Pith Number

pith:HRPFSIX2

pith:2026:HRPFSIX2DSGAC5MMRNT32Q7RO2

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SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System

Jianghao Lin, Jiaye Gao, Jun Wang, Shuai Pan, Te Gao, Weinan Zhang, Weiwen Liu, Yixiang Liu, Yong Yu, Zhihui Fu

SkillMAS couples skill evolution with multi-agent system restructuring through utility learning and evidence gating.

arxiv:2605.09341 v2 · 2026-05-10 · cs.MA · cs.CL

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Claims

C1strongest claim

SkillMAS uses Utility Learning to assign credit from verified execution traces, bounded skill evolution to refine reusable procedures without unfiltered library growth, and evidence-gated MAS restructuring when retained failures and Executor Utility indicate a structural mismatch. Across embodied manipulation, command-line execution, and retail workflows, SkillMAS is competitive under the reported harnesses while clarifying how post-deployment specialization is attributed, updated, and applied.

C2weakest assumption

That verified execution traces provide unbiased credit assignment for skill utility and that evidence from retained failures reliably signals when MAS restructuring is needed, without the framework introducing its own biases in trace selection or utility thresholds.

C3one line summary

SkillMAS couples skill evolution with multi-agent system restructuring in LLM agents through utility learning from traces, bounded refinement, and evidence-gated changes, achieving competitive results on manipulation, CLI, and retail tasks.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents

Receipt and verification

First computed	2026-05-20T00:03:16.335457Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3c5e5922fa1c8c01758c8b67bd43f176b8de161a9609aa780511427e9192eb0b

Aliases

arxiv: 2605.09341 · arxiv_version: 2605.09341v2 · doi: 10.48550/arxiv.2605.09341 · pith_short_12: HRPFSIX2DSGA · pith_short_16: HRPFSIX2DSGAC5MM · pith_short_8: HRPFSIX2

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HRPFSIX2DSGAC5MMRNT32Q7RO2 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3c5e5922fa1c8c01758c8b67bd43f176b8de161a9609aa780511427e9192eb0b

Canonical record JSON

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    "abstract_canon_sha256": "85d331b206d5881ef6b3f765191bccd938f96773d5ecf53abf08b29499e2a0a7",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.MA",
    "submitted_at": "2026-05-10T05:43:12Z",
    "title_canon_sha256": "8ab520ecd26b987d45e00875fc65cc7710a0c31fa2815d1bb657a5df8888ec4a"
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    "kind": "arxiv",
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