Manage user instructions as a single source of truth and decompose them into a task tree.
npx skills add https://github.com/2lab-ai/soma-work --skill using-ssot
Please help me install this Agent Skill. Skill: using-ssot Source: https://github.com/2lab-ai/soma-work/tree/main/src/local/skills/using-ssot Command: npx skills add https://github.com/2lab-ai/soma-work --skill using-ssot
This Skill provides a framework for managing user instructions as a single source of truth (SSOT), decomposing them into atomic tasks, and handling drifts and completions.
Use the using-ssot skill to process the user's instructions and generate a SSOT and task tree.
High-intent search queries and answers about installing and using this skill.
To decompose tasks into atomic units, the framework breaks down the single source of truth into self-contained tasks. This ensures complex workflows are handled systematically with clear traceability of instruction execution.
To decompose tasks into atomic units, the framework breaks down the single source of truth into self-contained tasks. This ensures complex workflows are handled systematically with clear traceability of instruction execution.
Yes, you need Python installed to run task decomposition and completion reporting. The framework relies on Python scripts to execute tasks, handle instruction drifts, and generate hierarchical completion reports.
Handling instruction drift requires updating the existing task tree based on changes to the single source of truth. This framework automatically manages drifts to ensure task execution remains aligned with current user instructions.
You need a single source of truth for task decomposition when managing complex workflows where maintaining a clear, traceable history of user instructions and task completions is crucial for project success.
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cyberpunk042Manage and synchronize AICP workflow and runtime tasks via the aicp CLI.
AtaraxiaEpiphanyParse track-state.json files to aggregate task progress and detect blockers.
