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.
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.
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.
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.
Create short HTML lessons and interactive practice tailored to learning goals and prior progress. Keep learning records, trusted resources, and quick reference materials so study can continue across sessions with exercises designed for long-term retention.
Ask an agent to restate an unclear message with more background, using the conversation's language and the project's glossary. It applies simplified technical writing guidance to help explain how the discussion reached its current point.
Translate English skill documentation into Simplified Chinese while preserving commands, code, paths, and identifiers. Follow a shared glossary, refresh changed content, and review document structure and public indexes to keep the localized edition consistent.
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.
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.
Implement work described in a specification or set of tickets, using test-first development where agreed. Run type checks and tests throughout, review the completed changes, and commit the work to the current branch.
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.
Create an interactive bash script that guides people through manual setup or migration tasks. It opens relevant pages, explains each action, collects values, and saves settings to .env files or GitHub secrets with confirmation steps.
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.
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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