38 个（vinvcn 的仓库） · 按人气排序
Examine a plan, decision, or idea through rounds of questions with recommended answers. Each response reveals the next decisions to discuss, helping clarify assumptions and build a shared understanding before taking action.
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Set up dependency-cruiser in a TypeScript repository to enforce package boundaries: outside code uses public entry files while implementation stays in subfolders. Add checks, a starter package, and documentation, then verify that forbidden imports fail.
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Refine a plan or design through an ongoing interview while creating documentation. The skill combines grilling and domain-modeling to produce architectural decision records, which capture design decisions, and a glossary of relevant terms.
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Review a coding session to identify improvements to the agent’s working environment. Get prioritized suggestions for finding files, strengthening automated checks, clarifying guidance, reducing costly tool calls, and accessing missing information.
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Create a Markdown questionnaire for someone who has information you need. Clarify the recipient and required decisions, then produce prioritized questions with context and answer spaces for asynchronous replies or a meeting.
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Turn recurring activities into workflow specifications through a focused interview. The skill clarifies triggers, human review points, and working terminology, recording enough detail for an implementing agent to build the workflow without further questions.
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Shape Markdown notes, fragments, or transcripts into a separate article through a collaborative drafting session. Choose an opening, establish what readers already know, and develop each paragraph or block in an order that introduces concepts before relying on them.
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Refine a plan or design through an interview built around repeated follow-up questions. Use it to discuss an idea with an agent and work through further questions as you develop the proposal.
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Clarify project terminology and the relationships between business concepts. Check definitions against concrete scenarios and code, update GLOSSARY.md as terms are agreed, and record significant design decisions with their trade-offs when the stated criteria are met.
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Turn an existing conversation and codebase context into a feature specification. Organize user needs, implementation decisions, testing plans, and scope, then publish the specification to the project’s issue tracker with a label marking it ready for agent work.
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Review a codebase for design friction and compare refactoring candidates in an HTML report with before-and-after diagrams. Then explore a chosen candidate through questions about constraints, module design, and testing.
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Diagnose difficult bugs and performance regressions by first building a repeatable check for the exact symptom. Minimize the reproduction, test ranked hypotheses, apply a fix, and verify the original scenario with regression tests where suitable.
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Set up checks that run before each commit using Husky, lint-staged, and Prettier. Format staged files, run existing type-check and test scripts, then verify and commit the configuration.
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Set up Claude Code hooks that block specified Git commands before they run, including push and destructive cleanup operations. Choose project or global installation, adjust the blocked commands, and test that the hook rejects a sample command.
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Find the right skill and sequence for your current development task, from shaping an idea to implementation, debugging, and review. The guide also explains when to prototype, prepare specifications, or move work into a fresh session.
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Review issues and external pull requests, classify them, verify their claims, and assign a handling state. The skill checks existing implementations and past rejections, requests missing details, and prepares briefs that agents or human maintainers can act on.
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Review changes from a chosen Git reference against both project coding standards and issue or specification requirements. Separate parallel reviews report rule violations, possible design problems, missing requirements, and changes beyond the intended scope.
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Research a question using original sources such as official documentation, source code, and specifications. A background agent records findings with sources for each claim and saves a Markdown note following the repository’s existing conventions.
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Turn a course plan into numbered exercise folders with starter readmes for problems, solutions, and explanations. Check the structure with the specified lint command, fix errors, and handle exercise moves or renaming while preserving Git history.
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Summarize the current conversation into a handoff document so another agent can continue the work. Reference existing artifacts, suggest skills for the next session, remove sensitive information, and save the document in the operating system’s temporary directory.
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Summarize the current conversation and launch a fresh background agent to continue the work. The handoff includes references to existing artifacts and suggested skills, removes sensitive information, and can emphasize the next session’s intended focus.
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Write and revise documents that guide AI agents, including skills and AGENTS.md files. Organize steps, define checkable completion criteria, and clarify when to load references so agents can follow a consistent process across different tasks.
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Turn a large, unclear idea into a shared map of decisions in an issue tracker. Record answers, dependencies, and unresolved questions across sessions until the route to a defined goal is clear enough to hand off.
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Build features or fix bugs by writing one failing test, then the minimum code needed to pass it. Test agreed public interfaces, the boundaries callers use, to check behavior without depending on internal implementation details.
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