Discovery Toolbox is an AI Engineering skill for Claude Code, published by dekan-aleksandr in biodiscovery-skills.
Discovery Toolbox routes biological research agents to small sets of operators for weak screens, anomalies, causal claims, and search stagnation. It helps choose the right reasoning move before returning to the research loop.
Discovery Toolbox is cataloged under AI Engineering on DirSkills. Discovery Toolbox comes from a repository tagged agent-skills, ai-scientist, bioinformatics, claude-code-skills and claude-skills.
Documentation
Load on demand, never wholesale. Route to the smallest relevant section. Usually activate 1–3 operators, execute them, then return to the research loop.
The toolbox is a repertoire, not a checklist.
Trigger: shape, heterogeneity, ranking, trajectories, subsets, or individual observations may matter.
This is the opening of the README. Read the full README on GitHub.
Discovery Toolbox is one of 2 skills that DirSkills catalogs from dekan-aleksandr/biodiscovery-skills, the repository it ships in. Its siblings there include Discovery Director. Each one is a separate skill with its own page in this directory, installs the same way Discovery Toolbox does, and is maintained by dekan-aleksandr in that same repository. The rest of the collection is listed on the dekan-aleksandr/biodiscovery-skills page.
Discovery Toolbox ranks #2444 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Discovery Toolbox against them. Open each page to compare what they document and how they install.
Discovery Toolbox is one of 2 skills cataloged on DirSkills from dekan-aleksandr/biodiscovery-skills.
Discovery Toolbox is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #2444 by stars among them.