Results for “context-engine”

Iterative Five Whys root cause analysis drilling from symptoms to fundamentals

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Add missing test coverage for your local code changes by generating new test files (covers uncommitted and untracked changes, or the latest commit if everything is committed). Use when you want write tests for new logic or increase test coverage.

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Use after writing tests to assess coverage quality across structural, mutation, requirements, and API/integration dimensions; organized knowledge for choosing and interpreting coverage analyses.

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Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing

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Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation

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Guide for setup Context7 MCP server to load documentation for specific technologies.

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Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.

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Guide for setup Serena MCP server for semantic code retrieval and editing capabilities

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Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first

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Guide for setup Codemap CLI for intelligent codebase visualization and navigation

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This skill should be used when need prioritize what changed code in repository human must review.

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Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior

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Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.

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Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

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Guide for setup arXiv paper search MCP server using Docker MCP

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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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Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

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Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

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

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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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Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.

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Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

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

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