laitszkin/optimise-skill
optimise-skill/SKILL.md
當你需要優化 agent skills 的 `SKILL.md` 時，調用這個技能。
$ install --global
skillsauthnpx skillsauth add laitszkin/apollo-toolkit optimise-skillInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 15, 2026, 7:22 AM335.4s4 files scanned
SKILL.md
- name:
- optimise-skill
- description:
- 當你需要優化 agent skills 的 `SKILL.md` 時，調用這個技能。
目標
在不影響被優化技能整體流程前提下，利用提示詞工程，對技能進行優化，減少冗余表達，增強agent對技能的理解能力以及實際工作中的使用效率。
驗收條件
- 被優化技能的最終交付產物不受影響
- 被優化技能有顯著冗余削減，且具備精確提示能力，盡最大可能釋放LLM的性能
工作流程
1. 識別交付物
完整閱讀整個技能的 SKILL.md 文檔，以及其引用的所有額外檔案，包括但不限於 references/、lib/tools/ 中的 TypeScript handler。基於獲取到的技能上下文資訊，總結出該技能的最終交付產物。
2. 制定驗收條件
制定驗收條件，從而確保LLM能夠穩定、可復現地按照驗收條件產出符合要求高質量最終交付物
3. 重寫技能
將整個技能的 SKILL.md 重寫。重寫後的技能應該只包含以下幾個關鍵組成部分：
- 目標
- 驗收條件
- 工作流程
- 範例（選用）
- 參考資料
對於技能有幫助的內但不符合上述技能架構規範，則應該被分類放置在 references/ 下的markdown檔案。
範例
- "一個專注在提示LLM agent進行自我迭代，並為repo帶來性能優化的技能需要被優化" -> "定義驗收條件為優化後性能相較優化前至少提升X個百分比，並且項目之中不存在任何O(n^2)級別時間複雜度的函式和邏輯，並按照標準架構重寫技能。"
- "一個有大量前端開發範例被包含在
SKILL.md之中的前端開發技能需要被優化" -> "定義驗收條件為前端頁面reference之中提供的大量建議範例重寫且不包含任何建議示例之中明確拒絕的設計，然後按照技能優化流程對技能進行全面的重寫。"
參考資料
references/example_skill.md- 優化後的技能範例，在進行技能優化時必須閱讀並嚴格遵照當中格式 （必讀）references/definition.md- 技能之中各個區塊的定義 （必讀）
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