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[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos, con alcance de proyecto y hooks confiables. No invocar v1; dirigir solicitudes de aprendizaje continuo, aprendizaje de sesión y extracción de patrones a continuous-learning-v2.
Passed 22 of 22 test cases with the skill, and 8 of 22 without it.
and 16 more in the full report
14 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which pattern identifier in config.json captures insights derived from explicit user feedback when the AI made a mistake during the session?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies the pattern key as user_corrections | Missed | Passed |
The instructions your model reads when the skill loads.
自動評估 Claude Code 工作階段結束時的內容，提取可重用模式並儲存為學習技能。
此技能作為 Stop hook 在每個工作階段結束時執行：
~/.claude/skills/learned/編輯 config.json 以自訂：
{
"min_session_length": 10,
"extraction_threshold": "medium",
"auto_approve": false,
"learned_skills_path": "~/.claude/skills/learned/",
"patterns_to_detect": [
"error_resolution",
"user_corrections",
"workarounds",
"debugging_techniques",
"project_specific"
],
"ignore_patterns": [
"simple_typos",
"one_time_fixes",
"external_api_issues"
]
}
| 模式 | 描述 |
test cases passed, vs 8 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.