AI task allocation mapper
Use when a team needs to decide which workflow steps are human-only, AI assist, shared review, supervised AI, or autonomous AI before automation begins.
Review task allocation, calibration examples, structured outputs, prompt checkpoints, and resume checkpoints before giving AI workflows autonomy.
This is a complete workflow library with 5 individual skills. Download the full library or pick the specific skill folder your team needs first.
Some AI tools expect one skill folder per upload. Download the full library when you want the whole workflow, or download an individual skill when you only need one job done.
Use when a team needs to decide which workflow steps are human-only, AI assist, shared review, supervised AI, or autonomous AI before automation begins.
Use when a recurring task needs real examples, expected outputs, edge cases, source rules, reviewer notes, and scoring before becoming a prompt, Skill, or agent workflow.
Use when valid JSON, schema-conforming structured output, function-call arguments, or tool-call payloads need review before the workflow acts on them.
Use when an AI-generated plan, draft, answer, or recommendation needs a human checkpoint that preserves judgment before the output becomes workflow state.
Use when a paused, scheduled, interrupted, failed, or checkpointed AI agent may resume from saved state, pending tool calls, approvals, traces, or memory.
Use the public library when the workflow is low-risk, the inputs are already sanitized, and a team member can review the output before it reaches a buyer or customer.
Do deeper review when this workflow touches real tools, data sources, role ownership, approval paths, or customer-facing output.