multi-reviewer-patterns
Parallel code reviews, one prioritized report.
Code review
GitHub publisher184 Skills2.3M installs
Person · Seth Hobson · major7apps.com · On GitHub since 2011
multi-reviewer-patterns
Parallel code reviews, one prioritized report.
Code review
team-communication-protocols
Keep agent teammates coordinated through handoffs.
Agent coordination
team-composition-patterns
Right-sized agent teams for your coding work.
Agent orchestration
evaluation-methodology
Understand what your PluginEval score really means.
Quality evaluation
hads
Make technical docs efficient for people and AI.
Technical documentation
block-no-verify-hook
Keep commit safeguards from being bypassed.
Commit safeguards
protect-mcp-setup
Give every tool call a policy gate and signed receipt.
Agent governance
signed-audit-trails-recipe
Add verifiable audit logs to Claude Code.
Agent audit trails
review-agent-setup
Put agent PR actions behind human approval.
Agent governance
scan
Keep your codebase docs in step with its changes.
Project documentation
recsys-pipeline-architect
Build ranking pipelines with runnable scaffolds.
Recommendation systems
social-publishing
Publish every campaign across your connected channels.
Social media publishing
before-you-build
Find the riskiest assumption before you build.
Product strategy
file-conversion
Convert your files without uploading them.
File conversion
ai-debt-detector
Catch hidden debt before AI-written code ships.
Code review
visual-edit-precision
Change the UI you point at, not everything around it.
Frontend development
session-guard
Keep long sessions aligned with your rules.
Agent workflow
hermes-tweet
Research X/Twitter with approval before account actions.
Social media research
dataset-curation
Turn raw examples into training-ready datasets.
Training data curation
eval-harness-first
Know what improves before you fine-tune.
Model evaluation
lora-qlora-recipes
Get an adapter configuration ready for training.
Model fine-tuning
finetuning-method-selection
Choose whether to train, and which method fits.
Model fine-tuning
preference-optimization
Turn preference feedback into a concrete training config.
Model fine-tuning
quantized-export
Your promoted model, exported and smoke-tested.
Model deployment