Research skills

Research competitors -- who else does this, how they do it, strengths and weaknesses. Uses structured intake with clarifying questions and decision gates before execution.

Exhaustive deep-dive analysis of a single topic. Comprehensive research with intake gates, structured output, evidence quality ratings, and actionable recommendations.

Assess whether something can be built, with what effort, and what risks or blockers exist. Evaluates technical, resource, and timeline feasibility.

Research grant writing assistance and funding opportunity analysis

Research the history of a topic -- how it evolved, key milestones, and what patterns emerge over time. Provides chronological analysis with lessons learned.

Broad survey of a space -- players, trends, dynamics, and emerging patterns. Maps the territory before committing to a direction.

Targeted research lookup across multiple academic databases

Find and evaluate open-source solutions, libraries, and tools. Compares options on activity, documentation, community, license, and fitness for purpose.

Compare specific alternatives with structured criteria. Side-by-side evaluation of options across dimensions that matter for the decision at hand.

Deep technical analysis of architectures, APIs, or implementations. Evaluates technical approaches, tradeoffs, and produces actionable technical recommendations.

Structured scientific brainstorming and ideation framework

Critical analysis of scientific claims, methods, and evidence

Generate scientific diagrams, schematics, and technical illustrations

Generate scientific presentation slides with proper formatting

Advanced scientific data visualization and figure composition

Scientific manuscript drafting, editing, and style optimization

Search Semantic Scholar for academic papers on a given topic

Methodology for market research and data collection, ensuring data quality and source traceability

Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them…

Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision…

Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy…

Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan…

Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS…

Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures)…