delegation-autopilot
In Codex interactive mode, call delegate_autopilot automatically for multi-step or cross-cutting requests (including research-only), otherwise work normally.
In Codex interactive mode, call delegate_autopilot automatically for multi-step or cross-cutting requests (including research-only), otherwise work normally.
A minimal example skill demonstrating Claude Code skill structure
Run the case feedback script to submit feedback for the current conversation. Only use when invoked by case-feedback-agent.
Query and analyze Claude Code history joined with Git data using SQL. Use when user asks about their Claude conversations, productivity patterns, commit history correlation, session analytics, or wants to explore their coding history with SQL queries.
Automatic review gate that runs after brainstorming completes - spawns PM, Architect, Designer, Security, and CTO agents in parallel, iterates until all approve
Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.
Guide for generating and editing images using generative AI with the nanobanana CLI
Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.
This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepSeek, OpenRouter) using SwiftOpenAI-CLI. Use this skill when users ask to "use grok", "ask grok", "use groq", "ask deepseek", or any similar request to query a specific LLM provider in agent mode.
KPI framework setup, dashboard design, cohort analysis, and data-driven decision making. Use when analyzing growth metrics, building KPI dashboards, or implementing analytics systems.
KERNELフレームワーク:1000時間のプロンプトエンジニアリングから発見された6つの原則。精度340%向上、時間67%削減を実現するエンタープライズ品質のプロンプト設計手法。AIへの指示を書く際に使用。
Configure Claude Code to use alternative AI model providers by setting up custom API endpoints and authentication. Use this skill when users want to switch from default Anthropic models to providers like Z.AI, OpenRouter, or other custom endpoints with compatible APIs.
Weighted pipeline forecast by probability. Historical accuracy tracking, commit vs best-case scenarios, deal slippage patterns.
GPT-5/4o, Claude 4.5, Gemini 2.5/3, Grok 4 vision patterns for image analysis, document understanding, and visual QA. Use when implementing image captioning, document/chart analysis, or multi-image comparison.
Monitor injury news across leagues. Fantasy impact analysis, backup player analysis, return timeline estimates.
Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
Advanced TanStack Query v5 patterns for infinite queries, optimistic updates, prefetching, gcTime, and queryOptions
Use when backing up, restoring, or validating golden datasets. Prevents data loss and ensures test data integrity for AI/ML evaluation systems.
Use when validating golden dataset quality. Runs schema checks, duplicate detection, and coverage analysis to ensure dataset integrity for AI evaluation.
Activates when querying Danish agricultural data from GCS. Use this skill for: data discovery, finding datasets, understanding schemas, querying parquet files, joining datasets on CVR/CHR/BFE identifiers. Keywords: data, catalog, datasets, GCS, parquet, schema, query, DuckDB, pyarrow
CLIP, SigLIP 2, Voyage multimodal-3 patterns for image+text retrieval, cross-modal search, and multimodal document chunking. Use when building RAG with images, implementing visual search, or hybrid retrieval.
Multi-agent frameworks beyond LangGraph. CrewAI crews, Microsoft Agent Framework, OpenAI Agents SDK. Use when building multi-agent systems, choosing frameworks.