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Dify Rag Pm

skill-samzong-agent-brains-dify-rag-pm · by samzong

Analyze, plan, design, and review Dify Dataset, Knowledge, and RAG product work. Use for Dataset lifecycle, Workflow Knowledge Retrieval nodes, field contracts, user stories, and KnowledgeFS-to-Dify product translation.

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Install

$ agentstack add skill-samzong-agent-brains-dify-rag-pm

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

dify-rag-pm Skill

Use this skill when analyzing, planning, designing, or reviewing Dify Dataset / Knowledge / RAG product work.

Trigger Situations

  • Dataset lifecycle, source ingestion, document management, indexing, retrieval, metadata, or hit testing.
  • Workflow Knowledge Retrieval node fields or runtime behavior.
  • KnowledgeFS to Dify Dataset 2.0 mapping.
  • Product requirements, user stories, feature matrix, or prototype design for Dataset/RAG.

Workflow

  1. Read code first.
  2. Identify the product surface.
  3. Extract fields and runtime rules.
  4. Separate current behavior from proposal.
  5. Translate technical internals into Dify user language.
  6. Produce field contract and user story map.
  7. State non-goals and invalid combinations.

Required Evidence

Prefer these source areas:

  • /Users/x/git/lg/dify/api/models/dataset.py
  • /Users/x/git/lg/dify/api/models/enums.py
  • /Users/x/git/lg/dify/api/services/dataset_service.py
  • /Users/x/git/lg/dify/api/core/rag/retrieval/dataset_retrieval.py
  • /Users/x/git/lg/dify/api/core/workflow/nodes/knowledge_retrieval/
  • /Users/x/git/lg/dify/web/models/datasets.ts
  • /Users/x/git/lg/dify/web/app/components/datasets/
  • /Users/x/git/lg/dify/web/app/components/workflow/nodes/knowledge-retrieval/
  • /Users/x/git/lg/knowledge-fs/packages/core/src/models.ts
  • /Users/x/git/lg/knowledge-fs/packages/api/src/retrieval-types.ts
  • /Users/x/git/lg/knowledge-fs/packages/api/src/gateway-route-schemas.ts

Output Checklist

  • Current behavior
  • Code evidence
  • Product implication
  • Dataset 2.0 proposal
  • Field contract
  • Story map
  • Information flow
  • Non-goals
  • Prototype implications

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.