“ralph”的搜索结果

This skill should be used only when the user explicitly asks to use `$ralph-specum-status`, or explicitly asks Ralph Specum in Codex for status or active spec progress.

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This skill should be used only when the user explicitly asks to use `$ralph-specum-research`, or explicitly asks Ralph Specum in Codex to run the research phase.

中文简介正在准备中。当前显示原文说明。

This skill should be used only when the user explicitly asks to use `$ralph-specum-start`, or explicitly asks Ralph Specum in Codex to start or resume a spec.

中文简介正在准备中。当前显示原文说明。

This skill should be used only when the user explicitly asks to use `$ralph-specum-switch`, or explicitly asks Ralph Specum in Codex to switch the active spec.

中文简介正在准备中。当前显示原文说明。

This skill should be used only when the user explicitly asks to use `$ralph-specum-feedback`, or explicitly asks Ralph Specum in Codex to draft or submit feedback.

中文简介正在准备中。当前显示原文说明。

This skill should be used only when the user explicitly asks to use `$ralph-specum-triage`, or explicitly asks Ralph Specum in Codex to triage a large effort into multiple specs.

中文简介正在准备中。当前显示原文说明。

Automated iterative agent runner for spec-based development in Kiro. Wraps kiro-cli in a self-correcting bash loop that picks up tasks from a Kiro spec, implements them one at a time, verifies against exit criteria, and accumulates corrections and codebase patterns across iterations. Use this skill when the user mentions "ralph loop", "ralph", "spec loop", "iterative spec runner", "run my spec tasks automatically", "kiro spec automation", "self-correcting agent loop", "implement spec tasks in a loop", "run kiro-cli in a loop", "automated task implementation", or wants to drive a Kiro spec to completion through repeated agent iterations. Also use when the user wants to set up, configure, troubleshoot, or understand the Ralph Loop workflow — including progress tracking, corrections, codebase patterns, timing logs, and the summary dashboard.

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Create Product Requirements Document (PRD) and setup for Ralph autonomous loop. Use when user runs /create-prd command, wants to set up a project for Ralph, mentions "ralph setup", "create prd", "product requirements", or needs to generate tasks for autonomous development.

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Diagnose installation and configuration problems in oh-my-claudecode, including version mismatches, duplicate legacy hooks, and missing runtime requirements. Receive a status report with recommended fixes, with confirmed repairs preserving unrelated settings and custom content.

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• Diagnosing problems after installation
• Checking configuration after an update
• Investigating duplicate legacy hooks

Queue processing with fresh context per phase. Processes N tasks from the queue, spawning isolated subagents to prevent context contamination. Supports serial, parallel, batch filter, and dry run modes. Triggers on "/ralph", "/ralph N", "process queue", "run pipeline tasks".

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This skill should be used when generating spec artifacts (research.md, requirements.md, design.md, tasks.md), formatting agent output, structuring phase results, or when any Ralph agent needs guidance on concise, scannable output formatting. Applies to all Ralph spec phase agents.

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Autonomous iteration loop with dual-mode support. Standalone mode uses Stop hooks (RALPH_ACTIVE=1). Multi-agent mode uses router-managed iteration. Never traps the host/router session.

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Runs iterate-until-pass loops with ralph-worker agents in a worktree. Use when running [ralph]-marked tasks or looping until verify passes.

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Execute an autonomous development loop that picks one task per iteration, implements it, verifies it, and commits the result — each iteration in a fresh context window. Use when user runs /ralph, mentions "ralph loop", "autonomous loop", "builder verifier", "run tasks automatically", "iterate on tasks", "develop autonomously", or wants an automated build-verify-commit cycle with task tracking.

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Break a development task into small requirements with explicit acceptance criteria, then repeat implementation and verification while saving progress. Completion depends on evidence for each requirement and reviewer approval, with configurable reviewers and a final cleanup check.

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• Carrying a multi-step implementation through verification
• Resuming work with recorded progress
• Tracking evidence for each requirement

Stop active OMC workflows and clean up their runtime state while preserving progress where the mode supports resuming. It distinguishes the current session from all sessions and offers graceful shutdown or forced cancellation without bypassing ownership checks.

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• Stopping the current session's automated workflow
• Pausing Autopilot while keeping progress for resuming
• Shutting down a running agent team

Turns vague development requests into reviewed plans through planning, architecture, and quality-review agents. It compares alternatives, defines testable acceptance criteria, and records decisions, stopping before implementation unless execution has been explicitly approved.

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• Defining the scope of a vague development request
• Comparing implementation approaches before coding
• Planning migrations or security-sensitive changes

Stop an active OMX workflow after identifying its session and related modes. Perform the required cleanup, preserve resumable state where specified, and report the outcome, including any cleanup failures or reasons for refusing to proceed.

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• Stop an active OMX workflow
• Cancel Autopilot while preserving resumable state
• Shut down a selected Team runtime

Builds or restyles interfaces against an approved image or live web page. It guides repeated visual checks and pixel comparisons, then preserves reusable styling rules and components alongside screenshots and verification evidence.

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• Building an interface from an approved mockup
• Restyling an interface to match a live web page
• Preserving reusable styles and components from a visual implementation

Verify finished work against acceptance criteria using executable checks and a review of whether each requirement is met. Multiple models can review uncertain cases, and rejected work can enter an automated repair loop when the required Seed is available.

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• Checking finished work against its specification
• Verifying observed behavior against acceptance criteria
• Requesting multiple model reviews for uncertain results

Run repeated Ouroboros execution and improvement cycles as a background job, starting from a Seed specification or continuing an existing lineage. The loop stops on a quality check pass, convergence, cancellation, or the generation limit, and reports the outcome.

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• Starting repeated improvement from a Seed specification
• Continuing an existing improvement lineage
• Following meaningful background progress

Reduce GitHub API calls during issue monitoring by scanning basic issue details first, then fetching full descriptions and comments only for selected issues. Filters use assignees, status labels, and title patterns to narrow the list.

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• Reducing API calls during recurring issue monitoring
• Filtering out assigned or blocked issues
• Fetching descriptions and comments only for relevant issues

Set up a Squad agent team in a repository that has no team yet. Propose roles and persistent names, obtain user confirmation, then create team files, shared context, built-in member policies, and merge settings for accumulated records.

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• Creating a Squad team in a new repository
• Choosing agent roles for a project’s technology stack
• Giving new agents shared project context

Draft clear instructions for an agent to keep working toward a measurable goal. It defines the objective, constraints, validation commands, and stopping conditions, and guides setup, monitoring, and troubleshooting for the agent's supported runtime.

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• Drafting a goal prompt with a measurable stopping condition
• Planning repeated test and fix cycles
• Setting up and monitoring an autonomous run