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개발 및 엔지니어링 · SKILL.md

query

query

Queries the abap_wiki knowledge base to answer questions about <COMPANY> custom ABAP code (what an object does, which tables it uses, who calls it, dependencies, bugs). Navigates index -> package -> pages; can extend the answer with the SAP <SAP_DEV_SYSTEM> system via MCP abap-fs in read-only mode, explicitly citing wiki vs. system.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: query description: "Queries the abap_wiki knowledge base to answer questions about custom ABAP code (what an object does, which tables it uses, who calls it, dependencies, bugs). Navigates index -> package -> pages; can extend the answer with the SAP <SAP_DEV_SYSTEM> system via MCP abap-fs in read-only mode, explicitly citing wiki vs. system."

Query - querying the knowledge base

Answers technical/functional questions about custom ABAP code using the wiki, with traceability via [[wikilink]].

Strategy

  1. Read abap_wiki/index.md to identify the relevant areas.
  2. Narrow down via abap_wiki/_packages/<DEVCLASS>.md.
  3. Open only the necessary object pages (abap_wiki/<DEVCLASS>/<sap_type>-<NAME>.md), not the entire wiki.
  4. Code details (L1 analysis) are inline in the same object page: scroll through the sections (Summary, Functional scope, Form analysis, Performance, Bug candidates...) and, for mains, "Program structure" (includes) and "Dependencies".
  5. Synthesize using [[wikilink]] for every cited object.

You can also query the DB for quick structural queries:

python core/src/tools/pipeline.py progress --json

or read state/exports/progress.json.

MCP extension (<SAP_DEV_SYSTEM> system, read-only)

When the wiki is not enough (missing or L0 page, need current data, drift check, enriched metadata) you can query the abap-fs server:

  • always read-only;
  • cite the source explicitly: "according to [[program-X]] it uses MSEG; verified via MCP <SAP_DEV_SYSTEM>: also calls MBEW not documented in wiki";
  • if you discover inconsistencies (wiki says X, system says Y) report them and propose an update.

Value preservation

  • A precise answer of lasting interest -> propose saving it to output/reports/<topic>-<YYYYMMDD>.md.
  • Stable knowledge about an object/flow -> propose promotion (L1 analysis via ingest-l1, or the L2 process when available).

Tracking (operational log)

At the end of the query, record the operation in the event log (so it appears in log.md, the append-only history view - CLAUDE.md §13):

python core/src/tools/pipeline.py log-op --type query --note "<question summary>" [--package <DEVCLASS>]

One concise line, not the full answer. This is write-only on the events table (no changes to pages or raw/).

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