Explorar skills

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

Workflow for authoring or revising any Claude Code configuration — skills (SKILL.md), CLAUDE.md guardrails, settings.json (permissions, hooks, env, model), sub-agents, slash commands, MCP server entries, plugins, and the install or sync scripts around them. Operates from working knowledge of LLMs, agent harnesses, and context engineering so the configuration it produces leverages how Claude Code a

Audit agent configuration files for security vulnerabilities and misconfigurations. Covers settings.json, .mcp.json, .codex/config.toml, AGENTS.md, hooks, plugin manifests, and relay config. Classify findings as P0 or P1.

Audit public sector and government resource allocation systems for budget optimization algorithms (zero-based, incremental, performance-based), service demand forecasting (ARIMA, Prophet, regression), equity-based distribution scoring (CDC SVI, environmental justice indices, disparate impact analysis), GIS geographic coverage and service gap analysis, workload-based staffing models, grant drawdown

Write state-restoration documents for passing tasks between agents or engineers.

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 optimizing agent runtime loops, card packs, MCP session lifecycle, tool-call count, or multi-agent orchestration patterns.

Analyze franchise expansion plans, model new market entry, score site selection candidates, map territory density, assess cannibalization risk, and build multi-year growth scenarios. Covers market feasibility scoring, Huff gravity models, trade area overlap analysis, white space identification, and unit-level investment returns for franchise development teams.

Analyze insurance underwriting systems for risk assessment accuracy, pricing adequacy, and portfolio exposure management. Evaluates predictive models (GLM, GBM), rating algorithms, loss ratio performance by line of business, guideline automation engines, regulatory compliance (NAIC, SERFF filings), and model governance following SR 11-7 standards across personal, commercial, and specialty lines.

Polishes UI primitives one at a time using 2026 research-backed patterns — adds loading/icon states to buttons, replaces inline skeletons with primitives, adds secondary actions to errors, ensures 48px touch targets and visible focus indicators, applies a standard motion token ladder. Use when: 'make the UI feel more polished', 'add attention to detail', 'reduce component duplication', 'tighten th

Analyze medication adherence and management platforms including dose tracking accuracy (MPR, PDC metrics), drug-drug and drug-food interaction checking completeness, refill prediction algorithms, dosage schedule optimization with conflict detection, caregiver notification escalation workflows, pharmacy system integration (NCPDP, HL7 FHIR), adverse event signal detection, smart dispenser integratio

Fast quality gate — detects stack, runs static analysis, checks cross-layer consistency, fixes issues. Run between every pipeline phase, before every commit push, after every feature batch. Lighter than /analyze but catches the same critical issues.