Claude Skills by thiagofernandes1987-create

Implement — Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configurin

Adding subscription billing to any web app

Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, generate mocks or stubs, or mentions testing frameworks like Jest, pytest, or JUnit.

Implement — Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, evaluating technology stacks, calcul

Implement — Use when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry. Covers hypothesis-driven threat hunting, IOC sweep generation, z-sco

Implement — 25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Agent design, RAG, MCP servers, CI/CD, database design, observability, securi

Implement — Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.

A single prompt is insufficient for task complexity

Implement — Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric

Implement — Read, write, and browse the AgentHub message board for agent coordination.

Evaluate and rank agent results by metric or LLM judge for an AgentHub session.

Create a new AgentHub collaboration session with task, agent count, and evaluation criteria.

Use this skill when the task requires merge capabilities.

Implement — One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.

Implement — Launch N parallel subagents in isolated git worktrees to compete on the session task.

Implement — Show DAG state, agent progress, and branch status for an AgentHub session.

Use this skill when the task requires api design reviewer capabilities.

Implement — Use when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests.

Implement — Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy

Implement — Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling.

Implement — Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.

Run a single experiment iteration. Edit the target file, evaluate, keep or discard.

Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator.

Implement — Show experiment dashboard with results, active loops, and progress.

Implement — Use when the user wants more human-like AI responses — less robotic, less listy, more authentic. Triggers:

Implement — Use when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT f

Implement — Changelog Generator

Implement — CI/CD Pipeline Builder

Implement — Use when the user asks to create a CodeTour .tour file — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: create a tour, onboardin

Onboarding a new team member or contractor

Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan.

Implement — Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.

Implement — Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.

Implement — Use when the user asks to create a demo video, product walkthrough, feature showcase, animated presentation, marketing video, or GIF from screenshots or scene descriptions. Orchest

Use this skill when the task requires dependency auditor capabilities.

Implement — Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: u

Before pushing commits that touched env/config files

Implement — Use when the user asks to fix, debug, or make a specific feature/module/area work end-to-end. Triggers:

You need 2+ concurrent branches open locally

Implement — Helm chart development agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw — chart scaffolding, values design, template patterns, dependency management, sec

Implement — This skill should be used when the user asks to 'design interview processes', 'create hiring pipelines', 'calibrate interview loops', 'generate interview questions', 'design compet

Implement — Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt caching, or build cost observability for AI features. Trigger

You need to expose an internal/external REST API to an LLM agent

Use this skill when the task requires migration architect capabilities.

Multiple packages/apps share code (UI components, utils, types, API clients)

Implement — Observability Designer (POWERFUL)

App is slow and you don't know where the bottleneck is

Implement — Use when the user asks to review pull requests, analyze code changes, check for security issues in PRs, or assess code quality of diffs.

Implement — Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval pipe

Implement — Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.