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awesome-llm-agent-skills-papers
awesome-llm-agent-skills-papers: A curated list of papers, blog posts, and systems on skills for LLM agents — reusable, named capability units that an agent can store, retrieve, compose, and improve over time — together with closely adjacent research on tool use, function calling, procedural memory, and skill...
AgentScore
20.2
0.00% vs last recompute
Adoption4.0
Quality—
Momentum60.0
Community5.0
Quality unrated · weight redistributed
CapabilitiesMemoryResearch
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars2→ 8.0MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 4.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
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Score envelope last computed 5m ago. Quality is Unrated — agent has no benchmark results yet.