编码规范、框架、重构、代码审查（1.5万 个）
Investigate past agent runs using recorded tool results, commands, and file changes. Distinguish observed events from inferred causes, replay recorded decisions, or compare models from the same checkpoint to examine failures and alternative outcomes.
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Diagnose missing language features in Kode by checking LSP, the protocol connecting code tools to language servers. Update plugin configuration, confirm servers are recognized, and test an operation such as jumping to a definition.
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Guide an AI agent through feature development, bug fixes, and refactoring with clear requirements, explained design choices, and small, tested changes. Keep human decisions central while making progress and verification results visible.
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Build MCP servers, which connect AI agents to external services, using TypeScript or Python. Plan API access, design understandable tools and structured responses, implement authentication and error handling, and check behavior with the intended client.
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Configure Kode features by describing the changes you want. The skill inspects settings, adjusts status displays, response styles, and plugins, and verifies changes through settings checks and small practical operations.
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Review SKILL.md files and their supporting resources using eight quality dimensions. Get a score out of 120, evidence for each assessment, and prioritized suggestions to improve specialized knowledge, activation descriptions, organization, and practical instructions.
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Turn specialized knowledge and repeatable workflows into an Agent Skill. Work through concrete usage examples, write SKILL.md, organize reusable scripts and resources, and validate the package before producing a distributable .skill file.
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Find documentation and agent instructions made outdated by a branch’s code changes. Update affected paths, commands, settings, and behavior descriptions in place, then commit the documentation fixes alongside the code in the same pull request.
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Apply Kiln’s coding rules when editing or reviewing Python, TypeScript, and Svelte. The skill combines area-specific guidance with a script that checks changed lines, plus manual checks for architecture, configuration handling, shared state, and asynchronous operations.
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Prepare Kiln pull requests with clear explanations of the changes, checks, and merge dependencies. Preserve sections reserved for human decisions, keep descriptions current after updates, and handle review comments and automated check failures with user consent.
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Build and update Kiln screens using shared interface components and established styles. The skill guides component planning, comparison with reference screens, automated rule checks, and a review handoff containing evidence of consistency and any justified exceptions.
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Add AI models to Kiln or find available models missing from its list. The skill checks provider model identifiers and capabilities, updates model settings, runs tests against real APIs, and drafts a Discord announcement.
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Build and extend JavaScript or TypeScript apps with TinyBase, keeping active data in the app runtime. The skill guides project generation, UI connections, data storage, and synchronization, with checks for reloads, two-client updates, and reconnection.
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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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Build a disposable prototype to answer a specific design question. Use a shareable HTML demo to explore logic and state changes, or compare distinct UI variations on one route, then record the decision and retain the prototype separately.
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Set up the repository settings that engineering skills read: where work is tracked, which triage labels to use, and where domain documents belong. Review existing files and confirm drafts before writing configuration documents.
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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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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 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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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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Design modules that expose simple interfaces while hiding substantial behavior. Use shared terms and principles to assess interface complexity, decide where behavior can be swapped, and organize code so callers and tests use the same interface.
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Turn a specification and its linked tickets into code. Multiple agents work on available tasks in separate worktrees, combine changes on one integration branch, and complete a code review before preparing the result for review or closing tickets.
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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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