cognition-evolution对话结束自动复盘,将认知沉淀写入长期记忆。识别本次关键决策、教训、未解决问题,转化为可执行洞见。用于用户说"复盘"、"总结"、"认知升级"。
Install via ClawdBot CLI:
clawdbot install liujw0214/cognition-evolutionGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Oct 5, 2026
A management consulting firm automatically captures key lessons, decisions, and open issues at the end of every client meeting or project session. The system distills findings into reusable principles that inform future engagements.
Product managers use the skill after sprint reviews to record which features were prioritized and why, plus any unresolved debates. This creates a searchable knowledge base of decision rationale for onboarding and future roadmap discussions.
Sales teams trigger a retrospective after each prospect call to extract what objections were raised, how they were handled, and what follow-up is needed. These insights feed into a shared playbook that improves win rates.
Lawyers use the skill after client consultations or case strategy meetings to document key decisions, case law insights, and unresolved questions. Over time, this builds a firm-wide repository of tactical lessons and patterns.
Research labs run a cognition-evolution debrief after each group meeting to capture experimental decisions, methodological lessons, and open questions. These entries help new students avoid past mistakes and build on prior insights.
A cloud-based platform that integrates with communication tools to automatically trigger retrospectives and store cognitive deposits. Teams pay a monthly per-seat fee for access to shared knowledge bases and analytics.
An on-premise or private-cloud solution sold to large organizations that need to embed the skill into their existing workflow and compliance systems. Includes customization, training, and support.
The core skill is free for individual users, but advanced features like cross-session analytics, team dashboards, and smart reminders are behind a paid team plan. Drives bottom-up adoption within organizations.
💬 Integration Tip
Integrate the skill as a post-conversation hook in your AI assistant so it triggers automatically after each session ends. Ensure the output format matches your existing memory storage system, and review deposits periodically to keep them actionable.
Scored Oct 5, 2026
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
技能自进化引擎 (Skill Self-Evolution Engine) - 全球AI技能基础设施 从技能进化系统升级为技术底座,支持多平台、多技能协同进化。 实现技能间正向演化飞轮:引擎越厉害 -> 技能同步越厉害 -> 越用越进化。 使用场景: 1. 技能自进化引擎内核管理 2. 跨平台技能同步进化 3....
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, ex...
九章技能进化系统CLI工具 - 自动收集技能使用数据、分析进化需求、生成周报并上报。用于技能自我进化闭环的数据飞轮基础设施。