LLM & Agents

Use when implementing draft/publish workflows, version history, content rollback, or audit trails. Covers versioning strategies, snapshot storage, diff generation, and version comparison APIs for headless CMS.

Add anchor comments to code for documentation. Use when creating CLAUDE.md files, documenting patterns, or user says "add anchors", "document this code", "create documentation".

Building promotion cases, brag documents, tracking wins, and self-advocacy for career advancement. Use when preparing for promotions, documenting accomplishments, or building your case for advancement.

Determine risk level and select appropriate stakeholder agents for a task

Best practices for writing Claude Code skills, CLAUDE.md files, and prompts optimized for Opus 4.5. Use when creating or reviewing skills, writing agent instructions, or optimizing prompts for Claude 4.x models.

Complete Arweave Turbo ecosystem including client SDKs, core upload infrastructure, payment service backend, and CLI tools for permanent decentralized storage

Synchronizes CLAUDE.md navigation indexes and README.md architecture docs across a repository. Use when asked to "sync docs", "update CLAUDE.md files", "ensure documentation is in sync", "audit documentation", or when documentation maintenance is needed after code changes.

Design gateway scripts as entry points for agentic coding. Use when creating CLI entry points for agents, designing subprocess-based agent invocation, or building script interfaces for agentic workflows.

Central authority for Gemini CLI session management. Covers session resume, retention policies, session browser, and cleanup. Use when resuming Gemini sessions, configuring retention, browsing past sessions, or managing session storage. Delegates 100% to gemini-cli-docs for official documentation.

Browser automation skill for Lovable deployments. Activates when:- yolo_mode: on in CLAUDE.md- Running /deploy-edge or /apply-migration commands- After git push when auto_deploy: on (automatic detection)- Any mention of "yolo mode", "automate Lovable", "browser automation"Automatically navigates to Lovable.dev and submits deployment prompts.Runs verification tests based on configuration.Auto-deploys after git push when enabled.

Generate code in SLOP (Symbolic LLM-Optimized Programming), a language designed for minimal human involvement in coding. Use when: (1) User asks for SLOP code, (2) Need strong contracts and range types, (3) Creating code with typed holes for incremental generation, (4) Generating efficient C code. SLOP uses S-expression syntax and transpiles to C.

Cloudflare Workers KV for low-latency key-value storage at the edge

Cloudflare R2 object storage with S3-compatible API and zero egress fees

Review AI prompts and instructions for conciseness and clarity. Use when reviewing skills, CLAUDE.md, slash commands, or any LLM prompt content.

Strategic patterns for codebase exploration using Gemini's large context window. Covers token thresholds, model routing, and exploration strategies. Use when deciding between Claude and Gemini for exploration, analyzing large codebases, or choosing between Flash and Pro models for context size.

Execute workflow agents iteratively for refinement and progressive improvement. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until quality criteria are met.

Analyzes user questions and automatically dispatches optimal agents/skills/plugins

This skill should be used when the user asks about "documentation templates", "doc structure", "README format", "API documentation format", "how to write tutorials", "documentation checklist", or when the documentation-writer agent needs templates and workflows for specific documentation types. Provides Diataxis-based templates, checklists, and examples for 7 documentation types.

Manage git worktrees with PR workflow and multi-agent review (Claude + Codex). Use when developing features in isolation with easy rollback.

@effect/ai integration patterns for categorical AI composition, typed error handling, and production prompt pipelines. Use when building AI applications with Effect-TS, composing LLM calls with typed errors, creating tool-augmented AI systems, implementing structured output generation, or integrating multiple AI providers (OpenAI, Anthropic) with categorical composition patterns.