编码规范、框架、重构、代码审查（1.6万 个）
Investigate unexpected LoopX behavior, such as stalled progress or conflicting next steps. Identify whether agent decisions, state reporting, or workflow rules caused the problem, then repair, validate, and record the correction.
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Track multiple pull requests or merge requests across repositories with LoopX. Reconcile meaningful status changes, preserve requirement priorities and dependencies, and maintain a roadmap with one shared monitor for the whole delivery program.
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Decide whether a LoopX pull request is ready for approval or merge by checking review evidence for the current commit, required validation, and owner authorization. Record the decision and its supporting checks on the pull request.
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Review pull requests at a specific commit using existing discussions, review plans, and executed checks. Produce a detailed Chinese review and a concise English verdict, then publish and read back the result to confirm its contents.
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Plan substantial DeepChat changes with a written design proposal and a clear implementation path. Record decisions, track progress, review the completed change, and select focused validation for features, complex bugs, or architecture updates.
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Review code for readability, maintainability, security, and performance. Receive an overview, issues grouped by severity, concrete improvements with code examples, and positive feedback on parts of the implementation that work well.
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Build MCP servers, which let AI agents use external APIs and services through tools. The skill guides tool design, authentication, input validation, implementation, testing, and evaluation using TypeScript or Python.
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Build third-party tools to inspect, extract, migrate, or analyze DeepChat's local settings and conversations. Work through data locations, database encryption, and table relationships while favoring read-only copies and redacted output.
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Add an LLM provider to DeepChat by choosing a suitable API connection method, updating authentication and model configuration, and making focused source changes with tests for the affected behavior.
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Create or update Claude skills that capture specialized knowledge and repeatable workflows. Guides the organization of instructions, scripts, references, and templates, then covers initialization, validation, and packaging into a distributable skill file.
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Review Git changes and draft commit messages using Conventional Commits, a format that labels the type and scope of a change. Produce concise subjects, explanatory bodies, and issue or breaking change references when needed.
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Review SwiftUI projects for outdated APIs, data flow, layout, accessibility, and performance issues. Get findings organized by file, with brief before-and-after code examples and a prioritized summary of the changes that matter most.
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Migrate Java projects from FastExcel 1.3 to Apache Fesod by updating Maven or Gradle dependencies, package imports, and entry class calls. Handles both legacy package namespaces and identifies conditional helper class changes.
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Get started with Ouroboros through an interactive introduction that checks setup readiness and asks about your goals. Learn the core commands, then move into a project interview, a tutorial, or the help reference.
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Start and monitor an Ouroboros development loop that revises project concepts and acceptance criteria, the conditions for judging completion. Run and evaluate successive generations, focus revisions on failed criteria, inspect progress, or rewind to an earlier generation.
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Execute an existing Ouroboros Seed, a specification containing a goal and acceptance criteria, as a background job. The workflow checks each criterion, normally queues formal evaluation, and follows a bounded improvement loop if evaluation rejects the result.
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Register and search existing Git repositories and worktrees, then choose which projects Ouroboros interviews use as context. You can also generate a configuration containing verified build, test, and other check commands for the evaluation workflow.
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Convert agreed goals, constraints, and success criteria into a Seed specification an agent can execute and verify. A quality review checks consistency and testable outcomes, with any suggested refinements left for the user to approve.
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Turn a multi-file development task or technology migration into a specification with acceptance criteria, then launch background implementation and verification. The workflow clarifies missing requirements, reviews the specification, and tracks progress and blockers through linked jobs.
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Set up Ouroboros inside Claude Code with a guided wizard. Check runtime requirements, configure the Claude runtime, optionally add project instructions to CLAUDE.md, and register existing repositories as context for future interviews.
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Run repeated Ouroboros execution and improvement cycles as a background job, starting from a Seed specification or continuing an existing lineage. The loop stops on a quality check pass, convergence, cancellation, or the generation limit, and reports the outcome.
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Work through repeated failed fixes or difficult technical choices using five perspectives: practical action, missing information, simplification, architecture, and challenged assumptions. Compare alternatives and disagreements, then receive a recommendation while keeping the final decision with the user.
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Turn a vague development idea into clear goals, constraints, and acceptance criteria through a guided interview. It checks unresolved decisions and confirms the agreed goal before moving toward a Seed, the requirements document used by Ouroboros.
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Check an Ouroboros execution session’s status and progress, and optionally compare its current output with the original Seed specification. The drift report explains goal deviations and suggests whether to continue, evaluate, or reconsider the direction.
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