Skills Plugins MCP Prompt Model 博客 我的中心

codebase-memory-quality

This skill should be used when the user asks about "dead code", "find dead code", "detect dead code", "show dead code", "dead code analysis", "unused functions", "find unused functions", "unreachable code", "identify high fan-out functions", "find complex functions", "code quality audit", "find functions nobody calls", "reduce codebase size", "refactor candidates", "cleanup candidates", or needs code quality analysis.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

取得

https://deepseekmodel.com/api/download.php?id=dmnote-app-dmnote-claude-skills-codebase-memory-quality-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name codebase-memory-quality description This skill should be used when the user asks about "dead code", "find dead code", "detect dead code", "show dead code", "dead code analysis", "unused functions", "find unused functions", "unreachable code", "identify high fan-out functions", "find complex functions", "code quality audit", "find functions nobody calls", "reduce codebase size", "refactor candidates", "cleanup candidates", or needs code quality analysis. Code Quality Analysis via Knowledge Graph Use graph degree filtering to find dead code, high-complexity functions, and refactor candidates — all in single tool calls. Workflow Dead Code Detection Find functions with zero inbound CALLS edges, excluding entry points: search_graph( label="Function", relationship="CALLS", direction="inbound", max_degree=0, exclude_entry_points=true ) exclude_entry_points=true removes route handlers, main() , and framework-registered functions that have zero callers by design. Verify Dead Code Candidates Before deleting, verify each candidate truly has no callers: trace_call_path(function_name="SuspectFunction", direction="inbound", depth=1) Also check for read references (callbacks, stored in variables): query_graph(query="MATCH (a)-[r:USAGE]->(b) WHERE b.name = 'SuspectFunction' RETURN a.name, a.file_path LIMIT 10") High Fan-Out Functions (calling 10+ others) These are often doing too much and are refactor candidates: search_graph( label="Function", relationship="CALLS", direction="outbound", min_degree=10 ) High Fan-In Functions (called by 10+ others) These are critical functions — changes have wide impact: search_graph( label="Function", relationship="CALLS", direction="inbound", min_degree=10 ) Files That Change Together (Hidden Coupling) Find files with high git change coupling: query_graph(query="MATCH (a)-[r:FILE_CHANGES_WITH]->(b) WHERE r.coupling_score >= 0.5 RETURN a.name, b.name, r.coupling_score, r.co_change_count ORDER BY r.coupling_score DESC LIMIT 20") High coupling between unrelated files suggests hidden dependencies. Unused Imports search_graph( relationship="IMPORTS", direction="outbound", max_degree=0, label="Module" ) Key Tips search_graph with degree filters has no row cap (unlike query_graph which caps at 200). Use file_pattern to scope analysis to specific directories: file_pattern="**/services/**" . Dead code detection works best after a full index — run index_repository if the project was recently set up. Paginate results with limit and offset — check has_more in the response.
このスキルを起動するキーワード。クリックでコピーできます。

このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。