Skill Availability
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Related Articles from SNS
Skill Availability and Presentation Granularity in Large-Language-Model Agents: A Controlled SkillsBench Study
Announce Type: new Abstract: Skill documents provide procedural knowledge to large-language-model agents at inference time. This article studies whether the presentation granularity of controlled skill knowledge changes downstream task success. The experiment uses a pinned SkillsBench version, a 30-task domain-balanced subset validated by official oracle runs, two reasoning-enabled model configurations, six skill conditions, and five trials per task-condition-model cell.
Skill Retrieval Augmentation for Agentic AI
arXiv:2604.24594v3 Announce Type: replace Abstract: As large language models (LLMs) evolve into agentic problem solvers, they increasingly rely on external, reusable skills to handle tasks beyond their native parametric capabilities. In existing agent systems, the dominant strategy for incorporating skills is to explicitly enumerate available skills within the context window. However, this strategy fails to scale: as skill corpora expand, context budgets are consumed rapidly, and the agent...
SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
Announce Type: new Abstract: Agent skills are procedural artifacts that enable LLM agents to execute workflows, verify constraints, and recover from failures. Existing self-evolving methods refine skills using accumulated trajectories. However, they struggle in cold-start settings, where only an initial, imperfect skill is available.
SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
arXiv:2606.01139v2 Announce Type: replace Abstract: Agent skills are procedural artifacts that enable LLM agents to execute workflows, verify constraints, and recover from failures. Existing self-evolving methods refine skills using accumulated trajectories. However, they struggle in cold-start settings, where only an initial, imperfect skill is available.
Statistical Priors for Implicit Preferences: Decoupling Skill Selection as a Local Harness in Personal Agents
new Abstract: As Large Language Model (LLM) capabilities advance, locally deployed personal agents relying on API-based remote models and external skills have emerged as a novel paradigm. With the rapid expansion of available skills, enabling personal agents to learn and adapt to implicit user preferences becomes a critical challenge. However, local deployment constraints preclude complex centralized selection algorithms, creating an urgent need for a lightweight local preference harness.
Claude Fable won’t answer basic biology questions
Anthropic just released Claude Fable 5, calling it the most powerful AI model it has ever made widely available and praising its skills in biology, among others. But the model won't answer basic biology questions - the kind you'd expect a high schooler to handle. Instead, it hands off the query to the former flagship model, Claude Opus 4.8.
Backpressure is all you need
Backpressure is all you need There are two obvious ways to use coding agents. The first is to let the LLM run unattended and hope the repository survives. This is fast, exciting, and stupid.
How migration became a key to World Cup success
How migration became a key to World Cup success Lisa Lock Scientific Editor Andrew Zinin Lead Editor Few would have predicted Morocco's success at the 2022 Fifa World Cup. Heading into the tournament, they were ranked 22nd in the world and had never progressed beyond the round of 16. Yet they beat Belgium, Spain and Portugal—countries that both then and now rank inside the world's top 10—on their way to becoming the first African nation ever to reach the semi-final.
HR expert urges people to always lie about 1 thing in job interviews
HR expert urges people to always lie about 1 thing in job interviews Anna Papalia has shared the one question you should always lie about when interviewing for a job An author who specialises in successful job interview techniques has revealed precisely what to say when posed with a very particular question – but people remain unconvinced. It's crucial to bear in mind when attending a job interview that, while the employer is attempting to determine if you're suitable for the position, you...
SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization
Announce Type: new Abstract: Recent advances in agentic visualization have enabled the translation of natural language into executable scientific visualization (SciVis) workflows. While general-purpose coding agents show strong capabilities, they often lack the tool-specific expertise required for SciVis tasks. In this work, we present SciVisAgentSkills, a collection of reusable agent skills that augment coding agents for scientific data analysis and visualization by encoding environment...