浏览 tylerburleigh 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。
已收录技能
12收录技能的仓库 Stars 合计
72仓库 Forks
12平均每个技能的仓库 Stars
6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。
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.
Plan-first development methodology that creates detailed specifications before coding. Use when building features, refactoring code, or implementing complex changes. Creates structured plans with phases, file-l...
Apply spec modifications systematically. Use to apply review feedback, bulk modifications, or interactive spec updates with safety checks, validation, and rollback support.
Targeted query capabilities for machine-readable codebase documentation with cross-reference tracking, call graph analysis, and workflow automation. Enables fast lookups of classes, functions, dependencies, and...
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.
Multi-model consultation for SDD specifications providing structured feedback. Coordinates parallel AI reviewers, synthesizes actionable insights, and categorizes findings by feedback type without modifying spe...
Progress tracking for spec-driven development. Use to update task status, track progress, journal decisions, move specs between folders, and maintain spec files. Handles the administrative/clerical aspects of s...
Render JSON specs to human-readable markdown with AI-enhanced insights, visualizations, and progressive disclosure
Task preparation 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 - bridges...
LLM-powered documentation generation for narrative architecture docs, tutorials, and developer guides. Uses AI consultation to create contextual, human-readable documentation from code analysis and spec data.
Validate SDD JSON specs, auto-fix common issues, generate detailed reports, and analyze dependencies.
Comprehensive pytest testing and debugging framework. Use when running tests, debugging failures, fixing broken tests, or investigating test errors. Includes systematic investigation workflow with external AI t...
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。