Detect user role and state to execute the next handoff action.
npx skills add https://github.com/jblacketter/tokenbench --skill handoff-jblacketter
Please help me install this Agent Skill. Skill: handoff Source: https://github.com/jblacketter/tokenbench/tree/main/.claude/skills/handoff Command: npx skills add https://github.com/jblacketter/tokenbench --skill handoff-jblacketter
Automatically coordinates AI handoff between roles by detecting the active role and current state, then executing the appropriate next action to keep workflows moving.
Run a handoff cycle by verifying your role and state, then execute the next step in the active cycle.
High-intent search queries and answers about installing and using this skill.
Automate AI workflow handoff by detecting the active user role and current state, then executing the appropriate next action to keep collaborative cycles moving. The system reads handoff-state.json and active cycle files to determine the correct step automatically.
State-driven cycle management reads ai-handoff.yaml, handoff-state.json, and the active cycle file to determine the next step in an AI workflow. It maintains progress by preserving the current state across role transitions and plan or implementation cycles.
Recover from errors during an AI handoff cycle using built-in error-recovery rules and next-step prompts. The system reads the current handoff-state.json to safely guide the workflow back to the correct action without losing cycle progress.
AI handoff auto-detection works across both plan and implementation cycles. It identifies whether the active role is a lead or reviewer and advances the cycle accordingly by reading the active cycle file to execute the correct next step.
You need ai-handoff.yaml, handoff-state.json, and an active cycle file to run an automated AI handoff. The system reads these files to detect your role and state before executing the next action in the collaborative workflow.
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