Results for “context-engineering”

creates draft task file in .specs/tasks/draft/ with original user intent

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Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

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Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

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Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification

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Search the FPF knowledge base and display hypothesis details with assurance information

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Execute complete FPF cycle from hypothesis generation to decision

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Iterative PDCA cycle for systematic experimentation and continuous improvement

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Load all open issues from GitHub and save them as markdown files

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Systematically fix all failing tests after business logic changes or refactoring

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Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.

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Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis

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Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.

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Manage evidence freshness by identifying stale decisions and providing governance actions

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Guide for creating effective skills. This command 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 tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

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Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.

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Create pull requests using GitHub CLI with proper templates and formatting

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Generate ideas in one shot using creative sampling

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Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

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Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

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Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns

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Systematic Fishbone analysis exploring problem causes across six categories

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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

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Add line-specific review comments to pull requests using GitHub CLI API

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