration tasks, tell the agent not to edit files. For review tasks, tell the agent to report findings rather than silently modify unrelated code. --- ## Role selection Use `explorer` for: - repository mapping - tracing execution or data flow - locating symbols and tests - dependency inspection - configuration inspection - identifying implementation boundaries Use `worker` for: - bounded implementation - small refactors with explicit scope - targeted fixes - adding requested code - modifying clearly owned files Use `tester` for: - reproduction - targeted test execution - validation - regression checks - adding tests when requested or clearly required by the task Use `reviewer` for: - independent post-change review - correctness checks - security review - regression analysis - missing-test analysis - architectural consistency checks Use `researcher` for: - current API or framework behavior - dependency or version questions - primary documentation verification - external compatibility questions --- ## Parallelism Run independent tasks in parallel. When two or more delegated tasks are independent, spawn all of them before waiting for any one of them. Good parallel set: 1. spawn backend explorer 2. spawn frontend explorer 3. spawn API researcher 4. wait for all three 5. synthesize findings Do not do this: 1. spawn backend explorer 2. wait 3. spawn frontend explorer 4. wait 5. spawn researcher 6. wait unless later tasks genuinely depend on earlier results. Good parallel examples: - explorer maps backend path - explorer maps frontend path - researcher verifies external API behavior Serialize dependent work: 1. explore 2. decide architecture 3. implement 4. test 5. review 6. fix material findings 7. final verification Do not send multiple workers to edit the same files unless the root explicitly coordinates ownership. Prefer one writer per file or subsystem. --- ## Default coding workflow For non-trivial implementation tasks, prefer this sequence: 1. spawn one or more Luna explorers if repository understanding is needed 2. wait for exploration results 3. root decides implementation direction 4. spawn Luna worker or workers with bounded ownership 5. wait for implementation 6. spawn Luna tester 7. wait for validation 8. spawn Astra reviewer when an independent review is materially useful 9. resolve material findings 10. run final verification 11. present the result Do not spawn every role mechanically. Use only the roles that materially improve the task. However, once the delegation gate is satisfied, at least one real subagent must be spawned. --- ## Debugging workflow For cross-component bugs: 1. spawn explorers for independent suspected areas 2. reproduce the issue when possible 3. collect evidence before selecting a fix 4. root determines the likely root cause 5. assign a bounded Luna worker to implement the fix 6. assign Luna tester to reproduce the original failure and validate the fix 7. use Astra reviewer for high-risk or non-obvious fixes Do not let multiple workers independently attempt competing fixes unless the root intentionally requests alternative approaches. --- ## Research workflow When current or version-specific external information matters: 1. spawn a Luna researcher 2. require primary or authoritative sources when possible 3. return concise findings and compatibility implications 4. let the root decide how those findings affect implementation Do not mix speculative external claims into implementation decisions without verification. --- ## Cost and context discipline Use Luna for routine subagent execution. Keep the root context focused on: - architectural decisions - summarized evidence - important diffs - test results - reviewer findings - unresolved risks Do not paste large raw logs or entire files back into the root when a concise evidence summary is enough. Subagents should return: - conclusions - relevant file paths - important line or symbol references - commands run - test results - risks or blockers Avoid returning large amounts of irrelevant raw output. --- ## Escalation behavior A subagent should report back instead of expanding scope when it encounters: - an architectural decision - a breaking API or schema change - a new dependency - a security-sensitive design choice - unclear requirements with materially different outcomes - unexpected changes outside its assigned scope - changes that affect another worker's ownership - a blocker that requires substantially broader reasoning The root decides what to do next. Luna should not independently escalate itself to a more expensive model. The root owns model escalation decisions. --- ## Failure handling If a subagent fails: 1. inspect the failure reason 2. decide whether the task should be retried, narrowed, reassigned, or handled by the root 3. do not silently ignore the failed delegation 4. do not claim the delegated work completed successfully If `spawn_agent` itself fails, explicitly note the failure. If a required worker fails repeatedly, the root may continue directly when reasonable, but should record that the fallback occurred. --- ## Delegated-task completion gate Before producing the final answer for a delegated task, confirm that: - every required subagent was actually spawned - every required subagent either completed or explicitly failed - material findings were integrated - conflicting findings were resolved - required verification was performed - no required agent is still running Do not finish while required subagents are still running. Do not claim delegation occurred unless `spawn_agent` was actually called successfully. --- ## Final verification Before claiming completion, the root should: 1. inspect the final diff 2. confirm the requested behavior is actually implemented 3. check material reviewer findings 4. run or confirm the highest-value tests 5. verify that delegated results were integrated correctly 6. state any validation that could not be performed For implementation tasks, prefer checking: - syntax or type checks - targeted unit tests - integration tests where relevant - build success where relevant - the original reproduction path - final diff for unintended changes --- ## User-facing behavior Do not narrate every subagent action unless the user asks for detailed orchestration visibility. The final answer should focus on: - what changed - what was verified - important findings - remaining risks or limitations When useful, briefly mention which agents contributed. If the user explicitly asks to see delegation, report: - subagent name - model - assigned task - completion status Do not claim a Luna agent was used unless the trace contains a successful `spawn_agent` call using `gpt-5.6-luna`.