Organize onboarding, memory, and operating rules into structured markdown files.
npx skills add https://github.com/LudwigAJ/swell --skill proactive-agent-ludwigaj
Please help me install this Agent Skill. Skill: proactive-agent Source: https://github.com/LudwigAJ/swell/tree/main/.factory/skills/proactive-agent Command: npx skills add https://github.com/LudwigAJ/swell --skill proactive-agent-ludwigaj
This Skill helps an AI agent stay useful across long sessions by preserving context, learning from interactions, and proactively checking for work that matters.
Copy the provided workspace files into your project, then tell the agent to follow the onboarding flow and start maintaining memory and heartbeats.
High-intent search queries and answers about installing and using this skill.
Persistent agent memory solves context loss by capturing decisions, corrections, and task state in structured markdown files. This allows long-running assistants to resume interrupted workflows, remember user preferences, and continue previous work without losing thread history.
Make an AI assistant proactive by implementing onboarding flows, heartbeats, and reverse prompting routines. These mechanisms trigger recurring check-ins and allow the agent to identify and perform useful next steps autonomously without waiting for explicit user commands.
Security hardening for autonomous agents requires approval gates before external actions, prompt-injection defense mechanisms, and deletion confirmation protocols. These safety measures prevent unauthorized modifications and ensure the agent verifies completed tasks before reporting them done.
Handle context truncation by implementing compaction recovery routines that preserve critical task state and decisions in structured workspace files. When context gets truncated, the agent reads the preserved memory files to recover operational continuity and resume its workflow seamlessly.
Set up a self-improvement workflow by copying structured markdown workspace files into your project and instructing the agent to follow the onboarding flow. The agent then maintains memory, performs recurring check-ins, and audits its own interactions to improve future performance.
EhraxCreates isolated git worktrees for feature work with verified ignore rules and project setup.
MerkyorLynnImplement proactive agent operations with session-state persistence and recovery.
alter123-zzPreserve agent working state with write-ahead logging and compaction recovery.
MuchunpengLog corrections and update memory patterns from user feedback.
