编码规范、框架、重构、代码审查（1.7万 个）
Use the shared design system when building or styling the React dashboard and Docusaurus website. It explains theme tokens, reusable components, page patterns, accessibility, and visual checks so frontend changes stay consistent across light and dark modes.
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Implement Go features from a spec or plain-language request using a test-first workflow. It guides you through identifying affected files, writing integration tests, following project patterns, and verifying the result in the devcontainer.
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Run Skillshare CLI commands, Go tests, debugging, and the web dashboard inside the Linux devcontainer. The workflow keeps verification on the project's intended platform, supports isolated test homes, and picks up source edits without a manual rebuild.
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Get guidance on DataChain SDK APIs, method signatures, UDFs, and Python code patterns when no particular dataset or bucket is involved. It provides the rules needed to write pipeline code, including saving and exporting data.
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Use the `openenv` command-line tool to scaffold a new OpenEnv environment, validate a project, build it, and push it. The skill gives the basic commands and points to help for options specific to each command.
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Clean up code after tests pass by simplifying logic, removing dead code, and improving names while preserving behavior. Use it as the refactoring step in a test-driven workflow to make code easier to read and maintain without adding features.
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After `/write-tests` creates failing tests, inspect them to understand the requirements and add only the code needed to pass. Run tests as changes are made, and stop when the suite passes without adding unrelated features or refactoring.
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Turn a GitHub issue into a focused development workflow: extract its goal and acceptance criteria, create an isolated worktree, enable TDD checks, and begin writing tests for the first requirement.
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Monitor a pull request's CI checks and Greptile code review. The skill waits for results, helps address failures and actionable comments within set iteration limits, and reports whether the PR is ready for human review or still needs attention.
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Coordinate work on several GitHub issues in parallel, creating a separate worktree and enabling test-driven development for each. A lead agent tracks conflicts and orders the completed changes into stacked pull requests, with a setup-only fallback when Agent Teams are unavailable.
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Assess whether a proposed change needs an RFC, a document for discussing design decisions. Review changed files, public API changes, new patterns, and related RFCs, then report a verdict with reasoning and suggested topics to document.
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Check whether changes are ready for a pull request by reviewing branch freshness, lint, tests, debug code, project principles, RFC needs, and documentation. The result is a report of blockers, reviewer discussion points, and an overall readiness verdict.
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Turn a concrete use case into a new OpenEnv environment. The workflow researches the target library or API, selects relevant examples, settles key design choices, and builds typed models, client and server code, and the environment manifest.
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Review code changes for mechanical defects and alignment with OpenEnv principles and RFCs. It runs lint and debug checks, then reports immediate fixes separately from design concerns that need reviewer discussion, including conflicts with open RFCs.
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Use this skill to turn a TLA+ system model or an agreed Mermaid chart into a state diagram people can review. It labels states and transitions in reader-friendly terms, shows rule-breaking paths, and supports checking modeled bugs against code or refining a design before implementation.
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Coordinate a product change across the places that describe or consume the same fact, including code, documentation, and user-facing copy. Identify every affected surface, reduce duplicated information, and add checks or paired changes where systems share a format.
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Build and test Python MCP servers with FastMCP, which exposes tools to LLM clients. Design predictable errors, safely wrap command-line tools, keep blocking work from stalling requests, and avoid packaging and testing pitfalls.
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Plan Python library releases with semantic versioning and a structured changelog. The skill covers release automation with GitHub Actions, deprecation warnings, and steps for communicating breaking changes and checking a published release.
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Verify how an external library, API, build backend, or scraped page behaves before relying on it. Use quick probes against the exact call or service, inspect real requests and responses, validate fakes, and check that dry-run modes do not skip the failing step.
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Review ffmpeg-skill changes by tracing result claims to what the tools actually measured, checking contract and documentation coverage, tests, dependencies, and project boundaries. Findings include the affected file, concrete failure, and smallest useful fix.
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Use this skill to find secrets and development clutter in Git tracking, prevent them from being committed, and clean up files already present. It explains how ignore rules differ from untracking, when credentials need rotation, and how verification can create new artifacts.
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Resolve common conflicts when several branches change the same repository. The skill explains when to combine entries, recalculate shared values, or rebuild generated files, and how to check the merged result before pushing.
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Use this skill when multiple fixes based on the same assumption fail the same check. It guides the agent to write down and test that assumption, then use the evidence to decide whether to investigate another cause or address the root cause.
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Explore a codebase and explain how a feature or subsystem works, how runtime steps connect, and where code belongs. It creates a concise architectural walkthrough for onboarding or before making changes, using subagents for larger questions.
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