slop on my agent skills removed + notes
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@@ -0,0 +1,20 @@
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delete and replace file if youve done it.
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THE OG. the GOAT. the latest and greatest.
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examples\demo_workflow.py
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the flow is docs -> foreach summarize -> email by flag.
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also look at report_workflow, and other workflows in example.
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im expanding it to the biggest and most challenging:
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docs collection -> foreach summarize by person / point
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|-> render markdown -> send to email
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|-> foreach (collect by person -> render markdown -> lookup name -> send to email)
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-> save somewhere
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this exercises a lot of things.
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to make shit easy lets have the docs VERY structured. Each doc is by topic(?), points by person(?), or some better system.
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@@ -123,6 +123,3 @@ The plan file is the low-level workflow model. It is not a draft workspace.
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- Do not omit deployment bindings for ordinary sources. Platform sources such
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- Do not omit deployment bindings for ordinary sources. Platform sources such
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as `wf.std` may be omitted or self-bound, but configured sources usually need
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as `wf.std` may be omitted or self-bound, but configured sources usually need
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explicit deployment bindings.
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explicit deployment bindings.
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- If a challenge asks what you read, source files, tests, and examples count as
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product code. Report `product_code: true` if you inspected them for plan shape
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or capability behavior.
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@@ -69,14 +69,3 @@ Use trace commands only with explicit bounds:
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```bash
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```bash
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wf run trace <run_id> --from 0 --limit 25
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wf run trace <run_id> --from 0 --limit 25
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```
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```
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## Agent Reporting
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If a challenge asks whether product code was read, count source files, tests,
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and examples as product code. Reading `tests/...` to learn plan shape means
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`product_code: true`.
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Do not run repository-wide `ruff`, `basedpyright`, or test suites unless the
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task asks for repo changes. For workflow operation tasks, validate with `wf`
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commands: capability inspection, draft/deployment validation, run status, and
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bounded trace reads.
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