Scaffold project: clone repo, install real library. Only invoke when explicitly requested by the user or by the yoink orchestrator.
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See how to installReview the instructions the agent will receive before you install.
Do not invoke this skill unless explicitly requested. It is called by
/yoink:yoinkor run standalone by the user.
Execute the setup script to scaffold the project:
"${CLAUDE_SKILL_DIR}/scripts/setup.sh" $ARGUMENTS
After the setup script runs, print its full output to the user verbatim.
CRITICAL: After setup completes, check the cloned repo for a Python package (e.g., pyproject.toml, setup.py, or setup.cfg in .yoink/reference/). If none are found, inform the user that YOINK currently only supports Python packages and exit. You MUST NOT proceed to subsequent phases.
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Phase 2: Generate and discover tests, validate against real library. Only invoke when explicitly requested by the user or by the yoink orchestrator.
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Phase 3: Dependency decomposition. Only invoke when explicitly requested by the user or by the yoink orchestrator.
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This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings", or wants to make plugin behavior configurable. Documents the .claude/plugin-name.local.md pattern for storing plugin-specific configuration with YAML frontmatter and markdown content.
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This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.
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Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
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Curate tests then decompose dependencies
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