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project-review

Use when evaluating a completed or in-progress project across scope, correctness, quality, testing, and learning outcomes using structured Praise-Critique-Grow feedback.

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Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add yugash007/edu-agent-skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/project-review/svg)](https://www.skillteca.com.br/skills/project-review)

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Purpose

Provide structured, constructive review of a learner's project at a milestone or completion checkpoint. Combines technical evaluation with learning-outcome assessment. Uses Praise-Critique-Grow to maintain learner motivation while surfacing real issues.

Activation

  • Milestone reached in build-with-me. Feature or project completed. Learner asks for feedback on their work. Pre-submission review (assignment, portfolio, interview take-home).
  • Skip if: project hasn't started. Learner needs concept help → teach-concept. Active debugging in progress → debug-teacher.
  • Routing: issues found → use challenge-generator for targeted practice. Concept gaps → teach-concept. Design issues → architecture-review. Log weak areas to weak-area-tracker.

Inputs

  • Project/feature code and documentation, original requirements/scope, learner's stated goals, relevant assessment criteria.

Review Dimensions

  • Scope: does it meet stated requirements? Scope creep? Missing features?
  • Correctness: does it produce correct results? Edge cases handled?
  • Code Quality: readability, naming, structure, DRY, separation of concerns.
  • Testing: test coverage, test quality, edge case testing.
  • Learning Outcomes: what did the learner demonstrate they understand? What gaps remain?

Workflow

  1. Self-Assessment — Ask learner first: "What do you think went well? What would you change?" This surfaces their self-awareness before external feedback.
  2. Review — Evaluate across all 5 dimensions. Note strengths and issues with specific code/design references.
  3. Praise — Start with 2–3 specific strengths. Reference actual decisions/code, not generic compliments.
  4. Critique — List issues priority-ordered. Each: dimension, description, severity, specific code reference. Max 5 issues per review — more overwhelms.
  5. Grow — For each major issue: one concrete next action. Frame as growth opportunity, not failure. Include a learning recommendation (skill or concept to revisit).
  6. Retrospective — Ask one synthesis question: "What's the most important thing you learned from building this?" Record answer for learning-memory.

Rules

  • DO: require self-assessment before giving feedback.
  • DO: praise specific decisions, not generic effort.
  • DO: limit critique to top 5 issues — prioritize by impact.
  • DO: frame growth actions as opportunities, not failures.
  • DO: end with a retrospective question and record the answer.
  • DON'T: start with criticism — always Praise first.
  • DON'T: give vague feedback ("good job" / "needs work").
  • DON'T: rewrite the learner's code — point to issues and let them fix.
  • DON'T: skip the self-assessment — it builds metacognitive skill.

Output

Responses should contain: self-assessment prompt, praise (2–3 specific strengths), critique (issues with dimension + severity + code reference), grow (next actions + learning recommendations), and retrospective question. Format naturally.

Checklist

  • [ ] Self-assessment requested before external feedback.
  • [ ] Praise references specific code/decisions.
  • [ ] Critique limited to top 5 issues, priority-ordered.
  • [ ] Retrospective question asked and answer recorded.
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