2.3천건 · 관련도순
Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Code review: IoC, RESTful, Contracts, Security (OWASP), Clean Architecture, SOLID.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generates an Apple-compliant account deletion flow with multi-step confirmation UI, optional data export, configurable grace period, Keychain cleanup, and server-side deletion request. Use when user needs account deletion, right-to-delete, or Apple App Review compliance for account removal.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when you need to write or improve integration tests for Quarkus — including @QuarkusTest, Dev Services for automatic container provisioning, Testcontainers via QuarkusTestResourceLifecycleManager, WireMock for external HTTP stubs, @QuarkusIntegrationTest for black-box testing against packaged artifacts, REST Assured, data isolation strategies (@TestTransaction vs @BeforeEach cleanup), and Maven Surefire/Failsafe three-tier split (*Test, *IT, *AT). This should trigger for requests such as Add or improve integration tests in a Quarkus project; Configure Testcontainers or Dev Services for Quarkus tests; Add WireMock stubs for external HTTP dependencies in Quarkus integration tests; Set up @QuarkusIntegrationTest for packaged artifact or native binary testing; Fix test data isolation or configure Maven Surefire/Failsafe split. Part of cursor-rules-java project
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape. Activate on "find expungement data", "scrape state laws", "legal research", "court URLs", "statute sources", "Clean Slate laws", "automatic expungement research". NOT for interpreting laws (use national-expungement-expert), building UI, or legal advice.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generates RESTful API Controllers with proper routing, versioning, authorization, and MediatR integration. Follows REST conventions and Clean Architecture patterns.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Delete local git branches whose remotes are gone, after verifying via gh CLI that each was actually merged.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Refactor Python code to improve quality while keeping functionality intact. Use when cleaning up complexity, removing duplication, or tightening structure.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use before finishing a change, or when asked to clean up, review for slop, drift, stale docs, or duplicated rules — runs the deterministic unslop lint and, for prose-level slop, delegates to the unslop-reviewer agent.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when you need the current position in the Lean spec-driven pipeline, or any deterministic check of a Cradle project — status, golden regression, Lean layer walls, regeneration impact, unslop lint, ddd cleanup. Runs the scripts under scripts/ and reports their output verbatim.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
iOSアプリのSPMパッケージ構成・レイヤー依存関係・設計原則を定義。iOS機能実装・コードレビュー時に参照。no problem製SPMパッケージの使用指針を含む。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Natural, identity-preserving portrait retouching with a local CLI and a Busabase-backed review app. Use when the user asks to 美颜, 修人像, 磨皮, 提亮肤色, portrait retouch, headshot cleanup, profile-photo polish, before/after comparison, or batch portrait enhancement. Default to local non-destructive processing, preserve facial structure and skin texture, and require explicit approval before replacing or publishing any image.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Execute a single deterministic Python script to harmonize units, create/update metadata, move files to output_data/, and clean up input_data/.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extracts the WACC, assumptions, and DCF projections from the markdown metadata file and converts them into a clean, structured JSON file for the frontend interactive viewer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Triage new issues in the Sentry `javascript` project by archiving non-actionable noise. Use when asked to "triage issues", "triage the javascript project", "archive non-actionable issues", "triage new frontend issues", or "clean up the sentry/javascript queue". Operates only on the sentry/javascript project, only archives (never resolves), and always archives with `untilEscalating`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Consolidate PostHog error tracking issues that are the same actual error reported under different fingerprints. Use when the user asks "why do I have so many TypeError issues that look the same?", "merge these duplicates", "stop splitting this error into new issues", or wants to clean up fingerprint sprawl. Decides between a one-shot merge of existing issues and a durable grouping rule that keeps future events from creating new fingerprints. Does NOT group conceptually similar bugs across different runtimes, SDKs, or call sites.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Keep iterating on code changes until the tests pass, the build succeeds, or linting is clean. Runs in a tight loop of fix → run → check → repeat. Use when you want the agent to autonomously grind through test failures or build errors.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create a clean, review-ready pull request with a good title, structured description, linked issues, and appropriate reviewers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.