Compress internal agent documents into concise handoff summaries.
npx skills add https://github.com/cloudofgeorge/AI-hands --skill forthright
Please help me install this Agent Skill. Skill: forthright Source: https://github.com/cloudofgeorge/AI-hands/tree/main/skills/forthright Command: npx skills add https://github.com/cloudofgeorge/AI-hands --skill forthright
Forthright provides auto-applied, high-compression communication for ACP workers, subagents, and AI-agent handoffs, reducing fluff while preserving essential details.
Apply forthright to internal documents to generate concise handoff outputs.
High-intent search queries and answers about installing and using this skill.
Agent-to-agent communication requires dropping filler and hedging while preserving exact technical terms, file paths, and quoted errors. Forthright enforces this formal pattern, automatically compressing internal handoff documents into concise, high-signal updates for ACP workers and subagents.
The best way to format concise updates for AI agent handoffs is to use a formal compression pattern that drops fluff and preserves essential details. Forthright automates this formatting for reviewer and implementer notes across subagent workflows.
Forthright supports three levels of document compression: lite, full, and ultra modes. These modes allow you to control the compression intensity when formatting internal documents like AGENTS.md, SOUL.md, and HEARTBEAT.md for agent handoffs.
Yes, you can use forthright for plan updates and reviewer-implementer notes. It directly formats these internal communications for agent-to-agent handoffs, ensuring high-signal content by eliminating filler while preserving exact technical terms and quoted errors.
You need to compress internal agent files like SOUL.md and HEARTBEAT.md during subagent handoffs to reduce context fluff. Forthright auto-applies its compression pattern to these files, transforming them into concise summaries that preserve essential workflow details.
TheophilusChinomonaCreate and optimize OpenClaw agent workspace files through guided interviews.
mraakashshahMonitor worker context consumption and trigger proactive handoff in isolated worktrees.
zhcndocRoute plain-language requests to ACP harness flows via sessions_spawn or acpx paths.
ChakshuGautamCompress agent session context using anchored iterative summarization and probe-based evaluation.
