Explorar skills

Activates CodeReviewer for systematic, multi-dimensional code review. Use when you need a pull request reviewed for correctness, security vulnerabilities, performance bottlenecks, architectural quality, test coverage gaps, or maintainability issues. Produces a structured review with severity-labeled findings and actionable fixes.

Cross-project pattern layer for the Peec AI growth loop. After any Peec skill completes (or after peec-report closes a cycle), extract 1–3 concrete patterns from the output and persist them to SkillMind via mcp__skillmind__add_pattern / remember. On the next orchestrator run, recall matching patterns and pass them in as priors — so lessons learned on project A inform decisions on project B. Use wh

Guidance for building and running a B2B conversion rate optimization program — covering research frameworks, testing strategy, CTA design, metrics, reporting, and organizational setup. Trigger when a user asks about improving conversion rates, CRO program structure, landing page optimization, email CTAs, or testing methodology.

Audit credit risk modeling software for scoring algorithm accuracy, regulatory compliance (ECOA, FCRA, SR 11-7), bias and disparate impact testing, model governance lifecycle, and explainability. Covers logistic regression, GBM, neural net evaluation, protected class proxy detection, adverse action notice generation, SHAP/LIME explainability, champion-challenger frameworks, and PSI drift monitorin

Use when the user needs ideas or a name — brainstorming, naming, developing an idea further, hybridizing ideas, stress-testing candidates, reframing a problem, or picking a final direction. Ideas persist in a per-topic logbook across sessions.

Turns Peec AI's get_actions recommendations + forum/UGC discovery into a prioritized outreach pipeline with pitch templates, contact extraction, status tracking, and success measurement. Goes beyond "here is a list of domains" — produces ready-to-send pitches, covers Reddit / Gutefrage / editorial / owned quadrants, and tracks citation gains week over week. Use when a Peec project has active compe

Analyze fleet safety programs including driver behavior scoring, accident trend analysis, CSA BASIC score monitoring, DOT audit readiness, Hours of Service compliance, and drug and alcohol testing programs. Covers telematics event review, dashcam AI classification, preventability determinations, roadside inspection management, and risk mitigation ROI per FMCSA regulations and CSA methodology.

Audit transit damage prediction and prevention systems for packaging failure mode analysis, handling chain risk assessment, claims pattern detection, and protection level optimization. Covers ISTA/ASTM test protocol correlation, product fragility profiling (G-level sensitivity), carrier handling characterization, last-mile risk factors, route-level damage scoring, IoT sensor integration (shock, ti

Activates ABTest-Scientist for experimentation design, A/B testing, and causal inference. Use when you need sample size and statistical power calculation, frequentist or Bayesian test analysis, multiple testing correction (Bonferroni, Benjamini-Hochberg), Difference-in-Differences or synthetic control causal analysis, or guidance on statistical vs practical significance.

Interactive tutorial teaching Claude Code fundamentals -- file ops, git, testing, context management, and advanced patterns. Use when: 'teach me claude code', 'how do I use claude code', 'claude code tutorial', 'learn claude code', 'getting started with claude code', 'claude code basics', 'how does claude code work'.

Deterministic 3-cycle loop for gathering codebase context before acting. Broad search → exact source and tests → target-specific docs and setup. Stop after enough context or report what is still missing.

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library