{"id":"https://openalex.org/W7160934643","doi":"https://doi.org/10.48550/arxiv.2605.08386","title":"SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents","display_name":"SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160934643","doi":"https://doi.org/10.48550/arxiv.2605.08386"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08386","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08386","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.2605.08386","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135917626","display_name":"Yongliang Miao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao, Yongliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135916133","display_name":"Ziyang Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Ziyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135923505","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0001-8077-3617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135997437","display_name":"Bowen Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Bowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135915346","display_name":"Hasibul Haque","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haque, Hasibul","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/T10028","display_name":"Topic Modeling","score":0.2662999927997589,"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/T10028","display_name":"Topic Modeling","score":0.2662999927997589,"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/T10260","display_name":"Software Engineering Research","score":0.08209999650716782,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.07010000199079514,"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/reuse","display_name":"Reuse","score":0.7753000259399414},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.6085000038146973},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4781000018119812},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4293999969959259},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4009000062942505},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.38440001010894775},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.33009999990463257}],"concepts":[{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7753000259399414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215999960899353},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.6085000038146973},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4781000018119812},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3790000081062317},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08386","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08386","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.2605.08386","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08386","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","score":0.878253161907196,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Skill":[0],"libraries":[1],"have":[2],"become":[3],"a":[4,29,56,64,80,102,179,196],"practical":[5],"way":[6],"for":[7,201],"LLM":[8],"agents":[9],"to":[10,104,121,147,195,211],"reuse":[11,122],"procedural":[12],"experience":[13],"across":[14],"tasks.":[15],"However,":[16],"existing":[17],"systems":[18],"typically":[19],"treat":[20],"skills":[21,37,47,62,142],"as":[22],"flat,":[23],"single-resolution":[24],"prompt":[25],"blocks.":[26],"This":[27,117],"creates":[28],"tension":[30],"between":[31],"relevance":[32],"and":[33,50,71,73,99,143,167,184,204],"cost:":[34],"injecting":[35],"coarse":[36],"can":[38],"introduce":[39],"irrelevant":[40],"or":[41,115],"misleading":[42],"context,":[43],"while":[44,126],"rewriting":[45],"entire":[46],"is":[48],"expensive":[49],"often":[51],"unnecessary.":[52],"We":[53,152],"propose":[54],"SkillLens,":[55],"hierarchical":[57],"skill-evolution":[58],"framework":[59],"that":[60,157,168],"organizes":[61],"into":[63],"four-layer":[65],"graph":[66],"of":[67],"policies,":[68],"strategies,":[69],"procedures,":[70],"primitives,":[72],"retrieves":[74,84],"them":[75,90],"at":[76],"mixed":[77],"granularity.":[78],"Given":[79],"task,":[81],"SkillLens":[82,138,186],"first":[83],"semantically":[85],"relevant":[86],"skill":[87,97],"seeds,":[88],"expands":[89],"through":[91],"degree-corrected":[92],"random":[93],"walk":[94],"over":[95,136,189],"the":[96,119,134,169,175],"graph,":[98],"then":[100],"uses":[101],"verifier":[103,144],"decide":[105],"whether":[106],"each":[107],"visited":[108],"unit":[109],"should":[110],"be":[111],"accepted,":[112],"decomposed,":[113],"rewritten,":[114],"skipped.":[116],"enables":[118],"agent":[120,206],"compatible":[123],"subskills":[124],"directly":[125],"adapting":[127],"only":[128],"locally":[129],"mismatched":[130],"components.":[131],"To":[132],"improve":[133,148],"system":[135],"time,":[137],"further":[139],"refines":[140],"multi-granularity":[141],"in":[145],"order":[146],"its":[149],"routing":[150],"decisions.":[151],"provide":[153],"theoretical":[154],"analysis":[155],"showing":[156],"mixed-granularity":[158],"adaptation":[159],"incurs":[160],"sublinear":[161],"cost":[162],"under":[163],"sparse":[164],"mismatch":[165],"assumptions":[166],"evolutionary":[170],"update":[171],"rule":[172],"monotonically":[173],"improves":[174,188],"validation":[176],"objective":[177],"until":[178],"local":[180],"optimum.":[181],"Across":[182],"MuLocbench":[183],"ALFWorld,":[185],"consistently":[187],"strong":[190],"skill-based":[191],"baselines,":[192],"achieving":[193],"up":[194],"6.31":[197],"percentage-point":[198],"Acc@1":[199],"gain":[200],"bug":[202],"localization":[203],"raising":[205],"success":[207],"rate":[208],"from":[209],"45.00%":[210],"51.31%.":[212]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}
