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ingest-l0

Sterne37

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Aktualisiert11. Juli 2026 um 16:10

L0 bootstrap of the abap_wiki knowledge base: creates stubs for all custom objects from the TADIR. Use this skill to initialize the repo from scratch or to ingest a new TADIR export. Deterministic operations (no LLM sub-agent), idempotent.

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Quelle

Gixsy95

Gixsy95/abap_wiki

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

SKILL.md

readonly

name	ingest-l0
description	L0 bootstrap of the abap_wiki knowledge base: creates stubs for all custom objects from the TADIR. Use this skill to initialize the repo from scratch or to ingest a new TADIR export. Deterministic operations (no LLM sub-agent), idempotent.

Ingest L0 - stub bootstrap from TADIR

Creates (or updates) the L0 stub for every custom object in the TADIR. Everything is deterministic: no sub-agents, parallelism via devclass partitioning. State lives in state/abap_wiki.db (see core/docs/01-pipeline-l0-l1.md).

When to use it

First-time initialization of the repo (empty DB).
Arrival of a new export raw/tadir/TADIR_Z_<YYYYMMDD>.XLSX.

Procedure

Shortcut: python core/src/tools/pipeline.py l0-run runs steps 1-6 as a single deterministic command (newest TADIR in raw/tadir/ or --file). The step-by-step procedure below remains the reference for diagnostics.

All commands must be run from the repo root with the venv active.

Initialize the schema (idempotent):

python core/src/tools/pipeline.py init-db

Import the TADIR (dtype=str, excludes objects already removed from the L1 queue):

python core/src/tools/pipeline.py import-tadir --file raw/tadir/<most recent TADIR>.XLSX

Resolve sources (unique in-memory index, deterministic hash):
```
python core/src/tools/pipeline.py resolve-sources
```
Create L0 stubs (all, or by devclass partition in parallel across multiple sessions):
```
python core/src/tools/pipeline.py ingest-l0            # all
python core/src/tools/pipeline.py ingest-l0 --partition ZPACKAGE   # one package
```
Idempotent: re-running on an already-processed package is a no-op.
Enqueue L1 (only analyzable types with available source):
```
python core/src/tools/pipeline.py enqueue-l1
```

Verify and commit:

python core/src/tools/pipeline.py progress
python core/src/tools/pipeline.py export-excel
python core/src/tools/pipeline.py git-commit --message "ingest L0: <export>"

Rules

Never modify raw/ (only the user stages it when updating the export).
Indexes (abap_wiki/_packages/, abap_wiki/index.md) are regenerated from queries: do not edit them manually.
If unknown TADIR types appear they are mapped to tadir-<x> and listed in output/reports/unknown-tadir-types.md (non-blocking).

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Gixsy95/abap_wiki

Ingests an expert's answers to an L2 questionnaire in the abap_wiki knowledge base: transforms the answers (filled in the interviews/ file or given verbally) into a canonical citable expert-answer (slices/<id>/inputs/expert-answers/), moves gaps to 'answered' and closes the questions. Use this skill when the owner/expert has answered the functional questions generated by research-l2.

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L1 analysis loop for the abap_wiki knowledge base: for each batch it launches the abap-analyzer sub-agent in parallel, then the adversarial judge abap-deepcheck (separate session), applies only the analyses that pass the fail-closed gate, and commits. Resumes exactly after an interruption. Use this skill to document the code of a package, or invoke it via /loop for autonomous execution.

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Checks the integrity of the abap_wiki knowledge base: parseable YAML frontmatter, no broken wikilinks, resolvable [VERIFIED: path:N-M] citations, non-nested confidence tags, drift between wiki and DB, synchronization between canonical agent contracts and the .claude/agents/ copies. Use this skill periodically or after an ingest batch.

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research-l2

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Executes Phases 1-3 of the L2 process of the abap_wiki knowledge base on a slice: launches the abap-functional-researcher sub-agent (gap discovery + multi-source auto-research: wiki -> raw/docs -> MCP abap-fs on the <SAP_DEV_SYSTEM> system read-only -> standard knowledge), ingests gaps and evidence, and generates questionnaires for experts from the residual load-bearing gaps. Use this skill after slice-init to functionally document a process. Prerequisite: a slice with a real owner.

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slice-init

Gixsy95/abap_wiki

Creates an L2 slice in the abap_wiki knowledge base: a business process on which to build functional documentation. Writes the manifest (curated anchors + mandatory real owner) and derives the membership from the dependency graph (BFS hop<=2). Use this skill to start the L2 process on a custom domain. Does not promote anything to L2: it only prepares the slice for research-l2.

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name	ingest-l0
description	L0 bootstrap of the abap_wiki knowledge base: creates stubs for all custom objects from the TADIR. Use this skill to initialize the repo from scratch or to ingest a new TADIR export. Deterministic operations (no LLM sub-agent), idempotent.

Ingest L0 - stub bootstrap from TADIR

When to use it

First-time initialization of the repo (empty DB).
Arrival of a new export raw/tadir/TADIR_Z_<YYYYMMDD>.XLSX.

Procedure

Shortcut: python core/src/tools/pipeline.py l0-run runs steps 1-6 as a single deterministic command (newest TADIR in raw/tadir/ or --file). The step-by-step procedure below remains the reference for diagnostics.

All commands must be run from the repo root with the venv active.

Initialize the schema (idempotent):

python core/src/tools/pipeline.py init-db

Import the TADIR (dtype=str, excludes objects already removed from the L1 queue):

python core/src/tools/pipeline.py import-tadir --file raw/tadir/<most recent TADIR>.XLSX

Resolve sources (unique in-memory index, deterministic hash):
```
python core/src/tools/pipeline.py resolve-sources
```
Create L0 stubs (all, or by devclass partition in parallel across multiple sessions):
```
python core/src/tools/pipeline.py ingest-l0            # all
python core/src/tools/pipeline.py ingest-l0 --partition ZPACKAGE   # one package
```
Idempotent: re-running on an already-processed package is a no-op.
Enqueue L1 (only analyzable types with available source):
```
python core/src/tools/pipeline.py enqueue-l1
```

Verify and commit:

python core/src/tools/pipeline.py progress
python core/src/tools/pipeline.py export-excel
python core/src/tools/pipeline.py git-commit --message "ingest L0: <export>"

Rules

Never modify raw/ (only the user stages it when updating the export).
Indexes (abap_wiki/_packages/, abap_wiki/index.md) are regenerated from queries: do not edit them manually.
If unknown TADIR types appear they are mapped to tadir-<x> and listed in output/reports/unknown-tadir-types.md (non-blocking).