agent-workflow-orchestrator

Solid

Run or resume the full lifecycle from request clarification through reviewed planning, freeze, authorized execution, per-task audits, and final proof.

AI & Automation 18 stars 1 forks Updated 6 days ago Apache-2.0

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Quality Score: 81/100

Stars 20%
43
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Agent workflow orchestrator Use `agent-workflow-orchestrator` to drive the complete lifecycle. The controller is host-neutral: skills define semantics, while each host adapter owns native questions, approvals, tool calls, agent launch, waiting, cancellation, and telemetry. ## Lifecycle 1. Load existing durable state when present. Do not reconstruct authority from chat. 2. Clarify only decisions that materially change behavior, scope, safety, architecture, ownership, evidence, or external authority. 3. Route planning to `agent-first-planning`. 4. Route every candidate specification or plan to independent review through `audit-agent-plan`; refine until the freeze verdict passes or blocks. 5. Freeze only reviewed matching inputs. 6. Compile packets with `agent-plan-to-workers`. 7. Respect execution mode: plan-only, approval-required, or auto-after-freeze. 8. Launch only dependency-ready packets within frozen parallelism. 9. Run controller-owned validation before launch and after attempts when the plan requires it. 10. Audit every task attempt with `audit-plan-implementation` before acceptance. 11. Route implementation/test/evidence defects to bounded remediation. Route plan gaps, write-set gaps, architecture changes, or contract changes to reopen and refreeze. 12. After all required tasks are accepted, run final implementation audit and publish completion only from a reproducible proof. Managed workflow commands may show progress with `--progres...

Details

Author
avksp
Repository
avksp/agent-lifecycle-kit
Created
1 months ago
Last Updated
6 days ago
Language
Python
License
Apache-2.0

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