project-completion-reviewer

Run retrieval checks and triage failure buckets for project completion decisions.

Updated May 28, 2026
One-click install
npx skills add https://github.com/zhang-ming-hui/ackownledge --skill project-completion-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-completion-reviewer
Source: https://github.com/zhang-ming-hui/ackownledge/tree/main/ir_system/.agents/skills/project-completion-reviewer
Command: npx skills add https://github.com/zhang-ming-hui/ackownledge --skill project-completion-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps teams decide whether the retrieval project has completed the necessary work to move forward, by grounding readiness in executed checks, metrics, and failure-bucket analysis rather than assumptions.

Core Features & Use Cases

  • Completion review with execution evidence: Runs non-destructive checks such as search, evaluation, run-cycle, and report inspection to validate the current baseline.
  • Failure-bucket triage for decision-making: Breaks down failure buckets into acceptable known relevance gaps, blocking functional gaps, and gaps that prevent productization.
  • Product step readiness recommendation: Produces a clear recommendation for the next phase, such as progressing to a minimal web UI, based on prioritized, actionable blockers.

Quick Start

Ask the agent to run the project completion review and return a readiness decision with a completed vs missing checklist and prioritized blockers.

Frequently Asked Questions about project-completion-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review retrieval project readiness before moving to production?

Retrieval project readiness review executes non-destructive CLI search, evaluation, run-cycle, and runtime artifact checks to validate baseline metrics and produce a productization decision with prioritized blockers.

What is failure bucket analysis in retrieval evaluation?

Failure bucket analysis in retrieval evaluation categorizes runtime artifacts and metric failures into acceptable known relevance gaps, blocking functional gaps, and productization gaps to ground readiness decisions in evidence.

How do I decide if my retrieval baseline is ready for a minimal web UI?

To decide if your retrieval baseline is ready for a minimal web UI, run evaluation checks and inspect runtime artifacts to triage failure buckets, producing a clear recommendation based on actionable blockers.

Can I run project completion reviews without breaking existing retrieval code?

Yes, project completion reviews require non-destructive execution of CLI search and evaluation run-cycles, validating baseline hardening without altering existing code or runtime artifacts.

When should I triage retrieval failure buckets into acceptable vs blocking gaps?

Triage retrieval failure buckets into acceptable and blocking gaps after running baseline hardening checks post-code changes, using runtime artifact verification to separate known relevance gaps from functional blockers.