Packs

1 pack

Implement Plan with Git Workflow

Execute a predefined implementation plan step by step using isolated git worktrees and structured version control.

6 skills · pack

Results for “version-control”

12 skills

Essential Git patterns for effective version control, eliminating redundant Git guidance per agent.

Manages the lifecycle of large language models in production, covering model versioning, prompt management, inference optimization, and cost control.

More results

projectious-work

migration-management

Manage Migration entities — pending, in-progress, and applied transitions between upstream source versions. Use when an upstream source bumps version (processkit, a host installer, or a community package), when a user wants to draft a migration plan, when an agent needs to reason about pending migrations, or when working through an in-progress migration.

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.

version-compatibility

`analysis-agent`/`task-agent`/`review-agent`: use when API, schema, event, or behavior changes need compatibility, deprecation, rollout, or migration; skip without version impact.

Use when testing, fixing, or extending the MarketingClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.

model-version-protocol

Model-trader version compatibility protocol: Embed version metadata in checkpoints, validate at load time. Trigger when: (1) training and live trading versions diverge, (2) models fail to load, (3) action interpretation issues.

Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework

git-flow-branch-creator

Analyzes current git changes and creates an appropriate branch following the Git Flow branching model.

Guides through interactive deployment of Azure OpenAI models with full control over version, SKU, capacity, content filtering, and advanced options.