writing-spec
Use when creating formal specifications with acceptance criteria. Covers spec structure, pre/post-conditions, invariants, interface definitions, and formal acceptance testing requirements.
Browse published AI skills maintained by ian-pascoe. Compare skill descriptions and follow each source repository for setup instructions.
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Use when creating formal specifications with acceptance criteria. Covers spec structure, pre/post-conditions, invariants, interface definitions, and formal acceptance testing requirements.
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
Use when building web components, pages, or applications that need distinctive, production-grade interfaces. Helps avoid generic AI aesthetics with bold, intentional design choices.
Use when creating, editing, or reviewing OpenCode plugins. Covers plugin structure, event hooks, TypeScript typing, custom tools, dependency management, and common patterns like notifications and compaction hoo...
Use when creating, editing, or reviewing implementation plans. Covers plan structure, version headers, task phases, acceptance criteria, and checkpoint format.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt temp...
Use when creating, editing, or reviewing custom OpenCode tools. Covers tool definition structure, argument schemas with Zod, context access, multi-tool files, and invoking scripts in other languages.
Use when creating, editing, or reviewing agent configuration files (AGENT.md or opencode.json agents). Covers frontmatter options, mode selection, tool permissions, and common patterns.
Use when creating, editing, or reviewing custom OpenCode commands. Covers frontmatter options, prompt templating with arguments and shell output, file references, and agent/model configuration.
Use when creating, editing, or reviewing SKILL.md files for AI agents. Covers frontmatter requirements, naming conventions, structure patterns, and common mistakes.
Use when cleaning up Git history, applying commits across branches, finding bug introductions, or recovering from mistakes. Covers rebase, cherry-pick, bisect, worktrees, and reflog.
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.