GitHub
foundry-pr
AI-powered PR creation after spec completion. Analyzes spec metadata, git diffs, commit history, and journal entries to generate comprehensive PR descriptions with user approval before creation.
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foundry-works AI Skills
GitHub ↗浏览 foundry-works 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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已收录技能
9收录技能的仓库 Stars 合计
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0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
foundry-spec
Spec-first development methodology that creates detailed specifications before coding. Creates structured specs with phases, file-level details, and verification steps. Includes automatic AI review, modificatio...
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GitHub
foundry-note
Fast-capture intake queue for ideas and follow-up tasks. Add items quickly, list pending items, or dismiss resolved ones.
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GitHub
foundry-test
Systematic test debugging with 5-phase investigation workflow. Use when debugging test failures, investigating complex errors, or when AI consultation would help. Uses native test commands with optional AI cons...
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GitHub
foundry-refactor
Safe refactoring operations using LSP for precise symbol resolution. Supports rename, extract function/method, and move symbol operations with automatic reference updates.
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GitHub
foundry-review
Review implementation fidelity against specifications by comparing actual code to spec requirements. Identifies deviations, assesses impact, and generates compliance reports for tasks, phases, or entire specs.
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GitHub
foundry-setup
First-time setup for the foundry plugin (plugin:foundry@claude-foundry)
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GitHub
foundry-research
AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase...
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GitHub
foundry-implement
Task implementation skill for spec-driven workflows. Reads specifications, identifies next actionable tasks, and creates detailed execution plans. Use when ready to implement a task from an existing spec - brid...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。