Architect code review with DRY, YAGNI, abstraction, and test coverage principle enforcement

Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.

Parallel design review by 6 specialist agents (PM, Architect, Designer, Security Design, UX, CTO) with mandatory unanimous approval.

Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.

Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.

Adversarial plan review by 3 independent reviewers (Feasibility, Completeness, Scope & Alignment) before presenting to user.

Monitor PR lifecycle from creation through merge including CI monitoring, review comment handling, thread resolution, and merge readiness verification.

Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.

Specification creation and management for the Pilot Shell methodology. Covers semantic search, clarifying questions, structured spec generation, and iterative refinement.

Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.

Final completion discipline including summary generation, plan document updates, and confirmation that all success criteria from the original plan are satisfied.

Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.

Security vulnerability assessment identifying OWASP risks, injection vectors, authentication issues, and data exposure with severity classification.

Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.

Establish project governing principles including dev guidelines, code quality standards, testing policies, UX requirements, performance benchmarks, and security constraints.

Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.

Use when receiving code review feedback, before implementing suggestions. Requires technical rigor and verification, not blind implementation.

Use when completing tasks, implementing major features, or before merging to verify work meets requirements.

Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.

Assist in constructing algorithm correctness proofs

Expert integration with Slither static analyzer for smart contract vulnerability detection, code quality analysis, and security reporting. Supports all Slither detectors and custom analysis configurations.

Generate performance review documentation and facilitate evaluation processes

DMAIC methodology execution skill with tollgate reviews, documentation templates, and project tracking

Lessonly (Seismic Learning) training platform integration

Contract analysis and negotiation support skill with clause extraction and risk identification

Quarterly Business Review preparation and facilitation skill with agenda and materials generation

Analyzes board decks for trends, flag issues, prepare discussion points

Static code analysis, technical debt assessment, engineering velocity metrics

Extracts key terms from contracts, identifies risks, flags unusual provisions

Patent landscape analysis, IP strength assessment, freedom to operate review

Automated technical architecture review, security assessment, scalability analysis

IGV integration skill for interactive genome visualization and review

Systematic literature review skill for clinical evaluation supporting regulatory submissions

Design review planning and execution skill for structured design phase gate reviews per 21 CFR 820.30

Pre-Startup Safety Review checklist generation skill for startup readiness verification

Construction submittal tracking skill for document management and review workflow

Interface with MathSciNet for mathematical reviews

Skill for formal design review preparation and execution (PDR/CDR)

Skill for design for manufacturing review and optimization

AI-assisted literature review for question-answering over papers and evidence synthesis

Skill for simulating peer review feedback on manuscripts

Biomedical literature mining using PubMed/MEDLINE for systematic review support

Conduct systematic quality reviews of instructional materials using established rubrics (Quality Matters) and design standards

Review clinical documentation and assigned codes for accuracy, compliance, and optimization, identifying documentation improvement opportunities and coding errors

Prepare ethics applications, develop informed consent protocols, and navigate institutional review processes for human subjects research

Prepare manuscripts following APA, ASA, or discipline-specific guidelines with proper reporting standards and peer review navigation

Navigate institutional review board processes, informed consent, confidentiality, and ethical considerations in human subjects research

Conduct comprehensive literature searches, quality assessments, evidence synthesis, and meta-analyses

RTL code quality checking and linting. Runs lint rules, identifies synthesis issues, detects inferred latches, and generates lint reports with waivers.

Vercel deployment, edge functions, environment configuration, and preview deployments.