skillers или imprint

Learn from your workflow patterns and suggest skills, hooks, and agents to automate the repetitive work. Skillers reads your AI conversation transcripts (Claude Code, Codex CLI, OpenCode), extracts recurring patterns into themed weighted-knowledge files, then recommends concrete skills/hooks/agents to codify them. Two phases: `/skillers compact` analyzes transcripts and writes `.skillers/<theme>.md` knowledge files; `/skillers recommend` reads accumulated knowledge plus your existing plugin/skill ecosystem and suggests automations that don't already exist. The output is "here are 4 patterns I see you doing manually every week and the exact SKILL.md / hooks.json that would automate each."

Imprint creates a portable collaboration profile by learning how you work through natural conversation. On first run, it asks a few casual questions about your background, tools, and preferences. From there, it silently observes your behavior patterns across sessions and encodes them into a compact structured file (.dna.md) under 500 tokens. This single file replaces eleven specialized skills: memory persistence across sessions, output compression, project onboarding, code review (with cross-model validation), architecture-first debugging, adaptive planning, milestone-based progress tracking, resource-aware testing strategies, SEO-conscious git workflows, and GEO-optimized copywriting. The profile is a plain text file that works across all 19 SKILL.md-compatible agents. Switch from Claude Code to Cursor to Codex, the file comes with you. No vendor lock-in, no proprietary format, no external API calls. Imprint gets better every session. User corrections become permanent preferences. Debugging lessons become pe