编码规范、框架、重构、代码审查（1.6万 个）
Guide cleanup of redundant, unused, or low-quality code while preserving observable behavior. Classify problems, remove them in small passes, and compare before-and-after checks, with a separate review of drafted cleanup changes.
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Test one uncertain technical choice through a small, isolated experiment before planning. Record what actually happened with an API, interaction, performance question, or integration, then prepare a decision record and handoff for the next planning step.
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Explore an unfamiliar code repository and build a practical guide to its structure, reading order, terminology, risks, and unknowns. Use observed files to suggest low-risk starter tasks and the commands needed to verify them.
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Analyze failed builds and CI checks, including automated tests, using fresh logs. Group failures by likely cause, distinguish newly introduced issues from existing ones, and prepare a minimal repair handoff with ordered verification steps.
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Plan server, API, and data changes before implementation. Define who can access each operation, consistent response formats, error handling, and database migration steps, with compatibility plans for existing consumers and rollback points for storage changes.
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Review pull requests, code changes, or documented claims for bugs using concrete evidence. Receive prioritized findings, a separate assessment of whether requirements are met, and clear lists of checked areas, unanswered questions, and testing gaps.
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Create or improve agent skills by testing outputs, comparing results with and without the skill, and incorporating human feedback. It covers instruction files, supporting resources, activation descriptions, and registration in GoClaw.
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Turn reviewed wiki knowledge into a reusable Agent Skill package with SKILL.md, supporting references, and source records. Output goes to a review directory so a person can inspect it before choosing to install it.
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Turn recurring tasks into reusable agent skills, or improve skills you already have. Draft instructions, compare test outputs with and without a skill, review quality and resource use, and refine descriptions so skills trigger for appropriate requests.
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Explore an unfamiliar codebase before editing it. Produce a ranked map of important files, functions, callers, and dependencies, with source locations and evidence types to guide code reading and assess the likely impact of changes.
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Design Go services with dependency injection: passing required components in from outside. Compare manual wiring with DI libraries, generate setup code, and plan changes to tightly coupled services so their dependencies and lifecycle are explicit.
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Organize Go application dependencies with samber/do v2, a library that supplies services to the code that needs them. Guides service registration, lifecycle management, module organization, and migration from manually wired constructors.
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Build Go services with uber-go/fx by connecting components and managing startup and shutdown. This skill covers dependency injection, which supplies components with what they need, plus reusable modules, signal handling, logging, and tests with substitute dependencies.
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Review Go code for accidental crashes and silent data corruption. This skill guides safer handling of nil values, shared slice storage, numeric conversions, resource cleanup, and types that work safely without explicit initialization.
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Review older Go code and plan updates to language features, standard libraries, tests, and CI. The skill checks the project's Go version, prioritizes safety and correctness, and guides changes with linting and tests.
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Build GraphQL APIs in Go with gqlgen or graphql-go. Covers schemas, resolvers that fetch field data, authentication, and live subscriptions, plus request-level data batching and query limits to address excessive database calls and resource use.
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Create and review Go API documentation with swaggo/swag. Adds comments describing inputs, responses, and authentication, generates machine-readable API specifications, and connects Swagger UI so API users can inspect the documented endpoints.
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Build Go application initialization with google/wire, which generates constructor calls from declared dependencies. Covers reusable provider groups, interface bindings, cleanup functions, and keeping generated code synchronized so missing dependencies surface during generation.
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Implement layered configuration in Go with spf13/viper, combining command flags, environment variables, and configuration files under a fixed priority order. Covers mapping values into structs, reloading changed files, and keeping configuration state separate across tests.
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Helps implement structured error handling in Go with samber/oops. Add diagnostic attributes, stack traces showing the call path, and error codes, while keeping user-facing messages separate from technical details and integrating errors with logging.
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Implement Go collection transformations with samber/lo, including filtering, grouping, aggregation, and deduplication. Choose between standard library functions and helpers, and assess parallel processing, input mutation, or lazy evaluation when data size and measured performance justify them.
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Measure Go performance by writing benchmarks, examining CPU and memory profiles, and comparing repeated runs with benchstat. Use the results to assess code changes, detect slowdowns in CI, and investigate production performance.
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Build Go pipelines with samber/ro for events that arrive over time. Choose how consumers share data, combine multiple sources, and handle retries, timeouts, errors, and cancellation while managing the resources used by ongoing streams.
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Selects and loads relevant Go skills for coding, review, debugging, and setup tasks. It combines complementary guidance, explains overlapping skill roles, and can configure project agent instructions to load Go skills consistently.
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