Match task descriptions to the most suitable installed agents.
npx skills add https://github.com/mandubian/autonoetic --skill discovery-default
Please help me install this Agent Skill. Skill: discovery.default Source: https://github.com/mandubian/autonoetic/tree/main/agents/specialists/discovery.default Command: npx skills add https://github.com/mandubian/autonoetic --skill discovery-default
Installed agents that best match a given task intent without executing tasks.
Provide a task description and let the system suggest the best agent.
High-intent search queries and answers about installing and using this skill.
To discover the best agent for a specific task, provide a task description to the system. It ranks installed agents by relevance and returns a recommended agent_id without executing the task.
LLM agent capability matching compares agent capabilities against task requirements to ensure fit. It identifies and ranks installed agents by relevance to help select the best candidate for delegation.
You can rank installed agents by task relevance by providing a task description. The system applies agent.list, capability descriptions, and optional knowledge recall to rank candidates and return a recommended agent_id.
Yes, you can select an agent for delegation without executing tasks. The system matches a task description to suitable installed agents and returns a recommended agent_id for planning purposes.
Yes, agent discovery works with optional knowledge recall. It relies on agent.list, capability descriptions, and optional knowledge recall to rank candidates and return a recommended agent_id.
imbue-aiResolve agent names or descriptions to exact mngr agent identifiers.
Gami19Design and validate Strands YAML agent definitions against strands-yaml-schema.md.
TonyQ-AIExecute multi-agent YAML orchestration workflows with role-based task dependencies.
curiositechMatch natural language tasks to ranked candidate skills using semantic similarity and intent extraction.
