elegant-researcher-skill

Orchestrate a complete AI/ML research project from a user's idea to a finished research artifact by coordinating bundled research skills: autoresearch, research-lookup, brainstorming-research-ideas, scientific-critical-thinking, scholar-evaluation, ml-training-recipes, academic-plotting, scientific-visualization, scientific-schematics, imagegen, scientific-writing, ml-paper-writing, systems-paper-writing, and user-interaction. Supports explicit modes, evidence levels, checkpointed user steering, micro-validation, full-experiment handoff, and final response contracts.

Defines the checkpoint protocol for the elegant-researcher-skill pipeline. Use at major research transition points to summarize artifacts, show options, apply mode-specific defaults, and continue without blocking routine decisions.

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.

Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.

AI image generation using Google Gemini (Gemini) and OpenAI GPT-Image. Generate, edit, iterate, and create assets.

Look up current research information using saved source searches. Prefer direct parallel-cli search commands for fast web search when available; use research_lookup.py for API-routed Parallel Chat deep research or Perplexity academic searches. Use for finding papers, gathering research data, and verifying scientific information. Note: API-routed queries are transmitted to api.parallel.ai (PARALLEL_API_KEY) or openrouter.ai (OPENROUTER_API_KEY).

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.