{"id":"https://openalex.org/W7161728449","doi":"https://doi.org/10.48550/arxiv.2605.18693","title":"SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents","display_name":"SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161728449","doi":"https://doi.org/10.48550/arxiv.2605.18693"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18693","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18693","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.18693","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136475756","display_name":"Yifan Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136471354","display_name":"Zhentao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhentao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136497625","display_name":"Ziming Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Ziming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136459233","display_name":"Shuo Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136494056","display_name":"Qizhen Lan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lan, Qizhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109781353","display_name":"Zhangquan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhangquan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136490490","display_name":"Zhi Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136504246","display_name":"QianyuXu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"QianyuXu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136473135","display_name":"Ronghao Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ronghao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136471864","display_name":"Huacan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Huacan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136491732","display_name":"Sen Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Sen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.29190000891685486,"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"}},"topics":[{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.29190000891685486,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.19269999861717224,"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"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.06340000033378601,"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/executable","display_name":"Executable","score":0.6956999897956848},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6697999835014343},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.638700008392334},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6031000018119812},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5812000036239624},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4553999900817871},{"id":"https://openalex.org/keywords/traceability","display_name":"Traceability","score":0.4487000107765198},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4345000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980000138282776},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6956999897956848},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6697999835014343},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.638700008392334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6031000018119812},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5812000036239624},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4553999900817871},{"id":"https://openalex.org/C153876917","wikidata":"https://www.wikidata.org/wiki/Q899704","display_name":"Traceability","level":2,"score":0.4487000107765198},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.40700000524520874},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C52723943","wikidata":"https://www.wikidata.org/wiki/Q1127410","display_name":"Serialization","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2888000011444092},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18693","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18693","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.18693","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18693","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8631789088249207}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"LLM":[1],"agents":[2,17,49],"are":[3,99,144,157],"increasingly":[4],"built":[5],"around":[6],"reusable":[7,135,215],"skills,":[8,21],"a":[9,73,81,88,120,134,200,234],"central":[10],"challenge":[11],"is":[12,123,128],"no":[13],"longer":[14],"only":[15],"whether":[16,23],"can":[18,25],"use":[19],"provided":[20],"but":[22,57],"they":[24,58],"generate":[26],"correct,":[27],"reusable,":[28],"and":[29,34,83,93,105,130,162,164,169,184,205,218],"executable":[30],"skills":[31,44],"from":[32,54,174,226],"repositories":[33,228],"documents.":[35,231],"Existing":[36],"benchmarks":[37],"primarily":[38],"evaluate":[39],"the":[40,46,66,126,212],"efficacy":[41],"of":[42,48,68,202,214],"given":[43],"or":[45],"ability":[47],"to":[50],"solve":[51],"downstream":[52,142],"tasks":[53,143],"raw":[55,91],"context,":[56],"do":[59],"not":[60],"isolate":[61],"skill":[62,77,96,122,136,216,224,239],"generation":[63,78,115,225,240],"itself":[64],"as":[65,241],"object":[67],"study.":[69],"We":[70,177],"introduce":[71],"SkillGenBench,":[72,87],"benchmark":[74,112],"for":[75,196,237],"evaluating":[76],"pipelines":[79],"under":[80,102],"unified":[82,108],"controlled":[84],"protocol.":[85],"In":[86],"generator":[89],"receives":[90],"corpora":[92],"produces":[94],"standardized":[95,179],"artifacts,":[97],"which":[98],"then":[100],"executed":[101],"fixed":[103],"harnesses":[104],"assessed":[106],"with":[107],"evaluation":[109,185],"procedures.":[110],"The":[111],"covers":[113],"two":[114,149],"regimes:":[116],"task-conditioned":[117],"generation,":[118,132],"where":[119,133,155,167],"task-specific":[121],"synthesized":[124],"after":[125],"task":[127,180],"revealed,":[129],"task-agnostic":[131],"library":[137],"must":[138,171],"be":[139,172],"distilled":[140,173],"before":[141],"known.":[145],"It":[146],"also":[147],"spans":[148],"complementary":[150],"procedural":[151],"sources:":[152],"repository-grounded":[153],"instances,":[154,166],"procedures":[156,168],"distributed":[158],"across":[159,199],"code,":[160],"configuration,":[161],"scripts,":[163],"document-grounded":[165],"constraints":[170],"long-form":[175,230],"text.":[176],"provide":[178],"specifications,":[181],"pinned":[182],"environments,":[183],"protocols":[186],"centered":[187],"on":[188],"deterministic":[189],"execution-based":[190],"checks,":[191],"supplemented":[192],"by":[193],"auxiliary":[194],"signals":[195],"diagnosis.":[197],"Experiments":[198],"range":[201],"skill-generation":[203],"methods":[204],"backbones":[206],"show":[207],"substantial":[208],"performance":[209],"variation,":[210],"highlight":[211],"difficulty":[213],"distillation,":[217],"reveal":[219],"distinct":[220],"failure":[221],"modes":[222],"in":[223,246],"software":[227],"versus":[229],"SkillGenBench":[232],"establishes":[233],"reproducible":[235],"testbed":[236],"studying":[238],"an":[242],"independent":[243],"research":[244],"problem":[245],"agent":[247],"systems.":[248]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}
