SkillClaw: Let Skills Evolve Collectively with Agentic Evolver explores SkillClaw enables LLM agents to collectively evolve their skills by learning from cross-user interactions, improving performance system-wide without user effort.. Commercial viability score: 4/10 in Agents.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/skillclaw-let-skills-evolve-collectively-with-agentic-evolver
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID skillclaw-let-skills-evolve-collectively-with-agentic-evolver | Route /paper/skillclaw-let-skills-evolve-collectively-with-agentic-evolver
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/skillclaw-let-skills-evolve-collectively-with-agentic-evolverMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.08377"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "SkillClaw: Let Skills Evolve Collectively with Agentic Evolver",
"normalized_query": "2604.08377",
"route": "/paper/skillclaw-let-skills-evolve-collectively-with-agentic-evolver",
"paper_ref": "skillclaw-let-skills-evolve-collectively-with-agentic-evolver",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 4.0
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