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研究学习 / 检索整理
related-work-writing
related-work-writing
Write Related Work sections that compare and contrast prior work with your approach. Organize by theme, cite broadly, and explain how your work differs. Use…
研究学习 / 检索整理
self-review
self-review
Automatically review an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text…
研究学习 / 检索整理
ln-650-persistence-performance-auditor
ln-650-persistence-performance-auditor
Use when auditing persistence and runtime performance through the evaluation platform with mandatory research, coordinated data-layer workers, and structured…
研究学习 / 检索整理
deep-research
deep-research
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews,…
研究学习 / 检索整理
ln-724-artifact-cleaner
ln-724-artifact-cleaner
Removes platform-specific artifacts from Replit, StackBlitz, CodeSandbox, Glitch. Use when preparing exported projects for production.
研究学习 / 检索整理
survey-generation
survey-generation
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence…
研究学习 / 检索整理
paper-compilation
paper-compilation
Compile LaTeX papers to PDF with automatic error detection, chktex style checking, and citation/reference validation. Runs the full pdflatex + bibtex pipeline.…
研究学习 / 检索整理
code-debugging
code-debugging
Debug experiment code with structured error analysis. Categorize errors, apply targeted fixes with retry logic, and use reflection to prevent recurring issues.…
研究学习 / 检索整理
ln-723-seed-data-generator
ln-723-seed-data-generator
Generates seed data from ORM schemas or entity definitions to any target format. Use when populating databases for development.
研究学习 / 检索整理
ln-520-test-planner
ln-520-test-planner
Orchestrates test planning pipeline: research, manual testing, automated test planning. Use when Story needs comprehensive test coverage planning.
研究学习 / 检索整理
ln-1000-pipeline-orchestrator
ln-1000-pipeline-orchestrator
Drives a Story through full pipeline (tasks, validation, execution, quality). Use when executing a Story end-to-end from kanban board.
研究学习 / 检索整理
review-docs
review-docs
Review and improve documentation with parallel evaluation and iterative improvement loop.
研究学习 / 检索整理
ln-510-quality-coordinator
ln-510-quality-coordinator
Use when coordinating story quality evaluation with mandatory research, worker summaries, agent review, regression evidence, and bounded refinement.
研究学习 / 检索整理
postgres
postgres
Use this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. **Trigger when user asks to:** - Design or modify PostgreSQL tables, schemas, or data models - Choose data types, constraints, indexes, or partitioning strategies - Work with pgvector embeddings, semantic search, or RAG - Set up full-text search, hybrid search, or BM25 ranking - Use PostGIS for spatial/geographic data - Set up TimescaleDB hypertables for time-series data - Migrate tables to hypertables or evaluate migration candidates **Keywords:** PostgreSQL, Postgres, SQL, schema, table design, indexes, constraints, pgvector, PostGIS, TimescaleDB, hypertable, semantic search, hybrid search, BM25, time-series
研究学习 / 检索整理
ln-521-test-researcher
ln-521-test-researcher
Researches real-world problems, competitor solutions, and customer complaints for a feature domain. Use before test planning to ground tests in actual user…
研究学习 / 检索整理
scholar-evaluation
scholar-evaluation
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem…
研究学习 / 检索整理
ln-641-pattern-analyzer
ln-641-pattern-analyzer
Analyzes single pattern implementation, calculates compliance/completeness/quality scores, identifies gaps. Use when auditing a specific pattern.
研究学习 / 检索整理
gpt-5-4-prompting
gpt-5-4-prompting
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
研究学习 / 检索整理
paper-review
paper-review
Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing. Core method: 5-aspect checklist (contribution sufficiency,…
研究学习 / 检索整理
paper-to-code
paper-to-code
Convert an ML research paper into a complete, runnable code repository. 3-stage pipeline from Paper2Code — Planning (UML + dependency graph) → Analysis…