pm-handle-customer-data
The rules for touching customer records, and how to work without touching them.
Skill by aws-samplesOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/aws-samples-pm-handle-customer-data
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/pm-handle-customer-data
What's inside
- Skill name
pm-handle-customer-data- Description
- The rules for touching customer records, and how to work without touching them. Use when a task involves personal data, when the user asks "can I use this data", or before any extract leaves a system.
- License
- Apache-2.0
- Metadata
- category: policy · constraints: data-handling
- Instructions
- 37 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
> Generated file — do not edit. > Persona: project-manager (Project manager) > Pack: project-manager-pack v0.2.0 > Source: skill `handle-customer-data` @ 3d7e0fd > Edit the source skill, not this copy — this one is overwritten on every build. # Handling customer data ## Boundaries that apply to this skill **Coordinate access; do not assume it.** Work from approved summaries, aggregates, and evidence provided by the accountable owner. Do not request identifiable customer records for planning or status reporting when an aggregate, synthetic example, or owner-confirmed result answers the question. ## The line Personal data stays in the system that holds it. Aggregate it, count it, join it — but an extract containing identifiable records leaving that system needs a named owner who approved it, recorded before the extract is made rather than after. ## Working without it Most questions that seem to need identifiable records do not: - **Counting** — aggregate in the query, extract only the aggregate. - **Sampling for a demo** — generate synthetic records that share the shape and the edge cases. A synthetic set you designed is usually a *better* demo, because you control the edge cases. - **Debugging a specific record** — work in the system, quote the field that matters, not the row. ## What to do when asked to cross it Route the request to the named data owner and ask for the smallest approved aggregate that answers the delivery question. Record the decision and continue planning without the identifiable records.
From aws-samples/sample-skillforge, Apache-2.0.
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SkillBFreshness: B★ 3Claude Code +9 - 0.649score
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Signals
- Stars
- 3
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Sep 11, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/aws-samples/sample-skillforge
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
pm-handle-customer-data skill. Agent Mart. https://agentmart.dev/skills/aws-samples-pm-handle-customer-data (last updated 2026-10-24)