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qmd-learning-loop

Capture corrections, errors, feature requests, and recurring best practices in a QMD-native way for markdown-first agent workspaces. Use when a user corrects the agent, a command or tool fails, a missing capability is requested, a better recurring approach is discovered, or a lesson should be promoted into durable memory, runbooks, decisions, or workspace guidance without creating a separate .learnings silo.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.1
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qmd-learning-loop

# QMD Learning Loop Capture useful learnings without creating a parallel memory system. Route raw chronology to lightweight logs, durable operational lessons to indexed docs, and stable cross-cutting rules to existing workspace guidance. ## Core workflow 1. Classify the event: - correction - error/failure - feature request - better practice / recurring pattern 2. Choose the lowest-appropriate destination. 3. Prefer updating an existing durable doc over creating a new one. 4. Use QMD-aware discipline: avoid duplicate policy documents. 5. Promote only when the lesson is recurring, cross-cutting, or policy-changing. ## First-pass routing rules ### Correction or misunderstanding - Add chronological context to a daily log or other lightweight memory file when the correction matters. - Promote only if the correction changes a stable rule, behavior, or operating convention. - If promotion is warranted, update the most relevant durable target: - workflow guidance file - tooling notes file - behavior/principles file - decision or policy docs ### Error, tool failure, or command failure - Log immediate chronology in a daily log if the failure matters to continuity. - If the failure is operationally meaningful or recurring, add it to an indexed incident or error log. - If the fix becomes reusable, update or create a runbook. ### Feature request - Add a durable request to an indexed backlog or strategy file. - If the request becomes accepted scope or changes policy, create or update a decision or project doc. ### Better practice or recurring pattern - For workflow/tooling guidance, update a runbook or workspace guidance file. - For durable system rules, create or update a decision memo. - For stable behavior or communication principles, update the relevant behavior/principles file cautiously. ## Second-pass promotion rules Use a second pass when the learning seems durable enough to influence future behavior, policy, or structure. ### Second-pass sequence 1. Check whether the event still matters after the immediate task. 2. Inspect existing durable docs and prefer updating them over creating a new file. 3. Choose the promotion target using `references/promotion-targets.md`. 4. Write the promoted rule concisely and prevention-first. 5. Leave detailed chronology in lightweight logs instead of copying it wholesale into durable docs. ### QMD-aware duplication check Before creating a new durable rule, search the relevant QMD collections or inspect the existing indexed docs for the same topic. Do not create near-duplicate policy or workflow documents. ### Trigger conditions for second-pass promotion Promote when one or more are true: - the issue recurs - it affects multiple tasks or agents - it changes operating policy - it prevents meaningful repeated waste - it defines a stable convention worth retrieving later Do not turn every one-off event into a permanent rule. ## Review loop At natural breakpoints, review captured items and decide whether they should stay chronological, become operational logs, or be promoted into durable guidance. Read `references/review-loop.md` when doing this review. ## Existing-doc first rule Read `references/routing-and-promotion.md` when routing is ambiguous. Read `references/templates.md` when you need starter formats for incident entries, feature requests, lightweight memory capture, or a new decision memo.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 qmd-learning-loop-1776110002 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 qmd-learning-loop-1776110002 技能

通过命令行安装

skillhub install qmd-learning-loop-1776110002

下载 Zip 包

⬇ 下载 qmd-learning-loop v1.0.1

文件大小: 5.29 KB | 发布时间: 2026-4-14 14:05

v1.0.1 最新 2026-4-14 14:05
- Broadened skill description to support all markdown-first agent workspaces, not just Atlas/OpenClaw.
- Generalized documentation and routing guidance for greater compatibility with various workspace structures.
- Updated references from specific Atlas/OpenClaw file paths to more general file categories (e.g., "workflow guidance file" instead of "AGENTS.md").
- Simplified examples to avoid assuming the presence of a particular directory structure.
- No code or functional changes; documentation, terminology, and instructions only.

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