Trace what an actual code change could break beyond its diff when interfaces, serialized data, database schemas, configuration, caches, lifecycle ordering, or cross-language consumers are involved. Use for explicit impact analysis; not local renames, prose edits, ordinary dependency bumps, or generic architecture discussion.
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Follow the changed behavior beyond symbol callers. Read the actual diff and reuse existing searches, tests, fixtures, and runtime checks before adding any. Analysis alone authorizes no edits, production probes, delegation, or publication.
Finish with changed behavior, critical safety facts, confirmed risks, ruled-out cases, and unproved gaps with their next check. Stop when each applicable boundary and safety fact has evidence or an explicit unresolved disposition.
Adapted from Lauren Tan's pstack blast-radius, under the MIT license.
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Read public X/Twitter post URLs as structured evidence through the ADHX API. Use for relevant user-provided or research-discovered x.com, twitter.com, or adhx.com links. ADHX does not search X, and long-form Article content may be incomplete.
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Design, review, or report a measured performance comparison. Use for benchmark methodology, speedup or regression claims, and performance-based choices; not generic performance discussion, ordinary dependency bumps, local renames, or prose edits.
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Shared vocabulary for designing deep modules, interfaces, seams, adapters, leverage, and locality. Use when designing or reshaping module boundaries, making code more testable, or evaluating interface depth.
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Plan or implement retirement of a system, API, feature, persisted configuration, or database shape. Use for compatibility cutovers, explicit deprecation review, or an explicit unreleased replacement decision, including determining whether consumers or data exist; not ordinary dependency bumps, local renames, prose edits, or generic architecture discussion.
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Disciplined diagnosis loop for hard bugs, regressions, flaky failures, and performance problems with unclear cause. Use for root-cause debugging after a concrete symptom exists; do not use for routine implementation or speculative cleanup.
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Route requests for current library, framework, SDK, API, CLI, or cloud-service documentation through available documentation tools and primary sources.
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