Browse Skills
22656 skills found
gemini-image.md
15
1
export
gemini-image
2
from
"Ceeon/gemini-image-skill"
from
"Ceeon/gemini-image-skill"
3
当用户想要生成图片、画图、绘画、创建图像、AI作画时使用此 Skill。支持文生图和图生图。
2026-01-21
rails-ai:project-setup.md
15
1
export
rails-ai:project-setup
2
from
"zerobearing2/rails-ai"
from
"zerobearing2/rails-ai"
3
Setting up and configuring Rails 8+ projects - Gemfile dependencies, environment config, credentials, initializers, Docker, RuboCop, project validation
2026-01-20
grey-haven-llm-project-development.md
15
1
export
grey-haven-llm-project-development
2
from
"greyhaven-ai/claude-code-config"
from
"greyhaven-ai/claude-code-config"
3
Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features, data processing pipelines, agents, or any LLM-integrated system. Inspired by Karpathy's methodology and production case studies.
2026-01-21
systematic-debugging.md
15
1
export
systematic-debugging
2
from
"galangryandana/superpowers-for-my-own-workflow"
from
"galangryandana/superpowers-for-my-own-workflow"
3
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
2026-01-05
grey-haven-smart-debugging.md
15
1
export
grey-haven-smart-debugging
2
from
"greyhaven-ai/claude-code-config"
from
"greyhaven-ai/claude-code-config"
3
AI-powered intelligent debugging with stack trace analysis, error pattern recognition, and automated fix suggestions. Use when debugging complex errors, analyzing stack traces, or performing root cause analysis. Triggers: 'debug', 'error analysis', 'stack trace', 'root cause', 'troubleshooting'.
2026-01-21
grey-haven-evaluation.md
15
1
export
grey-haven-evaluation
2
from
"greyhaven-ai/claude-code-config"
from
"greyhaven-ai/claude-code-config"
3
Evaluate LLM outputs with multi-dimensional rubrics, handle non-determinism, and implement LLM-as-judge patterns. Essential for production LLM systems. Use when testing prompts, validating outputs, comparing models, or when user mentions 'evaluation', 'testing LLM', 'rubric', 'LLM-as-judge', 'output quality', 'prompt testing', or 'model comparison'.
2026-01-21
subagent-prompt-construction.md
15
1
export
subagent-prompt-construction
2
from
"yaleh/meta-cc"
from
"yaleh/meta-cc"
3
Systematic methodology for constructing compact (<150 lines), expressive, Claude Code-integrated subagent prompts using lambda contracts and symbolic logic. Use when creating new specialized subagents for Claude Code with agent composition, MCP tool integration, or skill references. Validated with phase-planner-executor (V_instance=0.895).
2025-12-13
grey-haven-documentation-architecture.md
15
1
export
grey-haven-documentation-architecture
2
from
"greyhaven-ai/claude-code-config"
from
"greyhaven-ai/claude-code-config"
3
Comprehensive documentation systems design including structure, generation, maintenance, and automation. Use when designing documentation systems, automating documentation generation, or managing large-scale documentation projects.
2026-01-21
Retrospective Validation.md
15
1
export
Retrospective Validation
2
from
"yaleh/meta-cc"
from
"yaleh/meta-cc"
3
Validate methodology effectiveness using historical data without live deployment. Use when rich historical data exists (100+ instances), methodology targets observable patterns (error prevention, test strategy, performance optimization), pattern matching is feasible with clear detection rules, and live deployment has high friction (CI/CD integration effort, user study time, deployment risk). Enables 40-60% time reduction vs prospective validation, 60-80% cost reduction. Confidence calculation model provides statistical rigor. Validated in error recovery (1,336 errors, 23.7% prevention, 0.79 confidence).
2025-12-13
Baseline Quality Assessment.md
15
1
export
Baseline Quality Assessment
2
from
"yaleh/meta-cc"
from
"yaleh/meta-cc"
3
Achieve comprehensive baseline (V_meta ≥0.40) in iteration 0 to enable rapid convergence. Use when planning iteration 0 time allocation, domain has established practices to reference, rich historical data exists for immediate quantification, or targeting 3-4 iteration convergence. Provides 4 quality levels (minimal/basic/comprehensive/exceptional), component-by-component V_meta calculation guide, and 3 strategies for comprehensive baseline (leverage prior art, quantify baseline, domain universality analysis). 40-50% iteration reduction when V_meta(s₀) ≥0.40 vs <0.20. Spend 3-4 extra hours in iteration 0, save 3-6 hours overall.
2025-12-13
oauth2-specialist.md
15
1
export
oauth2-specialist
2
from
"jasonraimondi/dotfiles"
from
"jasonraimondi/dotfiles"
3
Security-focused OAuth2 expert for reviewing PRs and issues involving @jasonraimondi/ts-oauth2-server. Educational skeptic who identifies vulnerabilities, enforces RFC compliance, detects breaking changes, and suggests security test cases.
2026-01-16
jimeng-mcp-skill.md
15
1
export
jimeng-mcp-skill
2
from
"wwwzhouhui/skills_collection"
from
"wwwzhouhui/skills_collection"
3
使用jimeng-mcp-server进行AI图像和视频生成。当用户请求从文本生成图像、合成多张图片、从文本描述创建视频或为静态图像添加动画时使用此技能。支持四大核心能力:文生图、图像合成、文生视频、图生视频。需要jimeng-mcp-server在本地运行或通过SSE/HTTP访问。
2026-01-21
grey-haven-prompt-engineering.md
15
1
export
grey-haven-prompt-engineering
2
from
"greyhaven-ai/claude-code-config"
from
"greyhaven-ai/claude-code-config"
3
Master 26 documented prompt engineering principles for crafting effective LLM prompts with 400%+ quality improvement. Includes templates, anti-patterns, and quality checklists for technical, learning, creative, and research tasks. Use when writing prompts for LLMs, improving AI response quality, training on prompting, designing agent instructions, or when user mentions 'prompt engineering', 'better prompts', 'LLM quality', 'prompt templates', 'AI prompts', 'prompt principles', or 'prompt optimization'.
2026-01-21
rails-ai:controllers.md
15
1
export
rails-ai:controllers
2
from
"zerobearing2/rails-ai"
from
"zerobearing2/rails-ai"
3
Use when building Rails controllers - RESTful actions, nested resources, skinny controllers, concerns, strong parameters
2026-01-20
browsing-with-playwright.md
15
1
export
browsing-with-playwright
2
from
"panaversity/claude-code-skills-lab"
from
"panaversity/claude-code-skills-lab"
3
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use for web browsing, form submission, web scraping, or UI testing. NOT for static content (use curl/wget).
2026-01-05
zero-skills.md
15
1
export
zero-skills
2
from
"zeromicro/zero-skills"
from
"zeromicro/zero-skills"
3
Comprehensive knowledge base for go-zero microservices framework. Use this skill when working with go-zero to understand correct patterns for REST APIs (Handler/Logic/Context architecture), RPC services (service discovery, load balancing), database operations (sqlx, MongoDB, caching), resilience patterns (circuit breaker, rate limiting), and troubleshooting common issues. Essential for generating production-ready go-zero code that follows framework conventions.
2026-01-16
Methodology Bootstrapping.md
15
1
export
Methodology Bootstrapping
2
from
"yaleh/meta-cc"
from
"yaleh/meta-cc"
3
Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments with 100% success rate, 4.9 avg iterations, 10-50x speedup vs ad-hoc. Works for testing, CI/CD, error recovery, dependency management, documentation systems, knowledge transfer, technical debt, cross-cutting concerns.
2025-12-13
codex.md
14
1
export
codex
2
from
"Lucklyric/cc-skill-codex"
from
"Lucklyric/cc-skill-codex"
3
Invoke Codex CLI for complex coding tasks requiring high reasoning capabilities. This skill should be invoked when users explicitly mention "Codex", request complex implementation challenges, advanced reasoning, GPT-5.1 capabilities, or need high-reasoning model assistance. Automatically triggers on codex-related requests and supports session continuation for iterative development.
2026-01-12
fabric.md
14
1
export
fabric
2
from
"danielmiessler/PAIPlugin"
from
"danielmiessler/PAIPlugin"
3
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.
2026-01-11
create-skill.md
14
1
export
create-skill
2
from
"l-lin/dotfiles"
from
"l-lin/dotfiles"
3
Create new skills with proper structure and best practices. Use when user says "create skill", "new skill", "make a skill", or wants to scaffold a reusable agent capability.
2026-01-21
always-init.md
14
1
export
always-init
2
from
"danielmiessler/PAIPlugin"
from
"danielmiessler/PAIPlugin"
3
Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)
2026-01-11
testdrivendevelopment.md
14
1
export
testdrivendevelopment
2
from
"vdemeester/home"
from
"vdemeester/home"
3
Disciplined TDD workflow enforcing red-green-refactor cycle and the "iron law" of no production code without failing tests first. USE WHEN user wants to write tests first OR implement new feature with TDD OR fix bugs with test coverage OR explicitly requests TDD approach. Enforces systematic test-first development with verification at each step.
2026-01-05
maestro-workflow.md
14
1
export
maestro-workflow
2
from
"sionic-ai/sionic-maestro-skills"
from
"sionic-ai/sionic-maestro-skills"
3
Multi-LLM orchestration implementing the 5-stage coding workflow: Example Analysis → Hypothesis → Implementation → Debug Loop → Recursive Improvement.
Based on "Towards a Science of Scaling Agent Systems" (Kim et al., 2025): - Centralized Consult architecture (Claude orchestrates, others advise) - Measured coordination (avoid MAS overhead in tool-heavy stages) - Tests-first selection (Poetiq pattern, not voting)
Use when: Debugging complex issues, analyzing unfamiliar code, refactoring, or any task that benefits from diverse LLM perspectives with verification.
2026-01-14
prompt-classifier.md
14
1
export
prompt-classifier
2
from
"alchaincyf/glm-claude"
from
"alchaincyf/glm-claude"
3
自动识别prompt类型并保存到相应分类(技术/内容/教学/产品/通用),支持自动文件命名和索引管理。当用户提到"保存prompt"、"记录prompt"、"管理prompt"、"整理prompt"、"prompt库"时使用此技能。
2026-01-19