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Plankton Code Quality

plankton-code-quality

affaan-m/everything-claude-code

Plankton enforces Claude Code writing-time quality by running formatters and linters on every edit, generating Claude subprocesses to repair remaining violations, and shielding linter configs and package managers across Python, TypeScript, Shell, and documentation.

Requesting Code Review

requesting-code-review

obra/superpowers

Explains when to call the code-reviewer subagent, how to collect SHAs, fill the template, and act on its feedback so every task, feature, or merge meets quality expectations.

scVelo RNA Velocity Workflow

K-Dense-AI/claude-scientific-skills

Provide a comprehensive toolkit for RNA velocity inference in single-cell RNA-seq data, modeling unspliced/spliced kinetics to infer differentiation directions, latent time, and driver genes while complementing Scanpy pipelines.

Skill Security Auditor

skill-security-auditor

alirezarezvani/claude-skills

Skill Security Auditor scans AI agent skills before installation, flagging command injections, prompt tampering, dependency risks, and filesystem abuses while providing verdicts and remediation guidance for CLIP plugins or Codex skills.

Subagent Driven Development

subagent-driven-development

obra/superpowers

Guides execution of implementation plans by dispatching isolated subagents per task, enforcing a spec-first then quality review loop, and preserving overall coordination context for faster, high-quality iterations.

Skill Invocation Guide

using-superpowers

obra/superpowers

Defines how to discover and invoke Superpowers skills before responding, emphasizing mandatory skill checks, priority rules, and how skills interact with other instructions.

What-If Oracle Explorer

K-Dense-AI/claude-scientific-skills

Structured system that runs multi-branch “what if” analyses to map possibility spaces, stress-test strategic options, and surface triggers so users can prepare confident responses before committing resources.

Channel Evaluation Advisor

acquisition-channel-advisor

deanpeters/Product-Manager-Skills

Guides product and growth teams through evaluating whether to scale, test, or kill acquisition channels using unit economics (CAC, LTV, payback), customer quality (retention, NRR), and scalability indicators for data-driven go-to-market budgeting.

AI-Shaped Readiness Advisor

ai-shaped-readiness-advisor

deanpeters/Product-Manager-Skills

Interactive assessment that gauges whether your product work is AI-first or AI-shaped, measures readiness across five essential PM competencies for 2026, highlights gaps, and recommends which AI capability to build next.

Context Engineering Advisor

context-engineering-advisor

deanpeters/Product-Manager-Skills

Helps product managers diagnose whether AI workflows rely on indiscriminate context stuffing or deliberate context engineering, then apply bounded domains, retrieval, and Research→Plan→Reset→Implement practices to improve reliability and output quality.

Customer Journey Blueprint

customer-journey-map

deanpeters/Product-Manager-Skills

Generate a customer journey map covering awareness through loyalty, capturing actions, touchpoints, emotions, KPIs, goals, and team owners to surface pain points, align functions, and guide measurable experience improvements.

Lightning Architecture Review

lightning-architecture-review

sickn33/antigravity-awesome-skills

Assess Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs by reviewing trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness, and watchtower breach detection for architecture reviewers.

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