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Add AgentProf workflows as a Perfetto skill overlay - #13
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Add six performance analysis runbooks and standalone SQL resources under `ai/skills/dev.agentprof`. Reuse the pinned Perfetto skill, references and packager through a small workflow mapping and router patch. Export the tested reader and prompt-attribution SQL with a separate namespace and no content-bearing tool/prompt fields. Add capture/coverage-aware latency, occupancy, context, delegation and resource queries. Tests: `npm run check`; `npm test` (229 existing tests plus 18 workflow checks); all resources against the four harnesses’ reviewed recordings; standalone packaging; independent review.
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Reuse the pinned Perfetto assembler to ship one skill ZIP with licenses, deterministic metadata, checksum and source/runtime provenance. Verify the extracted wrapper, pinned native binary, all AgentProf SQL resources and a warm session before CI retains or publishes the artifact. Add a PR artifact check and an upload job enabled only by an explicitly published GitHub release. Release reruns accept identical existing assets and upload only missing ones; mismatches and unverified metadata fail without overwrites. Document separate skill installation and deliberate replacement of an existing Perfetto skill. Keep recorder/UI CI and Meta integration unchanged. Tests: 22 release packaging/upload tests; Python compilation; npm run check; full existing suite and workflow checks; independent review. Exact packaged-runtime verification is mandatory in PR CI; local prebuilt fetch is blocked by devserver DNS.
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Add six performance analysis runbooks and standalone SQL resources under
ai/skills/dev.agentprof. Reuse the pinned Perfetto skill, references and packager through a small workflow mapping and router patch.Export the tested reader and prompt-attribution SQL with a separate namespace and no content-bearing tool/prompt fields. Add capture/coverage-aware latency, occupancy, context, delegation and resource queries.
Tests:
npm run check;npm test(229 existing tests plus