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chatbotfullpipeline
chatbotfullpipeline enthält 11 gesammelte Skills von minh2004pd, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Create test cases, run QA/QC checks, and ensure code quality. Use when asked to write tests, review code quality, or perform QA. Supports: unit tests, integration tests, coverage analysis, linting, type checking.
Diagnose why the agent isn't calling wiki tools correctly — checks tool registration, system_instruction wiki strategy, and replays a query to trace tool call behavior.
Standard flow for adding a new research paper to MemRAG — upload, wait for wiki ingestion, verify output. Use when onboarding a new paper into the knowledge base.
Inspect wiki state for a user — list all pages, read index.md, show recent log entries. Use when wiki isn't updating correctly after ingestion or when you need to verify wiki content.
Diagnose và fix các vấn đề liên quan đến Google ADK agents, tools, session state, multi-agent communication trong dự án MemRAG.
Run the full pre-push verification sequence — backend lint+format, backend tests, frontend types+lint+build. Stop and report on first failure.
Build frontend and deploy to S3 + CloudFront. Run manually from local machine when you want to deploy without waiting for CI. Requires AWS credentials and CF_DISTRIBUTION_ID env var.
Auto-fix ruff format + lint errors in backend before committing. Run this before any git push to avoid CI/CD failures.
Verify frontend is clean before commit or deploy — runs TypeScript type-check, ESLint, and Vite production build from frontend/
Full Qdrant data reset — run when embedding dimension changes or data is corrupted. Destroys all vector data.
Run the full test suite with coverage. Use before marking a task done.