lingzhi227/agent-research-skills
Leading#4 in Skillslow confidence
A systematic academic literature-review skill running a 6-phase survey from frontier scan to compiled report. Niche and low-star, so ranked last.Our read
Why it ranks #4
The repository documents a complete six-phase literature-survey workflow, but its single GitHub source and low star count indicate limited adoption and independent validation.Here is the catch
Very small community and little independent review evidence
Requires external academic search and model tooling
Maintenance and compatibility risk are higher than for established projects
Does this well
Focused workflow is useful for structured literature surveys
Open skill instructions can be inspected and modified
Phased process gives agents clearer checkpoints than a single prompt
Pricing
Checked by hand on 2026-07-23. Prices in this category change often — if this looks wrong, it probably is.
Key features
Frontier-scan literature searchSix-phase survey workflowPaper clustering and synthesisCompiled academic report generation
Sources we read
Quick facts
More in this area
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- 3claude-deep-research-skillAn 8-phase deep-research skill with source-credibility scoring and automated citation/DOI verification for long reports. Smaller/newer, so ranked mid at medium confidence.
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- 6Orchestra-Research/AI-Research-SKILLs98 skills that walk a coding agent through ML research: literature survey, experiment design, training runs, evaluation and paper drafting.
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