编码规范、框架、重构、代码审查（1.8万 个）
Helps agents choose the right agentmemory tool through MCP, a protocol for connecting agents to tools. It explains tool roles and points to parameter references for saving, retrieving, organizing, and maintaining stored knowledge.
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Connect agentmemory to coding agents such as Claude Code and Codex while preserving existing server settings. It guides configuration, host restarts, and checks that memory tools are available and can save and retrieve information.
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Clean up local Git branches and remote connections left after pull request reviews. The workflow checks unfinished work, preserves main and the current branch, and requests confirmation before force-deleting branches that have not been merged.
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Evaluate a proposed software change before implementation. It examines project files and official sources, compares options and trade-offs, and builds a concrete plan covering affected systems, effort, risks, and unresolved questions for the user's approval.
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Update a project's changelog using GitHub releases, git history, and code differences. Select changes that matter to users, match the existing format, and write concise entries for the requested release.
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Submit existing local changes as a pull request by reviewing the diff, running project checks, preparing a branch and commit, and pushing to GitHub. It follows contribution rules and preserves template declarations that require human verification.
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Review and test a pushed Factory branch before a pull or merge request is opened. Record findings against the exact tested commit, then approve the work or return it to the builder with actionable changes.
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Investigate a GitHub issue or bug report by tracing code, checking relevant history, and testing the diagnosis where needed. Receive a concise verdict, supporting evidence, a proposed fix direction, and a record for follow-up questions.
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Review a pull request by first forming an independent view of the problem and design. Investigate code, history, and evidence, then deliver a clear verdict, specific change requests, and a saved record for follow-up questions.
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Build and update Mastra application interfaces using existing components from @mastra/playground-ui. Follow shared visual styles, arrange layouts with Tailwind utilities, and connect themes and stylesheets while avoiding duplicated components or unsupported appearance overrides.
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Write, review, or refactor React code using prioritized guidance for data fetching, bundle size, rendering, component structure, testing, and type safety. Start with high-impact issues such as sequential requests and unnecessary library loading.
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Review a GitLab merge request linked to a Factory work item, verify the current commit, and publish findings with a test report. It records the review verdict on the card and prepares a session handoff without merging.
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Turn pull request changes, commits, and test evidence into a self-contained HTML guide. Explain the problem, system context, before-and-after behavior, and key code changes so reviewers know where to focus.
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Coordinate multiple Mastra Code workers to investigate and fix GitHub issues in parallel. Keep each issue in a separate working directory, track progress in reports, review changes, and manage pull requests, reviewer feedback, and automated checks.
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Review open Mastra GitHub issues and trace reported defects to source code. Apply the @mastra/core label to confirmed core bugs, report uncertain ownership, and summarize whether fixes are active, stale, or unclaimed.
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Re-review a pull request after new commits arrive. Check every previous finding, inspect the new changes for regressions, and review the full current change. Run relevant verification and publish a test report and review verdict within Factory.
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Triage a GitHub issue by reviewing its discussion, related issues, and fixing pull requests. Publish a concise comment with classification, severity, evidence, and the next action, then update a small set of triage labels.
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Draft and post GitHub pull request reviews and issue comments with precise locations, required changes, and supporting reasons. It checks the posting account, applies approval rules, and selects the appropriate review outcome.
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Split a large pull request into smaller, reviewable changes. Plan branch dependencies, extract related code, verify each part, and track review changes while preserving the intent of the original work.
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Review code for performance bottlenecks across database queries, memory use, frontend rendering, network requests, and algorithms. Use a structured checklist to identify optimization opportunities and classify their severity according to expected load and scale.
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Configure Factory board behavior and GitHub or Linear event handlers in deployment code. Adjust stage transitions, phase meanings, and tool-result handling, then check the changes with focused tests and versioned audit records.
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Review a pull request in a Factory work session by investigating its purpose, history, implementation, tests, and security. Publish verification results and a review verdict, then record the outcome on the work card.
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Design instructions for agents that write, fix, review, or refactor code. Define behavior based on file access, select suitable tools, and set clear verification and completion rules for repository changes or copyable code output.
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Turn a development goal into a focused ralph-loop command through conversation and codebase research. Define context, setup steps, ordered tasks, and testing criteria, then produce a complete command ready to copy.
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