reviewing-technical-prose
Supports reviewing, rewriting, and editing technical documents, including producing review reports. Defines severity levels, findings formats, exclusions, and a final delivery checklist.
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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetSupports reviewing, rewriting, and editing technical documents, including producing review reports. Defines severity levels, findings formats, exclusions, and a final delivery checklist.
Guides framework and library upgrades that introduce major version changes. Covers compatibility analysis, staged rollout, comprehensive testing, and management of breaking changes.
Manage product.md, tech-stack.md, workflow.md, and tracks.md in a conductor/ directory. Scaffold projects, extract context from existing codebases, validate artifact consistency, and synchronize documentation as development progresses.
Creates PRDs covering the problem, objectives, customer segments, value propositions, solution, and release planning. Supports documenting product requirements, preparing feature specifications, and reviewing existing PRDs.
Supports reading, writing, and reviewing Swift concurrency code. Focuses on concurrency correctness, modern APIs, and common async/await mistakes.
Produces a one-page Huawei Cloud BSS billing briefing covering balances, spending attribution, reconciliation, coupons, stored-value cards, and enterprise or partner accounts. Excludes payments, renewals, refunds, deletion, pricing quotes, and non-billing tasks.
Provides structures for changelog entries, release notes, and work handovers. Uses honesty conventions to describe completed changes accurately.
Structures executable operational documentation for use under time pressure. Covers risk labels, symptom-first troubleshooting, migration mappings, rollback steps, deprecation dates, and guide expiry.
Offers best-practice guidance for xUnit unit testing, including data-driven tests.
Design asynchronous task processing, job queues, and long-running operations in Python. Covers workers and event-driven architecture for decoupling work from request/response cycles.
Provides formats for architecture decision records and decision log entries. Captures why choices were made, rejected, or superseded so the rationale persists beyond chat.
Guides writing and refining epics, stories, tasks, bug reports, spikes, and acceptance criteria. Provides issue definitions and templates intended to remain understandable without the author present.
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