{"id":"https://openalex.org/W7151364916","doi":"https://doi.org/10.48550/arxiv.2604.03964","title":"SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources","display_name":"SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources","publication_year":2026,"publication_date":"2026-04-05","ids":{"openalex":"https://openalex.org/W7151364916","doi":"https://doi.org/10.48550/arxiv.2604.03964"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03964","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03964","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.03964","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133118169","display_name":"Shuaike Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shen, Shuaike","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074045070","display_name":"Wenduo Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Wenduo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101277019","display_name":"Mingqian Ma","orcid":"https://orcid.org/0000-0001-8571-6806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Mingqian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040587306","display_name":"Alistair Turcan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Turcan, Alistair","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055461968","display_name":"Martin Jinye Zhang","orcid":"https://orcid.org/0000-0003-0006-2466"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Martin Jinye","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133092335","display_name":"Jian Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Jian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5133118169"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.5924999713897705,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.5924999713897705,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.13670000433921814,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.024000000208616257,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6948999762535095},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.657800018787384},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.5758000016212463},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5406000018119812},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5234000086784363},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5212000012397766},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.43869999051094055},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4293000102043152}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6948999762535095},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.657800018787384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6539000272750854},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.5758000016212463},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5406000018119812},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5212000012397766},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4690999984741211},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.43869999051094055},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.38280001282691956},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C195732255","wikidata":"https://www.wikidata.org/wiki/Q981008","display_name":"Sociology of scientific knowledge","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C2781083858","wikidata":"https://www.wikidata.org/wiki/Q17327049","display_name":"Scientific literature","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03964","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03964","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.03964","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03964","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7422984838485718,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"scientific":[1,36,49,177,229],"ecosystems":[2],"are":[3],"rich":[4],"in":[5],"procedural":[6],"knowledge":[7,21,89],"across":[8,24],"repositories,":[9],"APIs,":[10],"scripts,":[11],"notebooks,":[12],"documentation,":[13],"databases,":[14],"and":[15,38,72,79,105,126,144,179,195,212,221],"papers,":[16],"yet":[17],"much":[18],"of":[19,133,158],"this":[20],"remains":[22],"fragmented":[23],"heterogeneous":[25],"artifacts":[26],"that":[27,57,67,148,166,180,203],"agents":[28],"cannot":[29],"readily":[30],"operationalize.":[31],"This":[32],"gap":[33],"between":[34],"abundant":[35],"know-how":[37],"usable":[39],"agent":[40,63,154,208],"capabilities":[41],"is":[42],"a":[43,54,83,87,117,123,223],"key":[44],"bottleneck":[45],"for":[46,175,226],"building":[47],"effective":[48],"agents.":[50,230],"We":[51,146,163],"present":[52],"SkillFoundry,":[53],"self-evolving":[55],"framework":[56],"converts":[58],"such":[59,141],"resources":[60,92],"into":[61,101],"validated":[62],"skills,":[64],"reusable":[65],"packages":[66],"encode":[68],"task":[69],"scope,":[70],"inputs":[71],"outputs,":[73],"execution":[74],"steps,":[75],"environment":[76],"assumptions,":[77],"provenance,":[78],"tests.":[80],"SkillFoundry":[81,121,167],"organizes":[82],"target":[84],"domain":[85,88],"as":[86,142],"tree,":[90],"mines":[91],"from":[93,137],"high-value":[94],"branches,":[95],"extracts":[96],"operational":[97],"contracts,":[98],"compiles":[99],"them":[100],"executable":[102],"skill":[103,129,139,219],"packages,":[104],"then":[106],"iteratively":[107],"expands,":[108],"repairs,":[109],"merges,":[110],"or":[111],"prunes":[112],"the":[113,159,181,196],"resulting":[114,182],"library":[115],"through":[116],"closed-loop":[118],"validation":[119],"process.":[120],"produces":[122],"substantially":[124,184],"novel":[125],"internally":[127],"valid":[128],"library,":[130],"with":[131],"71.1\\%":[132],"mined":[134,150,205],"skills":[135,151,172,183,206],"differing":[136],"existing":[138],"libraries":[140],"SkillHub":[143],"SkillSMP.":[145],"demonstrate":[147],"these":[149,200],"improve":[152,185,207],"coding":[153],"performance":[155,186,209],"on":[156,173,187,210],"five":[157],"six":[160],"MoSciBench":[161],"datasets.":[162],"further":[164],"show":[165,202],"can":[168],"design":[169],"new":[170],"task-specific":[171],"demand":[174],"concrete":[176],"objectives,":[178],"two":[188],"challenging":[189],"genomics":[190],"tasks:":[191],"cell":[192],"type":[193],"annotation":[194],"scDRS":[197],"workflow.":[198],"Together,":[199],"results":[201],"automatically":[204],"benchmarks":[211],"domain-specific":[213],"tasks,":[214],"expand":[215],"coverage":[216],"beyond":[217],"hand-crafted":[218],"libraries,":[220],"provide":[222],"practical":[224],"foundation":[225],"more":[227],"capable":[228]},"counts_by_year":[],"updated_date":"2026-04-08T06:07:18.267832","created_date":"2026-04-08T00:00:00"}