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Capture important architectural decisions, bug patterns, feature designs, or other critical findings into the project knowledge base. Use proactively when significant technical decisions are made, non-obvious bugs are resolved, new subsystems are designed, or important product features are discussed.

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astashov/liftosaur星标 761(GitHub 761 + cccskills 0)

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包含的文件(1)

  • SKILL.md2.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Knowledge Base Capture

Capture this into the knowledge base: $ARGUMENTS

Knowledge Base Location

All files live in lambda/scripts/memory/. The index is at lambda/scripts/memory/INDEX.md.

Step 1: Read the current index

Read lambda/scripts/memory/INDEX.md to understand what's already captured and avoid duplicates.

Step 2: Choose a category

CategoryDirectoryWhen to use
Architecturearchitecture/System design, infrastructure, sync protocols, data formats, tech stack choices
Decisionsdecisions/"We chose X over Y because Z" — explicit tradeoff analysis
Featuresfeatures/Product feature descriptions, UX designs, user-facing behavior
Bugsbugs/Non-obvious bug root causes, debugging patterns worth remembering
Future Plansfutureplans/Planned work not yet started — roadmap items, RFCs for future features
SEOseo/SEO research, keyword analysis, backlink data, Core Web Vitals

If none fit, create a new category directory and add a section to INDEX.md.

Step 3: Create the entry file

Filename: lowercase-kebab-case, descriptive. Example: watch-echo-loop-bug.md

Entry format:

---
date: YYYY-MM-DD
tags: [relevant, tags]
---
# Title

Concise description of the finding/decision/pattern.
Keep it 5-20 lines. Link to relevant source files where useful.
Focus on the WHY and the non-obvious parts — assume the reader is a developer familiar with the codebase.

Step 4: Update INDEX.md

Add a one-liner entry under the appropriate category heading:

- [filename.md](category/filename.md) — concise one-liner (max 80 chars)

Keep entries sorted by relevance within each category (most important first), not by date.

When to auto-invoke this skill

Capture knowledge when ANY of these happen during a conversation:

  • An architectural decision is made (chose X over Y)
  • A non-obvious bug root cause is discovered
  • A new subsystem or data format is designed
  • A significant refactor changes how something works
  • The user discusses product strategy or feature scope
  • Performance investigation reveals important findings
  • A workaround for an external limitation is implemented

Do NOT capture:

  • Routine code changes (rename variable, fix typo)
  • Information already in the knowledge base
  • Temporary debugging steps
  • Anything the user explicitly says is experimental/throwaway

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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