bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Performance Review Engine
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-performance-review打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Your AI-powered performance management system. Write reviews that develop people, not just evaluate them. From self-assessments to 360° feedback to calibration — complete frameworks for every review cycle.
Tell your agent:
cycle:
name: "H2 2025 Performance Review"
period: "2025-07-01 to 2025-12-31"
type: annual | semi-annual | quarterly
timeline:
self_assessment_due: "2026-01-10"
peer_feedback_due: "2026-01-17"
manager_draft_due: "2026-01-24"
calibration_session: "2026-01-28"
delivery_window: "2026-01-29 to 2026-02-07"
participants:
- name: ""
role: ""
level: ""
tenure_months: 0
previous_rating: ""
peer_reviewers: []
skip_level_reviewer: ""
rating_scale:
1: "Does Not Meet Expectations"
2: "Partially Meets Expectations"
3: "Meets Expectations"
4: "Exceeds Expectations"
5: "Significantly Exceeds Expectations"
competencies:
- name: "Delivery & Execution"
weight: 30
- name: "Technical/Functional Expertise"
weight: 25
- name: "Communication & Collaboration"
weight: 20
- name: "Leadership & Influence"
weight: 15
- name: "Growth & Development"
weight: 10
| Rating | Target % | Description |
|---|---|---|
| 5 - Significantly Exceeds | 5-10% | Transformational impact, raises the bar for everyone |
| 4 - Exceeds | 20-25% | Consistently above expectations, visible impact |
| 3 - Meets | 50-60% | Solid, reliable performer at level |
| 2 - Partially Meets | 10-15% | Gaps in key areas, needs focused... |
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
The complete AI-powered performance management system. Write better reviews, run calibration sessions, collect 360° feedback, and develop your people — all through your AI agent.
clawhub install afrexai-performance-review
"Write a performance review for Sarah — she exceeded on delivery and technical work,
but needs to improve cross-functional communication. Rating: 4/5."
"Help me write my self-assessment. Key achievements: led API migration (12 services,
2 weeks early), mentored 2 junior devs, reduced incident response time by 40%."
"Prepare calibration cards for my 5 direct reports."
| Section | What You Get |
|---|---|
| Cycle Setup | Full YAML config template with timeline, competencies, rating scale |
| Self-Assessment | STAR-I method, prompts by competency, quality checklist |
| Manager Reviews | OBSERVE framework, templates for ratings 1-5, writing rules |
| 360° Feedback | Request templates, synthesis method, theme extraction |
| Calibration | Prep cards, discussion framework, 7-point bias checklist |
| Delivery | Conversation structure, scripts for difficult situations |
| Development | 70-20-10 plans, career goal templates, support mapping |
| Continuous | Monthly check-in template, SBI feedback formula |
| Scoring | Weig... |
# Performance Review Engine
> Your AI-powered performance management system. Write reviews that develop people, not just evaluate them. From self-assessments to 360° feedback to calibration — complete frameworks for every review cycle.
---
## Quick Start
Tell your agent:
- "Write a performance review for [name] — they exceeded on delivery but need to improve communication"
- "Help me write my self-assessment for H2 2025"
- "Run a 360° feedback collection for my team of 6"
- "Prepare calibration notes for my 4 direct reports"
---
## 1. Review Cycle Setup
### Cycle Configuration Template
```yaml
cycle:
name: "H2 2025 Performance Review"
period: "2025-07-01 to 2025-12-31"
type: annual | semi-annual | quarterly
timeline:
self_assessment_due: "2026-01-10"
peer_feedback_due: "2026-01-17"
manager_draft_due: "2026-01-24"
calibration_session: "2026-01-28"
delivery_window: "2026-01-29 to 2026-02-07"
participants:
- name: ""
role: ""
level: ""
tenure_months: 0
previous_rating: ""
peer_reviewers: []
skip_level_reviewer: ""
rating_scale:
1: "Does Not Meet Expectations"
2: "Partially Meets Expectations"
3: "Meets Expectations"
4: "Exceeds Expectations"
5: "Significantly Exceeds Expectations"
competencies:
- name: "Delivery & Execution"
weight: 30
- name: "Technical/Functional Expertise"
weight: 25
- name: "Communication & Collaboration"
weight: 20
- name: "Leadership & Influence"
weight: 15
- name: "Growth & Development"
weight: 10
```
### Rating Distribution Guidelines
| Rating | Target % | Description |
|--------|----------|-------------|
| 5 - Significantly Exceeds | 5-10% | Transformational impact, raises the bar for everyone |
| 4 - Exceeds | 20-25% | Consistently above expectations, visible impact |
| 3 - Meets | 50-60% | Solid, reliable performer at level |
| 2 - Partially Meets | 10-15% | Gaps in key areas, needs focused...# AfrexAI Performance Review Engine 🖤💛 The complete AI-powered performance management system. Write better reviews, run calibration sessions, collect 360° feedback, and develop your people — all through your AI agent. ## What This Does - **Self-assessments** using STAR-I framework (not vague bullet points) - **Manager reviews** using the OBSERVE method with templates for every rating level - **360° feedback** collection, anonymization, and synthesis - **Calibration sessions** with bias checklists and discussion frameworks - **Development plans** using the 70-20-10 model - **Continuous feedback** with SBI formula and monthly check-in templates - **Performance scoring** — weighted competency scores (0-100) and team dashboards - **Edge cases** — new hires, role changes, remote workers, inherited teams, difficult conversations ## Install ```bash clawhub install afrexai-performance-review ``` ## Quick Start ``` "Write a performance review for Sarah — she exceeded on delivery and technical work, but needs to improve cross-functional communication. Rating: 4/5." "Help me write my self-assessment. Key achievements: led API migration (12 services, 2 weeks early), mentored 2 junior devs, reduced incident response time by 40%." "Prepare calibration cards for my 5 direct reports." ``` ## What's Inside | Section | What You Get | |---------|-------------| | Cycle Setup | Full YAML config template with timeline, competencies, rating scale | | Self-Assessment | STAR-I method, prompts by competency, quality checklist | | Manager Reviews | OBSERVE framework, templates for ratings 1-5, writing rules | | 360° Feedback | Request templates, synthesis method, theme extraction | | Calibration | Prep cards, discussion framework, 7-point bias checklist | | Delivery | Conversation structure, scripts for difficult situations | | Development | 70-20-10 plans, career goal templates, support mapping | | Continuous | Monthly check-in template, SBI feedback formula | | Scoring | Weig...
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