nw-deliver-orchestration
SolidDELIVER wave orchestration workflow -- 9 phases from baseline to finalization. Load when user invokes *deliver command. Covers state tracking, smart skip logic, retry, resume, and quality gate enforcement.
Install
Quality Score: 92/100
Skill Content
Details
- Author
- nWave-ai
- Repository
- nWave-ai/nWave
- Created
- 3 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
nw-deliver
Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.
task-deliver
task-deliver workflow v3 — Stage ③.d 子任务交付 sub-workflow (ralph-loop COMPLETE wrapper + Agent Teams conditional escalation + R20.10 explicit max_iterations_exceeded fallback)。2-phase composition: 01-deliver (ralph-loop SDK wrapper with completion_promise verbatim "COMPLETE" + parallelism judgments.parallelism-gate.ralph-loop-wrapper.fires + fallback emit_warning_and_halt exit_code 1) → 02-progress-mark (Claude Code plugin /plan mark subtask complete in progress.md)。 schema_version: harnessed.workflow.v3 with disciplines_applied [6] + tools_available [ralph-loop, agent-teams-create, agent-teams-send-message, agent-teams-shutdown, planning-with-files]. Triggered by harnessed CLI `harnessed task-deliver --task <text>` or slash command `/task-deliver` after `harnessed setup`.
delivery-workflow
Load when workflow-router selects the delivery state for accepted validation closeout, cleanup, handoff, release notes, environment reset, or reporting; do not start new scope.
executive-strategist-delivery-review
Delivery Review Workflow
aod-deliver
Structured delivery retrospective for the AOD Lifecycle's Deliver stage. Validates Definition of Done, captures delivery metrics (estimated vs. actual duration), logs surprises, feeds new ideas back into discovery via GitHub Issues, and creates Institutional Knowledge entries. Use this skill when you need to close a feature, run a delivery retrospective, capture lessons learned, or complete the AOD lifecycle.