Iterative PDCA cycle for systematic experimentation and continuous improvement
لغة النص الأصلي: الإنجليزية
القائمة
Skills في هذا المستودع
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Iterative PDCA cycle for systematic experimentation and continuous improvement
لغة النص الأصلي: الإنجليزية
Refine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases
لغة النص الأصلي: الإنجليزية
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
لغة النص الأصلي: الإنجليزية
Execute complete FPF cycle from hypothesis generation to decision
لغة النص الأصلي: الإنجليزية
Search the FPF knowledge base and display hypothesis details with assurance information
لغة النص الأصلي: الإنجليزية
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
لغة النص الأصلي: الإنجليزية
Reset the FPF reasoning cycle to start fresh
لغة النص الأصلي: الإنجليزية
Verify what PR review comments have been addressed (committed/pushed OR uncommitted local changes) and resolve the threads that are genuinely fixed or no longer relevant.
لغة النص الأصلي: الإنجليزية
Review your local uncommitted working-tree changes (git diff plus untracked files) and return actionable improvement suggestions. Use before committing, when nothing has been pushed yet.
لغة النص الأصلي: الإنجليزية
Review an existing GitHub pull request and post inline review comments on its diff. Use when the changes are on an opened PR rather than your local working tree.
لغة النص الأصلي: الإنجليزية
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
لغة النص الأصلي: الإنجليزية
Guide for setup arXiv paper search MCP server using Docker MCP
لغة النص الأصلي: الإنجليزية
Guide for setup Codemap CLI for intelligent codebase visualization and navigation
لغة النص الأصلي: الإنجليزية
Guide for setup Context7 MCP server to load documentation for specific technologies.
لغة النص الأصلي: الإنجليزية
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
لغة النص الأصلي: الإنجليزية
Display the current state of the FPF knowledge base
لغة النص الأصلي: الإنجليزية
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,…
لغة النص الأصلي: الإنجليزية
Use after writing tests to assess coverage quality across structural, mutation, requirements, and API/integration dimensions; organized knowledge for choosing and interpreting coverage analyses.
لغة النص الأصلي: الإنجليزية
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
لغة النص الأصلي: الإنجليزية
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
لغة النص الأصلي: الإنجليزية
Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to…
لغة النص الأصلي: الإنجليزية
Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting…
لغة النص الأصلي: الإنجليزية
This skill should be used when need prioritize what changed code in repository human must review.
لغة النص الأصلي: الإنجليزية
Execute tasks through systematic exploration, pruning, and expansion using Tree of Thoughts methodology with meta-judge evaluation specifications and multi-agent evaluation
لغة النص الأصلي: الإنجليزية
Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.
لغة النص الأصلي: الإنجليزية
Iterative Five Whys root cause analysis drilling from symptoms to fundamentals
لغة النص الأصلي: الإنجليزية
Apply writing rules to any documentation that humans will read. Makes your writing clearer, stronger, and more professional.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
لغة النص الأصلي: الإنجليزية
Refine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases
لغة النص الأصلي: الإنجليزية
Implement a task step by step with automated LLM-as-Judge verification at the end of each phase
لغة النص الأصلي: الإنجليزية
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
لغة النص الأصلي: الإنجليزية
creates draft task file in .specs/tasks/draft/ with original user intent
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Review your local uncommitted working-tree changes (git diff plus untracked files) and return actionable improvement suggestions. Use before committing, when nothing has been pushed yet.
لغة النص الأصلي: الإنجليزية
Review an existing GitHub pull request and post inline review comments on its diff. Use when the changes are on an opened PR rather than your local working tree.
لغة النص الأصلي: الإنجليزية
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.
لغة النص الأصلي: الإنجليزية
Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.
لغة النص الأصلي: الإنجليزية