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Data & AI AI Skills

Discover Data & AI skills, compare source repositories and read the instructions for each workflow.

Categories: Data & AI

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GitHub

cass-memory

johnlindquist

Contextual learning system that remembers patterns and rules from past sessions. Use to get relevant context before tasks, record outcomes, and build a personal playbook of coding patterns.

GitHub

mcp-spy

johnlindquist

Debug MCP server communication. Use for troubleshooting MCP integrations, viewing traffic, and analyzing latency.

GitHub

beads

johnlindquist

Track tasks and issues using the bd CLI. Use for task management, sprint planning, dependency tracking, and project organization. Replaces TodoWrite.

GitHub

design

johnlindquist

Design system and token management. Use for managing design tokens, colors, typography, and maintaining design consistency.

GitHub

testgen

johnlindquist

Generate tests using AI and run test suites. Use for generating unit tests, running coverage reports, and mutation testing.

GitHub

ubs

johnlindquist

Ultimate Bug Scanner - scan code for bugs across 7 languages (JS/TS, Python, Go, Rust, Java, C++, Ruby). Use before commits to catch null safety issues, security holes, async bugs, and memory leaks.

GitHub

council-orchestrator

xrf9268-hue

Orchestrates multi-model LLM consensus through a three-phase deliberation protocol. Use when you need collaborative AI review, multi-model problem-solving, code review from multiple perspectives, or consensus-b...

GitHub

dependency-health

yaleh

Security-first dependency management methodology with batch remediation, policy-driven compliance, and automated enforcement. Use when security vulnerabilities exist in dependencies, dependency freshness low (o...

GitHub

cicd-optimization

yaleh

Comprehensive CI/CD pipeline methodology with quality gates, release automation, smoke testing, observability, and performance tracking. Use when setting up CI/CD from scratch, build time over 5 minutes, no aut...

GitHub

knowledge-transfer

yaleh

Progressive learning methodology for structured onboarding using time-boxed learning paths (Day-1, Week-1, Month-1), validation checkpoints, and scaffolding principles. Use when onboarding new contributors, red...

GitHub

technical-debt-management

yaleh

Systematic technical debt quantification and management using SQALE methodology with value-effort prioritization, phased paydown roadmaps, and prevention strategies. Use when technical debt unmeasured or subjec...

GitHub

code-refactoring

yaleh

BAIME-aligned refactoring protocol for Go hotspots (CLIs, services, MCP tooling) with automated metrics (e.g., metrics-cli, metrics-mcp) and documentation.

GitHub

baseline-quality-assessment

yaleh

Achieve comprehensive baseline (V_meta ≥0.40) in iteration 0 to enable rapid convergence. Use when planning iteration 0 time allocation, domain has established practices to reference, rich historical data exist...

GitHub

retrospective-validation

yaleh

Validate methodology effectiveness using historical data without live deployment. Use when rich historical data exists (100+ instances), methodology targets observable patterns (error prevention, test strategy,...

GitHub

methodology-bootstrapping

yaleh

Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology...

GitHub

error-recovery

yaleh

Comprehensive error handling methodology with 13-category taxonomy, diagnostic workflows, recovery patterns, and prevention guidelines. Use when error rate >5%, MTTD/MTTR too high, errors recurring, need system...

GitHub

testing-strategy

yaleh

Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to...

GitHub

rapid-convergence

yaleh

Achieve 3-4 iteration methodology convergence (vs standard 5-7) when clear baseline metrics exist, domain scope is focused, and direct validation is possible. Use when you have V_meta baseline ≥0.40, quantifiab...

GitHub

agent-prompt-evolution

yaleh

Track and optimize agent specialization during methodology development. Use when agent specialization emerges (generic agents show >5x performance gap), multi-experiment comparison needed, or methodology transf...

GitHub

api-design

yaleh

Systematic API design methodology with 6 validated patterns covering parameter categorization, safe refactoring, audit-first approach, automated validation, quality gates, and example-driven documentation. Use...

GitHub

observability-instrumentation

yaleh

Comprehensive observability methodology implementing three pillars (logs, metrics, traces) with structured logging using Go slog, Prometheus-style metrics, and distributed tracing patterns. Use when adding obse...

GitHub

tech-manga-explainer

lqshow

生成技术科普漫画,用对话形式解释复杂的技术概念。当用户请求「用漫画解释技术」「生成技术科普漫画」「把这个技术概念画成漫画」「漫画教程」「用漫画讲解 XXX」或类似需求时使用。适合 n8n、Kubernetes、AI、编程、架构等技...

GitHub

food-diorama-skill

lqshow

Generate 3D historical gourmet diorama images for Chinese cities using Google Gemini API. Creates artistic miniature food worlds with four-quadrant layouts featuring iconic dishes, Pop Mart style figures, and c...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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