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pm-ai-shipping: mandatory Evidence citations verified before reporting, concrete subagent fan-out contract, read-only allowed-tools on both audits, N+1/waterfall detection and a refute pass in the performance audit, untrusted-input hardening across the kit, parallel audits in /ship-check, severity anchors + report consolidation, repo-relative paths. Repo: CHANGELOG.md as release source of truth with auto-tag-and-release on merge to main (adapted from phuryn/claude-usage, minus the .vsix build), Tests workflow on every PR/push, unit + docs-consistency test suite, contributor-credit conventions in CONTRIBUTING, all manifests synced at 2.1.0. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011URgT9hYuNrXeCvzjnqRxJ
20 lines
535 B
JSON
20 lines
535 B
JSON
{
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"name": "pm-data-analytics",
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"version": "2.1.0",
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"description": "Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.",
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"author": {
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"name": "Paweł Huryn",
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"email": "pawel@productcompass.pm",
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"url": "https://www.productcompass.pm"
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},
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"keywords": [
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"product-management",
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"data-analytics",
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"sql",
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"cohort-analysis",
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"retention"
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],
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"homepage": "https://www.productcompass.pm",
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"license": "MIT"
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}
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