Exécutez n'importe quel Skill dans Manus
en un clic

Exécutez n'importe quel Skill dans Manus en un clic

ingest-l0

Étoiles37

Forks3

Mis à jour11 juillet 2026 à 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.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Exécuter dans Manus

Source

Gixsy95

Gixsy95/abap_wiki

Ouvrir le dépôt GitHub Voir les dépôts du créateur

Téléchargement

Exécuter dans Manus

Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·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).

Plus depuis ce dépôt

même dépôt

capture-answer

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.

2026-07-0737

ingest-l1

Gixsy95/abap_wiki

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.

2026-07-0737

lint-audit

Gixsy95/abap_wiki

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.

2026-07-0737

query

Gixsy95/abap_wiki

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.

2026-07-0737

research-l2

Gixsy95/abap_wiki

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.

2026-07-0737

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.

2026-07-0737

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).