create-plugin/skills/create-plugin-scaffold/SKILL.md
Create a new Cursor plugin scaffold with a valid manifest, component directories, and marketplace wiring. Use when starting a new plugin or adding a plugin to a multi-plugin repository.
npx skillsauth add cursor/plugins create-plugin-scaffoldInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You need to create a new Cursor plugin from scratch and make it ready for local use or marketplace submission.
rules, skills, agents, commands, hooks, mcpServers)single-plugin or multi-plugin marketplace)By default, create the plugin inside the user's local plugin directory:
~/.cursor/plugins/local/<plugin-name>/
This path makes the plugin immediately available to Cursor without any install step. If the user explicitly asks to create the plugin elsewhere (e.g. inside an existing repo or a specific directory), respect that choice instead.
~/.cursor/plugins/local/<plugin-name>/.cursor-plugin/plugin.jsonREADME.mdLICENSECHANGELOG.mdplugin.json:
nameversion, description, author, license, keywords.mdc with description, alwaysApply, optional globsskills/<skill-name>/SKILL.md with name, descriptionagents/*.md with name, descriptioncommands/*.(md|txt) with name, description.cursor-plugin/marketplace.json, add plugin entry:
namesourcedescription, keywords, category, tags)~/.cursor/plugins/local/<plugin-name>/ unless the user provides a different path.plugin.json~/.cursor/plugins/local/ and ready for usedevelopment
Apply when you catch yourself writing the same instruction a second time, or notice a recurring correction. Encode the rule as a lint, metadata flag, runtime check, or script instead of more text.
tools
Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.
tools
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.
data-ai
Cut AI tells from any writing. Must always apply.