{"id":1824,"date":"2026-09-22T15:38:13","date_gmt":"2026-09-22T07:38:13","guid":{"rendered":"https:\/\/www.liujh168.com\/index.php\/2026\/09\/22\/20260922-003\/"},"modified":"2026-09-22T15:38:13","modified_gmt":"2026-09-22T07:38:13","slug":"20260922-003","status":"publish","type":"post","link":"https:\/\/www.liujh168.com\/index.php\/2026\/09\/22\/20260922-003\/","title":{"rendered":"Skill\u505a\u6210Markdown"},"content":{"rendered":"

\u628a Skill \u505a\u6210 Markdown \u6587\u4ef6\uff1aAgent \u6846\u67b6\u7684”\u4f4e\u4ee3\u7801”\u8bbe\u8ba1\u51b3\u7b56<\/h1>\n
\n

\u4f5c\u8005\uff1aAgent Dev \u5b9e\u8df5\u7b14\u8bb0 | \u53d1\u5e03\u65e5\u671f\uff1a2026-09-21 | \u6807\u7b7e\uff1aAgent, Skill, Markdown, \u4f4e\u4ee3\u7801, Routing<\/p>\n

<\/p>\n<\/blockquote>\n

\n

\u5f15\u5b50<\/h2>\n

\u4f60\u6709\u6ca1\u6709\u60f3\u8fc7\uff1a\u5982\u679c\u4f60\u7684 Agent \u53ef\u4ee5”\u6839\u636e\u7528\u6237\u8f93\u5165\u81ea\u52a8\u5207\u6362\u5de5\u4f5c\u6a21\u5f0f”\uff0c\u5b83\u4f1a\u662f\u4ec0\u4e48\u6837\uff1f<\/p>\n

\u6bd4\u5982\uff1a
\n– \u7528\u6237\u8bf4”\u5e2e\u6211\u89c4\u5212\u5e76\u5199\u4e00\u7bc7\u5173\u4e8e AI Agent \u7684\u79d1\u666e\u6587\u7ae0” \u2192 Agent \u81ea\u52a8\u8fdb\u5165”\u89c4\u5212-\u8c03\u7814-\u5206\u6b65\u9aa4\u5199\u4f5c-\u4ea4\u4ed8”\u6a21\u5f0f
\n– \u7528\u6237\u8bf4”\u8ba1\u7b97\u4e00\u4e0b 2^20 \u662f\u591a\u5c11” \u2192 Agent \u53ea\u8c03 calculator \u5de5\u5177\uff0c\u7b97\u5b8c\u7ed9\u7b54\u6848
\n– \u7528\u6237\u8bf4”\u6211\u60f3\u4e86\u89e3\u4e00\u4e0b” \u2192 Agent \u8fdb\u5165”RAG \u68c0\u7d22 + \u77e5\u8bc6\u56de\u7b54”\u6a21\u5f0f<\/p>\n

\u4e0a\u9762\u8fd9\u4e09\u79cd\u573a\u666f\uff0c\u5de5\u5177\u4e0d\u4e00\u6837\u3001Prompt \u4e0d\u4e00\u6837\u3001\u8fed\u4ee3\u6b21\u6570\u4e5f\u4e0d\u4e00\u6837\u3002\u600e\u4e48\u5b9e\u73b0\uff1f<\/p>\n

\u4e09\u79cd\u5e38\u89c1\u505a\u6cd5<\/h3>\n

\u505a\u6cd5 A\uff1a\u5168\u90e8\u9760\u4e00\u4e2a\u5de8\u5927\u7684 System Prompt + LLM \u81ea\u5df1\u5224\u65ad<\/strong><\/p>\n

\n
<\/span>SYSTEM_PROMPT<\/span> =<\/span> """\u4f60\u662f\u4e00\u4e2a\u4e07\u80fd\u52a9\u624b\u3002<\/span>\n\u5982\u679c\u7528\u6237\u8bf4\u89c4\u5212 \u2192 \u7528 plan_task\uff1b<\/span>\n\u5982\u679c\u7528\u6237\u8bf4\u8ba1\u7b97 \u2192 \u7528 calculator\uff1b<\/span>\n\u5982\u679c\u7528\u6237\u8bf4\u67e5\u77e5\u8bc6 \u2192 \u7528 search_knowledge\uff1b<\/span>\n\u5982\u679c\u7528\u6237\u8bf4..."""<\/span>\n<\/code><\/pre>\n<\/div>\n
\u95ee\u9898\uff1aPrompt \u8d8a\u6765\u8d8a\u957f\uff0c\u8def\u7531\u6307\u4ee4\u8d8a\u591a LLM \u8d8a\u5bb9\u6613\u6f0f\u770b\uff1b\u6240\u6709\u5de5\u5177\u59cb\u7ec8\u4e00\u6b21\u6027\u66b4\u9732\u7ed9 LLM\uff0821 \u4e2a\u5de5\u5177\u8ba9\u5b83\u9009\u4e00\u4e2a\uff0c\u5b83\u4f1a\u72b9\u8c6b\u5f88\u4e45\uff09\u3002<\/p>\n
\u505a\u6cd5 B\uff1a\u786c\u7f16\u7801\u6761\u4ef6\u5206\u652f<\/strong><\/p>\n
\n
<\/span>if<\/span> "\u89c4\u5212"<\/span> in<\/span> user_input<\/span>:<\/span>\n    prompt<\/span> =<\/span> PLAN_PROMPT<\/span>\n    tools<\/span> =<\/span> PLAN_TOOLS<\/span>\nelif<\/span> "\u8ba1\u7b97"<\/span> in<\/span> user_input<\/span>:<\/span>\n    prompt<\/span> =<\/span> CALC_PROMPT<\/span>\n    tools<\/span> =<\/span> [<\/span>"calculator"<\/span>]<\/span>\n# ...<\/span>\n<\/code><\/pre>\n<\/div>\n
\u95ee\u9898\uff1a\u6bcf\u52a0\u4e00\u4e2a”\u573a\u666f”\u90fd\u8981\u6539 Python \u4ee3\u7801\u3001\u52a0\u5206\u652f\u3001\u91cd\u542f\u3002\u975e\u5f00\u53d1\u8005\uff08\u4ea7\u54c1\u7ecf\u7406\u3001\u884c\u4e1a\u4e13\u5bb6\uff09\u6839\u672c\u65e0\u6cd5\u8d21\u732e\u65b0\u573a\u666f\u3002<\/p>\n
\u505a\u6cd5 C\uff08\u6211\u4eec\u9009\u7684\uff09\uff1aSkill = Markdown \u6587\u4ef6<\/strong><\/p>\n
\u8ba9 Skill \u53d8\u6210\u4e00\u4e2a\u58f0\u660e\u5f0f\u3001\u53ef\u72ec\u7acb\u7ef4\u62a4\u3001\u975e\u5f00\u53d1\u8005\u4e5f\u80fd\u5199<\/strong>\u7684\u5355\u5143\u3002\u65b0\u589e\u4e00\u4e2a Skill = \u5728 skills\/<\/code> \u76ee\u5f55\u4e0b\u52a0\u4e00\u4e2a .md<\/code> \u6587\u4ef6\uff0c\u91cd\u542f Agent \u81ea\u52a8\u52a0\u8f7d\u3002<\/p>\n
\u8fd9\u7bc7\u6587\u7ae0\u5c31\u6765\u8bb2 Skill \u7684\u8bbe\u8ba1\u2014\u2014\u4e3a\u4ec0\u4e48\u9009 Markdown Frontmatter\u3001\u5173\u952e\u8bcd\u8def\u7531\u600e\u4e48\u5b9e\u73b0\u3001Skill \u6fc0\u6d3b\u65f6\u5230\u5e95\u53d1\u751f\u4e86\u4ec0\u4e48\u3002<\/p>\n
\n
\u4e00\u3001\u5148\u5efa\u7acb\u8ba4\u77e5\uff1aTool vs Skill<\/h2>\n\n\n\n\n\n\n\n\n\n\n
\u7ef4\u5ea6<\/th>\nTool\uff08\u5de5\u5177\uff09<\/th>\nSkill\uff08\u6280\u80fd\uff09<\/th>\n<\/tr>\n<\/thead>\n
\u5b9a\u4e49\u65b9\u5f0f<\/td>\nPython \u51fd\u6570 + OpenAI Function Schema<\/td>\nMarkdown \u6587\u4ef6 + YAML Frontmatter<\/td>\n<\/tr>\n
\u7c92\u5ea6<\/td>\n\u539f\u5b50\u64cd\u4f5c\uff08\u67e5\u5929\u6c14\u3001\u7b97\u6570\u5b66\u3001\u8bfb\u6587\u4ef6\uff09<\/td>\n\u590d\u5408\u5de5\u4f5c\u6d41\uff08\u89c4\u5212\u8c03\u7814\u2192\u5206\u6b65\u9aa4\u6267\u884c\u2192\u4ea4\u4ed8\uff09<\/td>\n<\/tr>\n
\u89e6\u53d1\u65b9\u5f0f<\/td>\nLLM \u5728\u5de5\u5177\u5217\u8868\u91cc\u81ea\u7531\u9009\u62e9<\/td>\n\u5173\u952e\u8bcd\u5339\u914d \u2192 \u81ea\u52a8\u6fc0\u6d3b<\/td>\n<\/tr>\n
Prompt<\/td>\n\u5168\u90e8\u5171\u4eab\u540c\u4e00\u4e2a SYSTEM_PROMPT<\/td>\n\u6fc0\u6d3b\u65f6\u5b8c\u5168\u66ff\u6362<\/strong> system prompt<\/td>\n<\/tr>\n
\u5de5\u5177\u53ef\u89c1\u6027<\/td>\n\u4e00\u6b21\u6027\u66b4\u9732\u5168\u90e8 21 \u4e2a<\/td>\n\u53ea\u66b4\u9732 Skill \u58f0\u660e\u7684 required_tools<\/code><\/td>\n<\/tr>\n
\u8fed\u4ee3\u4e0a\u9650<\/td>\n\u5168\u5c40 max_iterations=5<\/code><\/td>\nSkill \u53ef\u4ee5\u81ea\u5b9a\u4e49 max_rounds<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\u4e00\u53e5\u8bdd\u6982\u62ec\uff1aTool \u662f\u624b\uff0cSkill \u662f\u4e00\u5957\u7f16\u6392\u597d\u7684”\u624b\u811a\u914d\u5408\u52a8\u4f5c”<\/strong>\u3002<\/p>\n
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\u4e8c\u3001Skill \u6587\u4ef6\u957f\u4ec0\u4e48\u6837<\/h2>\n
\u5148\u770b\u4e00\u4e2a\u771f\u5b9e\u4f8b\u5b50\u2014\u2014skills\/example_plan.md<\/code>\uff1a<\/p>\n
\n
<\/span>---\nname: plan_and_write\ndescription: \u628a\u590d\u6742\u4efb\u52a1\u62c6\u89e3\u4e3a\u6709\u5e8f\u5b50\u4efb\u52a1\u5e76\u9010\u4e2a\u5b8c\u6210\uff0c\u4ea7\u51fa\u7ed3\u6784\u5316\u6210\u679c\ntrigger_keywords:\n  <\/span>-<\/span> <\/span>\u89c4\u5212\n  <\/span>-<\/span> <\/span>\u89c4\u5212\u4e00\u4e0b\n  <\/span>-<\/span> <\/span>\u89c4\u5212\u5e76\u5199\n  <\/span>-<\/span> <\/span>\u89c4\u5212\u4efb\u52a1\n  <\/span>-<\/span> <\/span>\u89c4\u5212\u65b9\u6848\n  <\/span>-<\/span> <\/span>\u62c6\u89e3\n  <\/span>-<\/span> <\/span>\u62c6\u89e3\u4e00\u4e0b\n  <\/span>-<\/span> <\/span>\u62c6\u89e3\u590d\u6742\n  <\/span>-<\/span> <\/span>\u5206\u6b65\u9aa4\n  <\/span>-<\/span> <\/span>\u5199\u5927\u7eb2\n  <\/span>-<\/span> <\/span>plan\n  <\/span>-<\/span> <\/span>outline\nrequired_tools:\n  <\/span>-<\/span> <\/span>search_knowledge\n  <\/span>-<\/span> <\/span>web_search\n  <\/span>-<\/span> <\/span>file_write\n  <\/span>-<\/span> <\/span>file_read\n  <\/span>-<\/span> <\/span>extract_structured\nmax_rounds: 5\nentry_mode: auto<\/span>\n---<\/span>\n\n## \u4f60\u662f\u4e00\u4e2a\u4e13\u4e1a\u4efb\u52a1\u89c4\u5212\u4e0e\u6267\u884c\u8005<\/span>\n\n### \u5de5\u4f5c\u6d41<\/span>\n1.<\/span> **\u660e\u786e\u8303\u56f4**<\/span>\uff1a\u5982\u679c\u7528\u6237\u6ca1\u6709\u8bf4\u6e05\u695a\u5177\u4f53\u8981\u6c42\uff08\u6bd4\u5982\u6587\u7ae0\u4e3b\u9898\u3001\u5b57\u6570\u3001\u8bfb\u8005\u753b\u50cf\uff09\uff0c\u5148\u7528\u4e00\u53e5\u8bdd\u53cd\u95ee\u786e\u8ba4\n2.<\/span> **\u591a\u8def\u8c03\u7814**<\/span>\uff1a\n   <\/span>-<\/span> <\/span>\u4f18\u5148\u67e5\u672c\u5730\u77e5\u8bc6\u5e93\uff08search_knowledge\uff09\u83b7\u53d6\u57fa\u7840\u6982\u5ff5\u548c\u5df2\u6709\u8d44\u6599\n   <\/span>-<\/span> <\/span>\u8865\u5145\u4e92\u8054\u7f51\u641c\u7d22\uff08web_search\uff09\u83b7\u53d6\u6700\u65b0\u4fe1\u606f\u548c\u4e0d\u540c\u89c2\u70b9\n   <\/span>-<\/span> <\/span>\u4ea4\u53c9\u5bf9\u6bd4\uff0c\u6807\u6ce8\u4fe1\u606f\u6765\u6e90\n3.<\/span> **\u5206\u6b65\u9aa4\u6267\u884c**<\/span>\uff1a\n   <\/span>-<\/span> <\/span>\u6bcf\u4e2a\u5b50\u4efb\u52a1\u72ec\u7acb\u5b8c\u6210\uff0c\u4e0d\u8981\u4e00\u53e3\u6c14\u8f93\u51fa\u5168\u90e8\u5185\u5bb9\n   <\/span>-<\/span> <\/span>\u5b50\u4efb\u52a1\u4e4b\u95f4\u7d2f\u79ef\u4e0a\u4e0b\u6587\uff0c\u907f\u514d\u91cd\u590d\u52b3\u52a8\n   <\/span>-<\/span> <\/span>\u7528 extract_structured \u63d0\u53d6\u5173\u952e\u6570\u636e\u70b9\uff0c\u7528 file_write \u4fdd\u5b58\u9636\u6bb5\u6027\u6210\u679c\n4.<\/span> **\u6700\u7ec8\u4ea4\u4ed8**<\/span>\uff1a\n   <\/span>-<\/span> <\/span>\u7528 file_write \u4fdd\u5b58\u5b8c\u6574\u6210\u679c\u5230\u672c\u5730\u6587\u4ef6\n   <\/span>-<\/span> <\/span>\u8fd4\u56de\u6587\u4ef6\u8def\u5f84 + \u6838\u5fc3\u8981\u70b9\u6458\u8981\n\n### \u6ce8\u610f\u4e8b\u9879<\/span>\n-<\/span> <\/span>\u5de5\u5177\u8c03\u7528\u5931\u8d25\u65f6\u8981\u7075\u6d3b\u964d\u7ea7\uff1asearch_knowledge \u8fd4\u56de"\u4e0d\u53ef\u7528"\u2192 \u6362 web_search\n-<\/span> <\/span>\u6bcf\u4e2a\u5b50\u4efb\u52a1\u7684\u4ea7\u51fa\u8981\u5177\u4f53\u53ef\u6267\u884c\uff0c\u4e0d\u8981\u5199\u7a7a\u6cdb\u7684\u5957\u8bdd\n-<\/span> <\/span>\u4e0d\u8981\u8ba9\u7528\u6237\u7b49\u592a\u4e45\uff0c\u5230 max_rounds \u65f6\u4ea4\u4ed8\u9636\u6bb5\u6027\u6210\u679c\u4e5f\u6bd4\u8d85\u65f6\u597d\n<\/code><\/pre>\n<\/div>\n
\u5c31\u8fd9\u4e48\u7b80\u5355\u3002Frontmatter \u91cc\u5199\u5143\u6570\u636e\uff08\u540d\u5b57\u3001\u89e6\u53d1\u8bcd\u3001\u9700\u8981\u54ea\u4e9b\u5de5\u5177\u3001\u8fed\u4ee3\u4e0a\u9650\uff09\uff0cMarkdown \u6b63\u6587\u5c31\u662f Skill \u6fc0\u6d3b\u65f6\u5b8c\u5168\u66ff\u6362<\/strong>\u6389\u539f\u6765 System Prompt \u7684\u5185\u5bb9\u3002<\/p>\n
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\u4e09\u3001\u4e3a\u4ec0\u4e48\u9009 Markdown Frontmatter<\/h2>\n
\u4e0d\u662f YAML\uff0c\u4e0d\u662f JSON Schema\uff0c\u4e0d\u662f TOML\u3002\u539f\u56e0\u6709\u4e09\u4e2a\uff1a<\/p>\n
3.1 \u96f6\u5916\u90e8\u4f9d\u8d56<\/h3>\n
\u6211\u4eec\u7528\u4e00\u4e2a\u6b63\u5219\u8868\u8fbe\u5f0f\u89e3\u6790 Frontmatter\uff0c\u4e0d\u5f15\u5165 PyYAML<\/strong>\uff1a<\/p>\n
\n
<\/span># skill.py \u2014 \u6574\u4e2a Skill \u5b9a\u4e49\u6587\u4ef6\u7684\u89e3\u6790\u5165\u53e3<\/span>\n_FM_RE<\/span> =<\/span> re<\/span>.<\/span>compile<\/span>(<\/span>r<\/span>"^---\\s*\\n(.*?)\\n---\\s*\\n(.*)$"<\/span>,<\/span> re<\/span>.<\/span>DOTALL<\/span>)<\/span>\n\ndef<\/span> <\/span>_parse_md<\/span>(<\/span>file_path<\/span>:<\/span> str<\/span>)<\/span> -><\/span> SkillDef<\/span>:<\/span>\n    with<\/span> open<\/span>(<\/span>file_path<\/span>,<\/span> encoding<\/span>=<\/span>"utf-8"<\/span>)<\/span> as<\/span> f<\/span>:<\/span>\n        content<\/span> =<\/span> f<\/span>.<\/span>read<\/span>()<\/span>\n    fm_match<\/span> =<\/span> _FM_RE<\/span>.<\/span>match<\/span>(<\/span>content<\/span>)<\/span>\n    if<\/span> not<\/span> fm_match<\/span>:<\/span>\n        raise<\/span> ValueError<\/span>(<\/span>f<\/span>"\u7f3a\u5c11 Frontmatter \u7684 --- \u5206\u9694: <\/span>{<\/span>file_path<\/span>}<\/span>"<\/span>)<\/span>\n    fm_text<\/span> =<\/span> fm_match<\/span>.<\/span>group<\/span>(<\/span>1<\/span>)<\/span>\n    instructions<\/span> =<\/span> fm_match<\/span>.<\/span>group<\/span>(<\/span>2<\/span>)<\/span>.<\/span>strip<\/span>()<\/span>  # \u2190 Markdown \u6b63\u6587\u76f4\u63a5\u5f53 system prompt<\/span>\n    meta<\/span> =<\/span> _parse_frontmatter<\/span>(<\/span>fm_text<\/span>)<\/span>\n    return<\/span> SkillDef<\/span>(<\/span>\n        name<\/span>=<\/span>meta<\/span>.<\/span>get<\/span>(<\/span>"name"<\/span>,<\/span> ""<\/span>),<\/span>\n        trigger_keywords<\/span>=<\/span>tuple<\/span>(<\/span>meta<\/span>.<\/span>get<\/span>(<\/span>"trigger_keywords"<\/span>,<\/span> [])),<\/span>\n        required_tools<\/span>=<\/span>tuple<\/span>(<\/span>meta<\/span>.<\/span>get<\/span>(<\/span>"required_tools"<\/span>,<\/span> [])),<\/span>\n        max_rounds<\/span>=<\/span>int<\/span>(<\/span>meta<\/span>.<\/span>get<\/span>(<\/span>"max_rounds"<\/span>,<\/span> 5<\/span>)),<\/span>\n        instructions<\/span>=<\/span>instructions<\/span>,<\/span>\n        source_path<\/span>=<\/span>file_path<\/span>,<\/span>\n    )<\/span>\n<\/code><\/pre>\n<\/div>\n
PyYAML \u4f53\u79ef\u7ea6 2MB\uff0c\u5f15\u5165\u5b83\u53ea\u4e3a\u4e86\u89e3\u6790\u51e0\u4e2a Skill \u6587\u4ef6\uff0c\u4e0d\u5212\u7b97\u3002<\/p>\n
3.2 \u975e\u5f00\u53d1\u8005\u53ef\u5199<\/h3>\n
\u4ea7\u54c1\u7ecf\u7406\u3001\u884c\u4e1a\u4e13\u5bb6\u3001\u9886\u57df\u4e13\u5bb6\u53ef\u80fd\u4e0d\u4f1a\u5199 Python\uff0c\u4f46\u4f1a\u5199 Markdown<\/strong>\u3002\u4ed6\u4eec\u53ef\u4ee5\u76f4\u63a5\u5728 VSCode \/ Obsidian \/ Notion \u91cc\u5199 Skill \u5b9a\u4e49\uff0c\u4fdd\u5b58\u4e3a .md<\/code> \u6587\u4ef6\u653e\u8fdb skills\/<\/code> \u76ee\u5f55\uff0cAgent \u4e0b\u6b21\u542f\u52a8\u81ea\u52a8\u52a0\u8f7d\u3002<\/p>\n
3.3 Markdown \u6b63\u6587\u5c31\u662f Prompt<\/h3>\n
Frontmatter \u4e0b\u65b9\u7684 Markdown \u6b63\u6587\uff0c\u6211\u4eec\u76f4\u63a5\u5f53 System Prompt \u7528\u3002\u4f60\u53ef\u4ee5\u7528 ##<\/code> \u5206\u7ae0\u8282\u3001\u7528 -<\/code> \u5217\u6e05\u5355\u3001\u7528\u4ee3\u7801\u5757\u7ed9 LLM \u63d0\u4f9b few-shot \u793a\u4f8b\u2014\u2014\u8fd9\u4e9b Markdown \u8bed\u6cd5 LLM \u5929\u7136\u80fd\u7406\u89e3\uff08\u5b83\u5c31\u662f\u7528 Markdown \u8bad\u7ec3\u7684\uff09\u3002<\/p>\n
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\u56db\u3001\u5173\u952e\u8bcd\u8def\u7531\u600e\u4e48\u5b9e\u73b0<\/h2>\n
Skill \u52a0\u8f7d\u540e\uff0c\u7528\u6237\u8f93\u5165\u6765\u4e86\uff0c\u6211\u4eec\u9700\u8981\u5224\u65ad”\u8be5\u6fc0\u6d3b\u54ea\u4e2a Skill”\u3002\u6211\u4eec\u6ca1\u6709\u7528 LLM meta-routing\uff08\u8ba9 LLM \u4ece\u5019\u9009\u91cc\u9009\uff09\u2014\u2014\u90a3\u6837\u6bcf\u6b21\u591a\u4e00\u6b21 API \u8c03\u7528\u3002\u6211\u4eec\u7528\u7684\u662f\u7eaf\u5b57\u7b26\u4e32\u5339\u914d + \u6253\u5206\u7b97\u6cd5<\/strong>\uff0c\u5fae\u79d2\u7ea7\u5b8c\u6210\u3002<\/p>\n
4.1 \u6838\u5fc3\u7b97\u6cd5<\/h3>\n
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<\/span># skill.py match() \u2014 \u7b80\u5316\u7248<\/span>\ndef<\/span> <\/span>match<\/span>(<\/span>self<\/span>,<\/span> user_input<\/span>:<\/span> str<\/span>)<\/span> -><\/span> SkillDef<\/span> |<\/span> None<\/span>:<\/span>\n    best_score<\/span> =<\/span> 0.0<\/span>\n    best_skill<\/span> =<\/span> None<\/span>\n    user_lower<\/span> =<\/span> user_input<\/span>.<\/span>lower<\/span>()<\/span>\n    input_len<\/span> =<\/span> max<\/span>(<\/span>len<\/span>(<\/span>user_input<\/span>),<\/span> 1<\/span>)<\/span>\n\n    for<\/span> skill<\/span> in<\/span> self<\/span>.<\/span>skills<\/span>.<\/span>values<\/span>():<\/span>\n        # 1. \u5b50\u4e32\u5339\u914d\uff08\u4e0d\u533a\u5206\u5927\u5c0f\u5199\uff09<\/span>\n        matched_keywords<\/span> =<\/span> [<\/span>kw<\/span> for<\/span> kw<\/span> in<\/span> skill<\/span>.<\/span>trigger_keywords<\/span>\n                            if<\/span> kw<\/span> and<\/span> kw<\/span>.<\/span>lower<\/span>()<\/span> in<\/span> user_lower<\/span>]<\/span>\n        if<\/span> not<\/span> matched_keywords<\/span>:<\/span>\n            continue<\/span>\n\n        # 2. \u8ba1\u7b97"\u5173\u952e\u8bcd\u8986\u76d6\u5b57\u7b26\u6570"<\/span>\n        covered_positions<\/span> =<\/span> set<\/span>()<\/span>\n        for<\/span> keyword<\/span> in<\/span> matched_keywords<\/span>:<\/span>\n            # \u627e\u5230\u6240\u6709\u51fa\u73b0\u4f4d\u7f6e\uff08\u53bb\u91cd\u91cd\u53e0\uff09<\/span>\n            start<\/span> =<\/span> 0<\/span>\n            while<\/span> True<\/span>:<\/span>\n                found<\/span> =<\/span> user_lower<\/span>.<\/span>find<\/span>(<\/span>keyword<\/span>,<\/span> start<\/span>)<\/span>\n                if<\/span> found<\/span> <<\/span> 0<\/span>:<\/span>\n                    break<\/span>\n                covered_positions<\/span>.<\/span>update<\/span>(<\/span>range<\/span>(<\/span>found<\/span>,<\/span> found<\/span> +<\/span> len<\/span>(<\/span>keyword<\/span>)))<\/span>\n                start<\/span> =<\/span> found<\/span> +<\/span> 1<\/span>\n\n        hit_chars<\/span> =<\/span> len<\/span>(<\/span>covered_positions<\/span>)<\/span>\n        score<\/span> =<\/span> hit_chars<\/span> \/<\/span> input_len<\/span>       # \u5206\u6570 = \u547d\u4e2d\u5b57\u7b26 \/ \u603b\u5b57\u7b26<\/span>\n\n        # 3. \u591a\u5173\u952e\u8bcd\u5956\u52b1\uff08\u22652 \u4e2a\u540c\u65f6\u547d\u4e2d \u00d7 1.3\uff09<\/span>\n        hit_count<\/span> =<\/span> len<\/span>(<\/span>set<\/span>(<\/span>matched_keywords<\/span>))<\/span>\n        if<\/span> hit_count<\/span> >=<\/span> 2<\/span>:<\/span>\n            score<\/span> *=<\/span> 1.3<\/span>\n\n        # 4. \u9608\u503c\uff1a\u5fc5\u987b > 0.3 \u624d\u7b97\u6709\u6548\u547d\u4e2d<\/span>\n        if<\/span> score<\/span> ><\/span> best_score<\/span> and<\/span> score<\/span> ><\/span> 0.3<\/span>:<\/span>\n            best_score<\/span> =<\/span> score<\/span>\n            best_skill<\/span> =<\/span> skill<\/span>\n\n    return<\/span> best_skill<\/span>\n<\/code><\/pre>\n<\/div>\n
4.2 \u5b9e\u9645\u6253\u5206\u793a\u4f8b<\/h3>\n
\u5047\u8bbe\u7528\u6237\u8f93\u5165\uff1a”\u5e2e\u6211\u89c4\u5212\u5e76\u5199\u4e00\u7bc7\u5173\u4e8e AI Agent \u7684\u6587\u7ae0\u5927\u7eb2”\uff08\u5171 28 \u5b57\u7b26\uff09<\/p>\n\n\n\n\n\n\n
Skill<\/th>\n\u89e6\u53d1\u8bcd<\/th>\n\u547d\u4e2d<\/th>\n\u8986\u76d6\u5b57\u7b26<\/th>\n\u57fa\u7840\u5206<\/th>\n\u591a\u8bcd\u5956\u52b1<\/th>\n\u6700\u7ec8\u5206<\/th>\n<\/tr>\n<\/thead>\n
plan_and_write<\/td>\n\u89c4\u5212\u3001\u89c4\u5212\u5e76\u5199\u3001\u5199\u5927\u7eb2<\/td>\n\u2705<\/td>\n13 \u5b57\u7b26<\/td>\n13\/28 = 0.464<\/td>\n\u00d7 1.3 \u2192 0.603<\/td>\n\u2705 \u6fc0\u6d3b<\/td>\n<\/tr>\n
search_rag<\/td>\n\u67e5\u77e5\u8bc6\u5e93\u3001RAG<\/td>\n\u274c<\/td>\n0<\/td>\n–<\/td>\n–<\/td>\n–<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n