GitHub
adversarial-spec
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
☆ 487查看技能
research llm ai AI 技能
发现 research llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: research llm ai
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GitHub
gemini-review
Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration
☆ 481查看技能
GitHub
ai-models
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
☆ 481查看技能
GitHub
llm-patterns
AI-first application patterns, LLM testing, prompt management
☆ 481查看技能
GitHub
session-management
Context preservation, tiered summarization, resumability
☆ 481查看技能
GitHub
codex-review
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
☆ 481查看技能
GitHub
aeo-optimization
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
☆ 481查看技能
GitHub
agentic-development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
☆ 481查看技能
GitHub
ms-teams-apps
Microsoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API
☆ 481查看技能
GitHub
skill-creator
Guide for creating effective agent skills. Use when you want to create a new skill, improve an existing skill, or learn best practices for skill development. Helps codify learned patterns into reusable, discove...
☆ 469查看技能
GitHub
always-on-guidance
Always-on rule-oriented guidance for claude-plugin agents. Use to align behavior, tool usage, and model-specific defaults (GPT-5.2-code vs Opus 4.5) while avoiding deprecated bd/cass references.
☆ 469查看技能
GitHub
swarm-coordination
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
☆ 469查看技能
GitHub
swarm-coordination
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
☆ 469查看技能
GitHub
skill-creator
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...
☆ 469查看技能
GitHub
build-skill
Create effective skills for OpenCode agents. Load FIRST before writing any SKILL.md. Provides required format, naming conventions, progressive disclosure patterns, and validation. Use when building, reviewing,...
☆ 468查看技能
GitHub
helloagents
【HelloAGENTS】显式调用入口。使用 /helloagents 或 $helloagents 激活。
☆ 464查看技能
GitHub
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
☆ 461查看技能
GitHub
parallel-task
Execute plan files by launching multiple parallel subagents to complete tasks simultaneously. Triggers on explicit "/parallel-task" commands.
☆ 460查看技能
GitHub
using-superpowers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
☆ 459查看技能
GitHub
planner
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan",...
☆ 457查看技能
GitHub
llm-council
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge in...
☆ 457查看技能
GitHub
add-model
Add a new language model to the Giselle codebase. Use when the user wants to add, register, or integrate a new LLM model (OpenAI, Anthropic, Google) into the system.
☆ 456查看技能
GitHub
axiom-using-axiom
Use when starting any iOS/Swift conversation - establishes how to find and use Axiom skills, requiring Skill tool invocation before ANY response including clarifying questions
☆ 456查看技能
GitHub
coreml
Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models,...
☆ 456查看技能
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。