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기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/ZzjNoMercy/PuddingClaw --skill knowledge-search명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Analyze registered spreadsheet table assets and logical datasets.
Use the local PuddingClaw Worker CLI for enterprise data questions, configured analytics, NL2SQL, knowledge queries, metric analysis, and attribution. Use when the user wants an installed agent such as Pi, OpenClaw, or Codex to delegate a data-analysis task to PuddingClaw. Do not use for public-web research or when the requested data is not configured in PuddingClaw.
List, search, compare, create, or improve semantic Markdown definitions with a business user using natural language and data evidence. Use for semantic Measure/Dimension/Grain/Relation/Analytics Model inventory, discovery, duplicate checks, missing semantics, authoring, or maintenance. Always discover before deciding reuse, edit, or create. All five kinds share one prepare-and-publish protocol; entity_lookup Dimensions use the dedicated builder.
SKILL.md 표시 중
| name | knowledge-search |
| description | Retrieve answers from local document knowledge bases. |
| toolsets | ["knowledge_analysis","feishu_bitable"] |
For document questions, call llamaindex_knowledge_query after activating this
Skill. Reading this file only activates the toolset; it does not perform a
retrieval. Markdown LLM Wiki and GBrain are separate knowledge paths and do not
replace this document-index query. Do not use spreadsheet analysis for PDF or
Markdown content.
Treat one successful retrieval as the authoritative result set for the current
question. Do not follow it with exploratory grep, glob, or ls. The tool
reports text and image hit counts and returns exact /knowledge/... paths. If
the answer needs more source text, call read_file only on the exact linked
Markdown virtual path returned by the retrieval. If a returned image matters,
use its exact virtual path with the image-analysis workflow; never rediscover it
by scanning the knowledge tree.
For a registered Feishu Bitable source, call feishu_bitable_list_sources when
the exact source ID is unknown, then call feishu_bitable_describe to read
its live schema and then feishu_bitable_query for one bounded page. These
tools do not query arbitrary links or persist returned record values.