tegwick
3b2edd4a9e
Enable kaizen agents to run on a regular cadence against a preselected repo roster, orchestrated by activity-core and prepared by kaizen-agentic — without this repo owning cron, Temporal workers, or an LLM runtime. CLI + module: - src/kaizen_agentic/schedule.py — .kaizen/schedule.yml parse/validate/scaffold - `kaizen-agentic schedule` group: init, validate, list, prepare <agent> (prepare bundles agent prompt + memory + metrics + repo pointers, offline) - tests/test_schedule_cli.py — 15 tests Contract & design: - ADR-005 scheduled agent execution; schema doc + example manifest - discover_kaizen_scheduled_repos resolver spec, state-hub roster fields, kaizen.schedule.prepared event payload, activity-core handoff checklist - INTEGRATION_PATTERNS Pattern 2 extended with roster model ActivityDefinition drafts (enabled: false): - weekly-coach-orientation, weekly-optimization-review Docs: agency-framework, CLI cheat sheet, PACKAGE_RELEASE runner prereqs, EcosystemIntegration, CHANGELOG, TODO. Workplan closed (status: done). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
56 lines
1.8 KiB
Markdown
56 lines
1.8 KiB
Markdown
---
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id: kaizen-weekly-optimization-review
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name: Weekly Kaizen Optimization Review
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enabled: false
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owner: kaizen-agentic
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governance: custodian
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status: proposed
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trigger:
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type: cron
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cron_expression: "0 10 * * 1"
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timezone: Europe/Berlin
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misfire_policy: skip
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context_sources:
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- type: resolver
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query: discover_kaizen_scheduled_repos
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params:
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domain: custodian
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cadence: weekly
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bind_to: context.scheduled_runs
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---
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# Weekly Kaizen Optimization Review
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Every Monday 10:00 Berlin time, opens an optimization-agent review task for each
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schedule-eligible repo whose `.kaizen/schedule.yml` enables the `optimization`
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agent. Chains the agent orientation with the existing metrics optimizer so the
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review is evidence-backed.
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```rule
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id: run-weekly-optimization
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for_each: context.scheduled_runs
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bind_as: r
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condition: 'r.agent == "optimization" and r.enabled == true'
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action:
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task_template: "Weekly optimization review: {{r.repo}}"
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description: |
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{{r.prepare_command}}
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kaizen-agentic metrics optimize # refresh evidence
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Then load agents/agent-optimization.md, paste the prepared bundle plus the
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optimizer report, and act on recommendations. At session close:
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kaizen-agentic metrics record optimization --success --time <s> --quality <0-1>
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target_repo: "{{r.repo}}"
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priority: medium
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labels: ["kaizen", "agent-run", "optimization", "scheduled", "automated"]
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```
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**CLI mapping:** `kaizen-agentic schedule prepare optimization` then
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`kaizen-agentic metrics optimize`.
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**Complementarity:** this generalizes the metrics-only
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[weekly-metrics-optimize](weekly-metrics-optimize.md) definition into a full
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agent run. Repos may run either; running both duplicates the optimizer step.
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**Activation:** sync into activity-core via `make sync-activity-definitions`
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after the resolver is enabled; hold at `enabled: false` until smoke-tested.
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