deep-research-temporal
Use when researching, investigating, or exploring a topic systematically via a durable Temporal-backed workflow. Trigger phrases include "deep-research temporal", "sagaflow research", "durable research", "temporal research". Spawns parallel researchers across WHO/WHAT/HOW/WHERE/WHEN/WHY/LIMITS plus cross-cut dimensions (PRIOR-FAILURE, BASELINE, ADJACENT-EFFORTS, STRATEGIC-TIMING, ACTUAL-USAGE). Fact-verification, novelty classification, vocabulary bootstrap for cold-start topics. Fire-and-forget while you do other work.
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deep-debug
Use when a bug, test failure, or unexpected behavior needs diagnosing — including production incidents, regressions, stack traces, mysterious failures, flaky tests, or any symptom needing root-cause analysis. Trigger phrases include "debug this", "why is this failing", "find the bug", "fix the bug", "root cause", "what's wrong with", "this is broken", "diagnose", "troubleshoot", "investigate this failure", "the test is failing", "this used to work", "why doesn't this work", "where's the bug". Adversarial hypothesis-driven debugging with parallel competing hypotheses across orthogonal dimensions, blind independent judging, discriminating probes that falsify leaders, TDD-gated fix loops, and mandatory architectural escalation after 3 failed attempts.
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deep-research
Use when researching, investigating, or exploring a topic systematically with orthogonal multi-dimensional coverage and source-quality tiers. Trigger phrases include "research this deeply", "deep research on", "investigate this topic thoroughly", "explore this topic", "systematic research", "multi-dimensional research", "comprehensive research", "cover all angles of", "thorough research on", "deep dive into (research)", "exhaustive research". Spawns parallel agents across WHO/WHAT/HOW/WHERE/WHEN/WHY/LIMITS with risk-stratified spot-checking. Bounded by a user-controlled round budget with honest coverage reporting on what was and wasn't covered.
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flaky-test-diagnoser
Systematically diagnoses why a test is flaky by running multi-run experiments, isolation tests, ordering permutations, and timing analysis. Use when the user says a test is flaky, intermittent, non-deterministic, randomly failing, passes sometimes, or asks to debug test flakiness.
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