dialectical-autocoder
Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.
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Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.
Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.
Analyze and improve the AI agent workforce system, ensuring compatibility across environments (CLI, IDE, GitHub) and leveraging emerging technologies.
Create distinctive, mobile-first Next.js interfaces with high design quality. Use when building pages, components, or layouts. Generates polished code that avoids generic AI aesthetics.
Session continuity for Claude Code. Gather context at start, archive state at end. Use when user mentions handoff, saving progress, or resuming work.
Write effective CLAUDE.md files that serve as persistent memory for Claude Code. Use when creating, reviewing, or improving project instructions for AI assistance. Triggers: CLAUDE.md, project instructions, mem...
Implement Zettelkasten-inspired knowledge management for building and maintaining context libraries with automated cross-referencing. Use when organizing executive knowledge, building context libraries, or impl...
Implement automated operational review rhythms (daily/weekly/monthly/quarterly) for knowledge synthesis, gap detection, and strategic alignment. Use when establishing executive review cadences, automating knowl...
Initialize work sessions with context loading, recent history review, and co-pilot agent spawning. Use when starting work sessions, switching between projects, or needing focused context for deep work.
Specification-driven development workflow for AI agents. Use when tasks are too large for a single session, require multi-step implementation, span multiple files/features, or need persistent requirements track...
Spawns a focused subagent to query language/framework documentation. Use for complex questions requiring exploration across multiple symbols, external library APIs, or understanding how to combine types from di...
Spawns subagents with configurable tool access that return just the answers without flooding your context. Use for summarizing extensive git history, comparing across multiple repositories in parallel, or proce...
Handles customer data responsibly by answering questions ABOUT data without ever seeing the data directly. Use when querying Redis, databases, logs, or any source containing customer information like JIDs, emai...
Creates well-structured Agent Skills following best practices. Use when writing new skills, reviewing existing skills, or when the user mentions skill authoring or Skills.
SuperClaude 增强层 Skill,为其他 Skills 提供 SuperClaude 能力增强。 支持前置分析、后置审查、智能建议等增强模式。
Autonomous AI coding loop with PRD-based task tracking. Use when user says "leo-wiggum", "/leo-wiggum", "start leo loop", "autonomous coding", "run leo", or wants to implement a feature using iterative AI sessi...
Opinionated constraints for building better interfaces with agents.
Create custom slash commands for AI coding assistants.
Generates session summaries and resume prompts for multi-session work. Use when completing features, before context limits (~50% capacity), or when user says "summary", "wrap up", "save progress", "end session"...
Use when asked for "deep research", "thorough analysis", "comprehensive report", "investigate", "due diligence", or when multiple sources are needed to answer complex questions. Produces well-sourced research r...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
This skill should be used when generating developer onboarding documentation including architecture overviews, setup guides, code tours, and decision records.
Launch background Claude sessions to explore and analyze business ideas. Say "Idea: [description]" to trigger.
Write AI-readable documentation following concise-over-comprehensive principle, hierarchical CLAUDE.md/AGENTS.md inheritance (100-200 line rule), structured formats (tables over prose), parallel validation, and...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.