{"id":"https://openalex.org/W7163149954","doi":"https://doi.org/10.48550/arxiv.2606.01314","title":"SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems","display_name":"SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems","publication_year":2026,"publication_date":"2026-05-31","ids":{"openalex":"https://openalex.org/W7163149954","doi":"https://doi.org/10.48550/arxiv.2606.01314"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01314","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01314","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.01314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137646135","display_name":"Yangbo Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Yangbo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137619706","display_name":"Zhen Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137669842","display_name":"Shaoqiang Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Shaoqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137664964","display_name":"Junhong Qian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Junhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137624363","display_name":"Qifan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Qifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137690359","display_name":"Chen Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137627938","display_name":"Lei He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Lei","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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.17970000207424164,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.17970000207424164,"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/T12090","display_name":"Language and cultural evolution","score":0.14000000059604645,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.07180000096559525,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5889000296592712},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5303000211715698},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5002999901771545},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4722000062465668},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.392300009727478},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.3416000008583069},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.3260999917984009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629999876022339},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5889000296592712},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5303000211715698},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5002999901771545},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4722000062465668},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41029998660087585},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.392300009727478},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3215999901294708},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C103275481","wikidata":"https://www.wikidata.org/wiki/Q6787889","display_name":"Matrix representation","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01314","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01314","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.01314","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01314","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":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.786529004573822}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"self-evolving":[1],"agents":[2],"have":[3],"shown":[4],"that":[5,63,144,160,168],"skills":[6,66,116],"can":[7],"be":[8,72],"discovered,":[9],"refined,":[10],"and":[11,25,67,113,117,125,136,141,154,173],"accumulated":[12],"through":[13],"execution.":[14],"However,":[15],"existing":[16],"skill-evolution":[17],"frameworks":[18],"typically":[19],"assume":[20],"a":[21,46,53,83],"fixed":[22],"tool":[23],"layer":[24],"evaluate":[26],"each":[27],"skill":[28,80],"independently,":[29],"limiting":[30],"their":[31],"ability":[32],"to":[33,71,138],"repair":[34],"tool-level":[35],"failures":[36],"or":[37,77],"reason":[38],"about":[39],"interactions":[40],"among":[41,115],"skills.":[42],"We":[43],"propose":[44],"SkillSmith,":[45],"synergy-aware":[47],"skill-tool":[48],"co-evolution":[49],"framework.":[50],"SkillSmith":[51,92,128,161],"introduces":[52],"unified":[54],"proposal":[55],"space":[56],"in":[57],"which":[58],"reflection":[59],"produces":[60],"atomic":[61],"bundles":[62],"jointly":[64],"modify":[65],"tools,":[68],"allowing":[69],"tools":[70],"wrapped,":[73],"edited,":[74],"composed,":[75],"split,":[76],"retired":[78],"when":[79],"evolution":[81],"identifies":[82],"reusable":[84],"capability":[85],"gap.":[86],"To":[87],"guide":[88],"this":[89],"joint":[90],"search,":[91],"maintains":[93],"an":[94,103],"ecological":[95],"utility":[96],"model":[97,157],"inspired":[98],"by":[99],"Lotka-Volterra":[100],"dynamics,":[101],"where":[102],"interaction":[104],"matrix":[105],"estimated":[106],"from":[107],"execution":[108],"traces":[109],"captures":[110],"pairwise":[111],"complementarity":[112],"conflict":[114],"provides":[118],"pressure":[119],"signals":[120],"for":[121],"retrieval,":[122],"mutation":[123],"prioritization,":[124],"retirement.":[126],"Furthermore,":[127],"records":[129],"anti-patterns,":[130],"including":[131,152],"failure":[132],"signatures,":[133],"causal":[134],"attributions,":[135],"remedies,":[137],"accelerate":[139],"diagnosis":[140],"veto":[142],"proposals":[143],"repeat":[145],"known":[146],"mistakes.":[147],"Experiments":[148],"on":[149],"three":[150],"benchmarks,":[151],"WildClawBench,":[153],"five":[155],"Qwen3.5":[156],"scales":[158],"show":[159],"consistently":[162],"outperforms":[163],"strong":[164],"baselines,":[165],"with":[166],"gains":[167],"amplify":[169],"as":[170],"task":[171],"complexity":[172],"multi-skill":[174],"co-activation":[175],"increase.":[176]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
