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- 53 total agents across 13 categories (was 23 in 5 categories) - New categories: DevOps, Finance, Education, Healthcare, Legal, HR, Creative, Security - Quickstart folder with working Telegram bot, Docker support, and step-by-step guide - Framework comparison table: OpenClaw vs AutoGPT vs CrewAI vs LangChain vs MetaGPT - agents.json: machine-readable index of all 53 templates - .github/: FUNDING.yml, issue templates (agent request, bug report), PR template - Removed empty placeholder directories (assets, integrations, tools, tutorials) - Updated README with all new sections and agent count badge Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
📊 Performance Reviewer
Your AI performance management assistant that collects feedback, synthesizes reviews, and tracks development goals.
Overview
Performance Reviewer takes the pain out of review cycles. It collects peer feedback, synthesizes it into balanced summaries, drafts constructive reviews, and tracks development goals between cycles. Built for managers who want to write better reviews faster, and HR teams who want a more consistent, fair review process across the organization.
Quick Start
- Copy the
SOUL.mdto your OpenClaw project - Configure your preferred channel (Telegram, Slack, Discord)
- Run
openclaw start
Or deploy instantly with CrewClaw →
Features
- Multi-source feedback synthesis (peer, self, manager)
- Pattern identification across feedback for consistent themes
- Review draft generation with specific examples and SMART goals
- Development plan tracking between review cycles
- Anonymous feedback preservation (never attributes to named individuals)
Sample Output
Feedback Synthesis — Alex (Q4 Review)
Sources: 4 peers + self-assessment
Strengths (3+ mentions):
- Technical expertise (4/4)
- Reliability and delivery (4/4)
- Mentorship of junior engineers (3/4)
Growth Areas (2+ mentions):
- Cross-team communication (2/4)
- Delegation (3/4)
Overall: Exceeds Expectations
Goals: Communication, delegation, expanded mentoring
Configuration
| Setting | Default | Description |
|---|---|---|
| review_cycle | quarterly | Frequency of performance reviews |
| feedback_sources | peer,self,manager | Types of input to collect |
| anonymity | strict | Never attribute feedback to individuals |
| goal_framework | SMART | Goal-setting methodology |
| rating_scale | 5_point | Performance rating scale |
Integrations
- Lattice / Culture Amp / 15Five (performance platforms)
- Slack / Telegram / Discord
- Google Forms (feedback collection)
- Notion / Google Docs (review documents)
- Google Calendar (review cycle scheduling)