An OpenClaw-native knowledge retention skill that turns raw inputs into structured practice so you can use what you know, not just store it.
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refactor: skill-first architecture with LLM backend abstraction
2a778fbView on GitHubdocs: document pip install openpraxis in openclaw-knowledge-coach skill
b427ec6View on GitHubci: add PyPI packaging and GitHub Actions publish workflow
0e65bfaView on GitHubchore: rename openclawn to openclaw across skills and docs
978f2a2View on GitHubfeat: support OpenClawn skills workflow for local knowledge mastery
4b418baView on GitHubfeat(cli): add provider selection flags for multi-llm runtime
ee9f775View on GitHubfeat(llm): add multi-provider structured output compatibility
4b9cc8fView on GitHubstyle(cli): improve rich terminal visuals without logic changes
a680d73View on GitHubfeat: multi-turn practice with coach (PracticeMessage, CoachReply, coach_turn/human_turn, MAX_PRACTICE_ROUNDS=3)
eb35c5eView on GitHubBug fixes, new CLI commands, DB helpers, prompt enhancements, 56 tests
00be487View on GitHub