Coordinate end-to-end feature delivery from planning through verified implementation and release handoff.
npx skills add https://github.com/ace3/skills --skill feature-delivery-ace3
Please help me install this Agent Skill. Skill: feature-delivery Source: https://github.com/ace3/skills/tree/main/skills/feature-delivery Command: npx skills add https://github.com/ace3/skills --skill feature-delivery-ace3
Feature requests often stall in planning, coordination, and handoffs across multiple specialties. This skill batches planning, implementation, QA, security review, and release steps into a single end-to-end workflow, reducing handoff friction and speeding delivery.
Trigger the feature-delivery run with a single command to start end-to-end delivery.
High-intent search queries and answers about installing and using this skill.
End-to-end feature delivery orchestration coordinates planning, implementation, QA, security review, and release handoff in a single workflow, reducing manual invocation of multiple specialists. It batches these steps to minimize handoff friction and speed up the overall delivery process.
Yes, feature delivery workflows enforce governance through explicit gates that prevent destructive actions and ensure compliance. These built-in controls mandate minimal surgical changes and require reproducible evidence before proceeding to release handoff.
Automating security review and QA involves batching granular testing and security checks into a unified delivery orchestration workflow. This approach eliminates manual specialist invocation and ensures evidence-driven finish via standardized output contracts.
No, a single end-to-end feature delivery workflow replaces the need for manually invoking multiple specialists. It coordinates planning, implementation, tests, granular QA, security review, and release handoff automatically through a single triggered run.
Evidence-driven finish collects artifacts and outputs under standardized delivery contracts at the end of the feature delivery workflow. This ensures reproducible evidence for governance requirements and facilitates standardized handoffs across the pipeline.
Use end-to-end feature delivery orchestration when a user needs coordinated planning, implementation, tests, granular QA, security review, and release handoff. It is ideal for satisfying governance requirements for minimal surgical changes and reproducible evidence without manual specialist coordination.
w020316Coordinate end-to-end AI-driven development workflows from discovery to delivery.
DKSangGenerate evidence-grounded retrospective reports for DES data engineering implementation cycles.
Nairon-AICoordinate end-to-end epic completion reviews with adversarial dual-model checks and browser QA.
nist0Orchestrate project lifecycles from idea clarification to delivery governance.
