Skill profile
Use this profile when you want to author, package, and iterate on Claude Code skills instead of keeping workflow logic trapped in ad-hoc prompts. It fits teams standardizing repeatable development flows across repositories.
SkillsMP • Last reviewed 2026-04-02
Follow the upstream source for installation instructions.
This profile is useful for evaluation and workflow context, but WhichAITools did not verify one direct install command for it. Use the linked source instructions instead of guessing.
Developers and prompt owners who are building an internal skill library for Claude Code and need a cleaner authoring loop.
This profile focuses on the skill-building layer around Claude Code: shaping reusable instructions, organizing skill files, and refining workflow packs so they can be shared across projects. It helps turn one-off prompt experiments into maintainable assets with clearer boundaries, naming, and operator intent.
Developers and prompt owners who are building an internal skill library for Claude Code and need a cleaner authoring loop.
It centers on skill production itself rather than only on using finished Claude Code workflows.
Move back to the category or hub instead of jumping to the homepage and losing context.
Review methodology and manuals before treating a public profile or copied command like production-ready guidance.
When the profile belongs to OpenClaw operations, continue inside the OpenClaw cluster instead of starting over.
从 SkillsMP 发现的 skill，autoScore 6/10。需要人工审查后方可升级至 bruce-tested。
Skill authoring category • Guides • Skills overview • Submit • Advertise
Use this profile when the goal is to turn repeated prompts into stable, reviewable skills rather than one-off automation sprawl.
Use this profile when you are comparing Claude Code skill collections and need a clear mental model for what a package is, how SKILL.md-based bundles work, and how to evaluate them before installation.
Use this profile when you want to shape Claude Code into a repeatable build system for prompts, hooks, and project bootstrap steps. It fits teams formalizing how new repos get AI-ready defaults.