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Found 40 Skills
Review a Memory Bank with fresh-context specialists and produce a prioritized fix list.
Use when work is validated and ready to submit, to push to main and create PR for agent review
Use when converting a design document, PRD, or task list into beads issues - ensures lossless conversion with proper epic hierarchy, validated dependencies for maximum parallelization, and three independent subagent review passes before execution
After the task execution is completed, prompt the user to open a new Agent to review the uncommitted git code. Athletes should not act as referees; proceed with the wrap-up only after the review is approved.
Coordinates code quality checks: ln-511 code quality, ln-512 tech debt cleanup, ln-513 agent review, ln-514 regression. Sequential pipeline, returns results to ln-500.
Multi-agent quality improvement review with constructive feedback. Provides suggestions for best practices, code quality, alternatives, and performance optimization.
Coordinate multi-perspective project, code, docs, design, or delivery reviews into focused recommendations. Use for multiple subagents, perspectives, named roles like UI/UX, DevOps, architecture, security, docs, or integrated feedback before changes.
Code review practices with technical rigor and verification gates. Practices: receiving feedback, requesting reviews, verification gates. Capabilities: technical evaluation, evidence-based claims, PR review, subagent-driven review, completion verification. Actions: review, evaluate, verify, validate code changes. Keywords: code review, PR review, pull request, technical feedback, review feedback, completion claim, verification, evidence-based, code quality, review request, technical rigor, subagent review, code-reviewer, review gate, merge criteria. Use when: receiving code review feedback, completing major features, making completion claims, requesting systematic reviews, validating before merge, preventing false completion claims.
Comprehensive Elixir/Phoenix code review with optional parallel agents
Review a Ralph plan and bd graph for defects via a subagent.
Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Treats the current output as junior work, constructs a senior reviewer whose domain expertise comes from live codebase research plus web research of current best practices, diagnoses altitude failures (too vague or too granular), then rewrites the plan into a scoped, state-of-the-art version. Use when the user says "junior to senior", "senior review", "review this like a staff engineer", when a plan feels hand-wavy or lost in details, or before committing to any agent-written plan.
Validates optimization plan via parallel multi-agent review (Codex + Gemini) before execution. GO/NO-GO verdict.