Execute fno agents worker mesh commands via natural language using Python libraries.
npx skills add https://github.com/bllshttng/footnote --skill agent-bllshttng
Please help me install this Agent Skill. Skill: agent Source: https://github.com/bllshttng/footnote/tree/main/skills/agent Command: npx skills add https://github.com/bllshttng/footnote --skill agent-bllshttng
This Skill allows you to control the fno agents worker mesh using natural language, eliminating the need for complex CLI commands.
Use the /fno:agent command to spawn a worker for a task with the ID ab-XXXX.
High-intent search queries and answers about installing and using this skill.
You can command fno agents worker mesh tasks in plain language, translating human-readable instructions into fno agents commands for spawning workers, handing off tasks, or discussing with agents without complex CLI syntax.
The fno agents worker mesh is a system for managing distributed workers. Natural language task execution works by resolving your described outcome into the corresponding fno agents command and executing it via Python libraries.
Yes, you need both fno and jq installed in your environment. These dependencies are required to execute fno agents commands, handle spawn and handoff operations, and process worker mesh outputs.
To hand off a task, provide a plain language instruction such as spawning a worker for a specific task ID using codex. The skill resolves the intent and executes the corresponding fno agents handoff or spawn command.
Yes, you can watch logs and stop running workers. The skill supports natural language instructions for log monitoring, listing active agents, checking identity with whoami, and stopping specific fno agents tasks.
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