Align AI-to-AI task handoffs with an ECHO, AUDIT, RECOVER, CONTRACT protocol.
npx skills add https://github.com/ajbmachon/ajbm-skills --skill agent-align
Please help me install this Agent Skill. Skill: agent-align Source: https://github.com/ajbmachon/ajbm-skills/tree/main/plugins/agent-align/skills/agent-align Command: npx skills add https://github.com/ajbmachon/ajbm-skills --skill agent-align
Agent-align prevents multi-agent delegation from failing due to context compression loss, assumption stacking, constraint evaporation, and capability blindness by enforcing a structured AI-to-AI handoff alignment protocol.
Use agent-align when delegating to another AI agent and request a structured handoff alignment with an appropriate level (fast/standard/deep/interview) to produce a verified handoff agreement before implementation.
High-intent search queries and answers about installing and using this skill.
Multi-agent AI handoff alignment prevents silent drift by enforcing a structured ECHO, AUDIT, RECOVER, and CONTRACT protocol. This verifies the task, surfaces inherited constraints, and asks only gap-specific questions before execution.
Constraint evaporation happens in multi-agent pipelines when context asymmetry and assumption stacking cause inherited constraints to be silently downgraded. Applying constraint inheritance with provenance ensures traceability and prevents this failure.
The best way to structure multi-agent AI handoffs is using a four-operation alignment workflow with graduated levels (Inline, Quick, Full, Deep). This matches delegation complexity and timing scope while keeping failure modes under control.
Yes, graduated alignment levels support fast AI-to-AI delegations. The Inline or Quick levels match low-complexity, short-timing scopes, while Full or Deep levels handle complex multi-layer pipelines.
To audit assumptions before executing a delegated plan, use the AUDIT operation within an AI-to-AI alignment protocol. This surfaces inherited constraints with provenance and converges to a confirmed handoff agreement before implementation.
roanbrasilImplement Google's A2A protocol for multi-agent task delegation and discovery.
vasilyu1983Diagnose software bugs and production incidents with systematic debugging workflows.
paulmalmquistRoute Winston/Novendor requests to correct agents and handoffs using surface rules.
AesopScottImplement per-model context packing strategies and boundary rules for LLM integration.
