think-ahead
AI thinking partner for strategy and planning. Reads the current work state, analyzes progress, and helps you plan the next phase while the worker instance builds. Triggered by "think ahead".
浏览 AbeJitsu 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
22收录技能的仓库 Stars 合计
0仓库 Forks
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。
AI thinking partner for strategy and planning. Reads the current work state, analyzes progress, and helps you plan the next phase while the worker instance builds. Triggered by "think ahead".
Set up and orchestrate parallel Claude Code agents using git worktrees. Use this skill when the user wants to parallelize a feature across multiple agents, spawn worktrees, or merge agent work back together.
Spawn 5 parallel agents applying quality principles across planning, building, and validating code. Use when designing features, making decisions, or checking work. Triggers on "launch a swarm" or when ensuring...
Scan codebase for Pragmatic Programmer anti-patterns. Reports findings. Triggers on "pragmatic audit" or "/pragmatic-audit".
Scan codebase for Pragmatic Programmer anti-patterns. Reports findings. Triggers on "pragmatic audit" or "/pragmatic-audit".
Draft meaningful save messages that explain what changed and why it matters. Use when saving your work or explaining updates you've made.
AI thinking partner for strategy and planning. Reads the current work state, analyzes progress, and helps you plan the next phase while the worker instance builds. Triggered by "think ahead".
Set up and orchestrate parallel Claude Code agents using git worktrees. Use this skill when the user wants to parallelize a feature across multiple agents, spawn worktrees, or merge agent work back together.
Spawn 5 parallel agents applying quality principles across planning, building, and validating code. Use when designing features, making decisions, or checking work. Triggers on "launch a swarm" or when ensuring...
Use AI to merge individual page HTML files into a unified chapter document. Creates continuous document format for improved reading experience and semantic consistency.
Use AI to create ASCII text-based preview of PDF page layout. Transforms visual and extracted data into structured ASCII representation for HTML generation.
Generate comprehensive quality report with metrics and verification. Produces final CHAPTER_XX_VERIFICATION.md and quality_metrics.json for deployment approval.
Verify the final deliverable meets all quality criteria before delivery. Use as the final validation step to ensure the output meets the user's quality standards across all 6 dimensions.
Automatically draft commit messages by analyzing git status and staged changes
Check if code is readable by non-developers - clear names, plain English comments, no jargon
Validate that input meets prerequisites based on the user's saved standards for the project type. Use at the start of any quality pipeline to ensure the user has provided sufficient requirements.
Validate HTML5 structure and basic syntax. BLOCKING quality gate - stops pipeline if validation fails. Ensures deterministic output quality.
Use AI to recreate PDF page as semantic HTML. Consumes three inputs (PNG image, parsed text, ASCII preview) for complete contextual understanding and accurate generation.
Standardize formatting and apply consistent style to the deliverable. Use after generation to ensure the output matches the user's formatting standards and conventions.
Extract rich data from PDF pages including text spans with metadata, rendered PNG images, and page mapping. Creates persistent artifacts for downstream processing.
Use AI to compare rendered HTML to original PDF page. AI makes contextual judgment about visual accuracy with explainable reasoning. BLOCKING quality gate - stops pipeline if score below 85%.
Create the deliverable (code, documentation, tests, content) following the user's standards and best practices. Use after validation passes to actually build the work product.
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。