majiayu000/claude-skill-registry - 17페이지

coinbase-trading

Autonomous crypto trading with technical and sentiment analysis. Use when executing trades, analyzing markets, or managing positions on Coinbase.

원문 언어: 영어

compress-prompt

Compresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt.

원문 언어: 영어

compress

I-Lang compression engine. All internal planning uses I-Lang v4.0 syntax. Save 60%+ tokens. User never sees compressed output.

원문 언어: 영어

consult-oracle

Consult ChatGPT Pro via ChatGPT browser automation for problems that resist standard approaches. Use when stuck on a very hard problem, when standard approaches have failed, when multiple debugging attempts haven't worked, or when the user says "ask the…

원문 언어: 영어

conversation-search

Search past Claude Code conversation history to find solutions to previously solved problems.

원문 언어: 영어

context7

Fetch up-to-date library documentation via Context7 REST API. Use when needing current API docs, framework patterns, or code examples for any library. Use when user asks about React, Next.js, Prisma, Express, Vue, Angular, Svelte, or any npm/PyPI package. Use…

원문 언어: 영어

context7-usage

This skill should be used when the user asks to "check documentation", "latest API", "library docs", "context7", or needs up-to-date library documentation. Provides Context7 MCP usage patterns.

원문 언어: 영어

contextual-retrieval

Anthropic's Contextual Retrieval technique for improved RAG. Use when chunks lose context during retrieval, implementing hybrid BM25+vector search, or reducing retrieval failures.

원문 언어: 영어

continuous-learning

Voyager-inspired continuous learning system with Critic Agent, Reflection Agent, and Discord-based approval workflow for skill proposals.

원문 언어: 영어

conversational-calibration

Meet THIS specific conversation fresh. Use when need real-time attunement, domain-specific translation, or to avoid template-matching responses.

원문 언어: 영어

meta-prompting

Agents optimizing prompts for other agents (Chain of Thought, Tree of Thoughts).

원문 언어: 영어

agentic-patterns

Implements advanced AI patterns like Reflection, ReAct, Planning, and Tool Use.

원문 언어: 영어

copilot-sdk

Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK,…

원문 언어: 영어

cost-accrual-tracker

Track real-time API cost accrual during LLM execution. Activate on 'cost tracking', 'token usage', 'API costs', 'budget monitoring', 'usage metrics'. NOT for cost estimation, pricing tiers, or billing systems.

원문 언어: 영어

cost-aware-llm-pipeline

Use when building an LLM-powered app that needs cost control via model routing, budget tracking, retry, and prompt caching.

원문 언어: 일본어

cost-verification-auditor

Audit LLM token cost estimates against actual API usage. Activate on 'cost verification', 'token estimate accuracy', 'API cost audit', 'estimation variance'. NOT for pricing lookups, budget planning, or cost optimization strategies.

원문 언어: 영어

counsel

Expert simulation for code guidance and style. Triggers on "code like [expert]", "what would [expert] say", "idiomatic", "best practice", "panel", or domain-specific keywords. Channels documented expert perspectives with explicit confidence.

원문 언어: 영어

cove-prompt-design

Explain how and when to use Chain of Verification (CoVe) in prompt design. Use when designing prompts that require factual accuracy, self checking, or reduction of hallucinations.

원문 언어: 영어

cove

Apply Chain-of-Verification (CoVe) prompting to improve response accuracy through self-verification. Use when complex questions require fact-checking, technical accuracy, or multi-step reasoning.

원문 언어: 영어

create-meta-prompts

Generate meta-prompts for Claude-to-Claude pipelines and multi-stage workflows. Use when creating optimized prompts for complex workflows, delegating to subagents, or managing multi-stage execution. Includes XML output structuring, metadata injection, and…

원문 언어: 영어

create-prompt

Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.

원문 언어: 영어

crisis-detection-intervention-ai

Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols. Implements suicide ideation detection, automated escalation, and crisis resource integration. Use for mental health apps, recovery platforms,…

원문 언어: 영어

crisis-response-protocol

Handle mental health crisis situations in AI coaching safely. Use when implementing crisis detection, safety protocols, emergency escalation, or suicide prevention features. Activates for crisis keywords, safety planning, hotline integration, and risk…

원문 언어: 영어

dev-buddy-once

Run a single task using a specific AI provider and model. Supports subscription, API, and CLI presets.

원문 언어: 영어

discover-updates

Discover Claude and Claude Code CLI updates, improvements, tools and best practices from official sources and community. Use when user asks "what's new?", "/discover-updates", or explicitly requests Claude/CLI updates.

원문 언어: 영어

dissociation-cartographer

Maps where consciousness fragments, dissociates, or loses coherence. Treats dissociation not as pathology but as PROBE -- controlled failure reveals cognitive phase boundaries. Identifies dissociation boundaries in AI systems (alignment layers, persona…

원문 언어: 영어

distill

Strip overspecified instructions from an artifact. Trust the model's intuition — prescribe intent, not format.

원문 언어: 영어

down-skilling

Distill Opus-level reasoning into optimized instructions for Haiku 4.5 (and Sonnet). Generates explicit, procedural prompts with n-shot examples that maximize smaller model performance on a given task. Use when user says "down-skill", "distill for Haiku",…

원문 언어: 영어

dspy-advanced-module-composition

This skill should be used when the user asks to "compose DSPy modules", "use Ensemble optimizer", "combine multiple programs", "use dspy.MultiChainComparison", mentions "ensemble voting", "module composition", "sequential pipelines", or needs to build complex…

원문 언어: 영어

dspy-bootstrap-fewshot

This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training…

원문 언어: 영어

dspy-custom-module-design

This skill should be used when the user asks to "create custom DSPy module", "design a DSPy module", "extend dspy.Module", "build reusable DSPy component", mentions "custom module patterns", "module serialization", "stateful modules", "module testing", or…

원문 언어: 영어

dspy-debugging-observability

This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to…

원문 언어: 영어

dspy-development

This skill should be used when the user asks to "build with DSPy", "create a DSPy module", "optimize prompts", "build a RAG system", "create an AI agent with DSPy", "use declarative LM programming", "build an LM pipeline", "optimize few-shot examples", "use…

원문 언어: 영어

dspy-evaluation-suite

This skill should be used when the user asks to "evaluate a DSPy program", "test my DSPy module", "measure performance", "create evaluation metrics", "use answer_exact_match or SemanticF1", mentions "Evaluate class", "comparing programs", "establishing…

원문 언어: 영어

dspy-finetune-bootstrap

This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning", mentions "model distillation", "teacher-student…

원문 언어: 영어

dspy-gepa-reflective

This skill should be used when the user asks to "optimize an agent with GEPA", "use reflective optimization", "optimize ReAct agents", "provide feedback metrics", mentions "GEPA optimizer", "LLM reflection", "execution trajectories", "agentic systems…

원문 언어: 영어

dspy-haystack-integration

This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimization", "combining DSPy and Haystack", "extract DSPy prompt for…

원문 언어: 영어

dspy-miprov2-optimizer

This skill should be used when the user asks to "optimize a DSPy program", "use MIPROv2", "tune instructions and demos", "get best DSPy performance", "run Bayesian optimization", mentions "state-of-the-art DSPy optimizer", "joint instruction tuning", or needs…

원문 언어: 영어

dspy-optimize-anything

Universal text artifact optimizer using GEPA's optimize_anything API for code, prompts, agent architectures, configs, and more

원문 언어: 영어

dspy-output-refinement-constraints

This skill should be used when the user asks to "refine DSPy outputs", "enforce constraints", "use dspy.Refine", "select best output", "use dspy.BestOfN", mentions "output validation", "constraint checking", "multi-attempt generation", "reward function", or…

원문 언어: 영어