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self-improving-agent

Enables continuous self-improvement through learning from failures, user corrections, and capability gaps. Integrates with QAVR for learned memory ranking.

DeepseekModel 官方收录技能 质量 良好 · 48 v1.0.0

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https://deepseekmodel.com/api/download.php?id=kimasplund-clawdbot-skills-pack-self-improving-agent-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name self-improving-agent description Enables continuous self-improvement through learning from failures, user corrections, and capability gaps. Integrates with QAVR for learned memory ranking. user-invocable true Self-Improving Agent Captures learnings, errors, and corrections to enable continuous improvement across sessions. Activation Triggers This skill automatically activates when: Trigger What Gets Logged Location Command fails Error type, context, recovery suggestion logs/failures_detailed.jsonl User corrects "No, that's wrong...", "Actually..." logs/corrections.jsonl Missing capability "Can you X?" where X isn't available logs/missing_capabilities.jsonl API/tool fails Failure pattern, suggested fix logs/failures_detailed.jsonl Better approach found Optimization learned logs/learnings.jsonl How It Works 1. Automatic Logging (via hooks) PostToolUse → enhanced-failure-logger.js → logs failures with context UserMessage → correction-detector.js → detects "wrong/actually/try again" Response → capability-tracker.js → detects unfulfilled requests 2. Learning Aggregation All learnings flow to logs/learnings.jsonl : { "timestamp" : "2026-01-26T12:00:00Z" , "type" : "user_correction|tool_failure|missing_capability" , "category" : "factual_error|command_failed|web_browsing" , "description" : "what was learned" , "source" : "which detector" } 3. Session Start Review On each session start, recent learnings are shown: === Learning Review === [Learnings] 47 total entries [Recent] • [tool_failure] Bash failed: timeout - WebFetch to external API... • [user_correction] User corrected: "No, use the other file..." [Corrections] 12 user corrections logged [Capability Gaps] Top requested: • send emails (5x) • browse web (3x) 4. QAVR Integration Successful learnings boost Q-values for related memories, improving future retrieval. Manual Commands Review Learnings # Show all learnings cat ~/.claude/logs/learnings.jsonl | tail -20 # Show corrections only cat ~/.claude/logs/corrections.jsonl | jq -s 'group_by(.correction_type) | map({type: .[0].correction_type, count: length})' # Show capability gaps report node ~/.claude/scripts/hooks/capability-tracker.js --report Test Detection # Test correction detector node ~/.claude/scripts/hooks/correction-detector.js # Test failure logger node ~/.claude/scripts/hooks/enhanced-failure-logger.js # Test capability tracker node ~/.claude/scripts/hooks/capability-tracker.js Learning Categories Correction Types factual_error - Wrong information provided retry_request - User asked to try again misunderstanding - Misinterpreted the request failed_solution - Solution didn't work Failure Types permission_error - Access denied not_found - File/resource missing timeout - Operation timed out network_error - Connection issues syntax_error - Invalid syntax api_error - External API failed command_failed - Shell command failed agent_failed - Subagent failed Capability Categories web_browsing - Internet access requests image_processing - Image/photo handling communication - Email/messaging database_access - SQL/database queries external_api - Third-party services memory_persistence - Long-term memory Configuration In settings.json , these hooks enable self-improvement: { "hooks" : { "SessionStart" : [ ... ] , // Reviews learnings "PostToolUse" : [ { "matcher" : "Bash" , "hooks" : [ { "command" : "enhanced-failure-logger.js" } ] } , { "matcher" : "Task" , "hooks" : [ { "command" : "enhanced-failure-logger.js" } ] } ] } } Benefits Learn from mistakes - Don't repeat the same errors Understand user preferences - Track what corrections mean Identify skill gaps - Know what features to build Improve over time - QAVR ranking gets better with feedback Context persistence - Learnings survive session restarts Integration with Other Skills Skill Integration QAVR Successful learnings boost memory Q-values Memory Consolidation Periodic cleanup of old learnings Confidence Check Review learnings before major tasks IR-v2 Use learnings to inform pattern selection Files ~/.claude/ ├── logs/ │ ├── learnings.jsonl # All learnings │ ├── corrections.jsonl # User corrections │ ├── failures_detailed.jsonl # Enhanced failure logs │ ├── missing_capabilities.jsonl # Capability requests │ └── capability_gaps.json # Aggregated gaps └── scripts/hooks/ ├── correction-detector.js ├── enhanced-failure-logger.js ├── capability-tracker.js └── session-start.js (reviews learnings)
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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