Privacy DSR Processing with Claude Code: SKILL.md Template
A production playbook for privacy DSR processing in cross-industry operations using Claude Code: skill.md template, run-scoped inputs, logs, typed results, and artifacts.
Audience: Privacy operations teams
The problem
Privacy operations teams need privacy DSR processing to run repeatedly against request forms, identity evidence, data maps, and response templates. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Put the operating procedure in SKILL.md, keep examples beside the skill, attach request forms, identity evidence, data maps, and response templates per run, and let Argo turn the folder into a repeatable Claude Code execution.
Tradeoffs and failure modes
A skill folder is less flexible than an open chat, but it gives the product a versioned workflow that can be tested and rolled back. For privacy DSR processing, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
SKILL.md starter
# SKILL.md
You run privacy DSR processing using Claude Code.
Read only /skill/.argo/inputs.
Write artifacts to /skill/output/artifacts.
Return argo.result.v1 with body.type = "privacy_dsr_processing".
Run this on Argo