opendcai/dataflow-webui/core-text

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Reference documentation for DataFlow's core_text operators — 8 generators, 3 filters, 2 refiners and 5 evaluators. Read by generating-dataflow-pipeline when a task needs an operator beyond the six core primitives. This is a reference package, not a workflow: it is consulted, never invoked directly.

Install

npx vskill@latest install opendcai/dataflow-webui/core-text

SKILL.md

core_text operator reference

Per-operator API documentation for DataFlow's core_text family. Consult it when you need an operator's exact constructor and run() signature, its real row-processing behaviour, or the mistakes that break it.

Do not invoke this as a skill. There is no workflow here. The generating-dataflow-pipeline skill reads these files when it needs an operator beyond its six core primitives.

Layout

core_text/<category>/<operator>/
├── SKILL.md English reference: constructor, run(), execution logic,
│ mandatory rules, return-value semantics
├── SKILL_zh.md Chinese translation
└── examples/
├── good.md Best-practice pipeline usage
└── bad.md Common mistakes and how they fail

What is documented

CategoryPathOperators
Generategenerate/PromptedGenerator, FormatStrPromptedGenerator, Text2MultiHopQAGenerator, BenchAnswerGenerator, ChunkedPromptedGenerator, EmbeddingGenerator, RandomDomainKnowledgeRowGenerator, RetrievalGenerator
Filterfilter/GeneralFilter, KCenterGreedyFilter, PromptedFilter
Refinerefine/PandasOperator, PromptedRefiner
Evaleval/BenchDatasetEvaluator, BenchDatasetEvaluatorQuestion, PromptedEvaluator, Text2QASampleEvaluator, UnifiedBenchDatasetEvaluator

How to use it

  1. Find the operator's directory under its category.
  2. Read its SKILL.md for the authoritative signature.
  3. Check that operator's bad.md example before writing code — it documents the

failure modes that come up most often.

Accuracy and scope

These are static reference docs, aligned to a specific DataFlow version (recorded in VERSION.md in this directory). They are not a live query.

When an MCP server is available, get_operator_detail_by_name is authoritative: it reflects the operators actually installed. Prefer it, and treat a disagreement with these files as this reference being out of date.

Adding an operator

  1. Create core_text/<category>/<operator-slug>/ containing SKILL.md, its

SKILL_zh.md translation, plus good.md and bad.md under examples/.

  1. Add the operator to the category table above. Add a rule to

../generating-dataflow-pipeline/SKILL.md only when it changes operator selection policy; the planner reads this index on demand.

Security

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