“fork”的搜索结果

Write tests that demonstrate a pull request’s user-visible changes through before-and-after steps, screenshots, and recorded observations. Extend an existing core journey or create a one-off proof that helps reviewers understand the outcome and access boundaries.

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• Demonstrating a feature’s before-and-after behavior
• Adding a missing step to an existing core journey
• Proving permission boundaries for different users

Prepare a pull request to contribute local qm changes back to the shared project. Builds a clean contribution branch and checks commit history, files, authorship, and review materials for private organizational details before submission.

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• Contribute a local qm bug fix to the shared project
• Check outgoing commit history for private details
• Prepare a clean contribution branch from a private fork

Build CARLA for Unreal Engine 5.8 using CMake, the tool that configures its build process. The skill guides engine setup, optional ROS 2 support, Python API rebuilding, editor builds, and checks that the expected files were actually produced.

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• Building CARLA for Unreal Engine 5.8
• Building and verifying native ROS 2 support
• Rebuilding the Python API after client changes

Builds CARLA's ue4-dev branch on Linux, producing the Unreal Engine 4.26 editor, server modules, and an installed Python client package. Fetches required content, optionally compiles native ROS 2 support, and verifies the build against a source-built server.

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• Building CARLA ue4-dev from source
• Compiling CARLA with native ROS 2 support
• Building the Python client for an existing environment

Import FBX 3D models into CARLA as props that can be placed through its Python API. Handles category tags, measured dimensions, asset registration, and spawn checks for individual files or folders of models.

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• Add custom benches and signs to CARLA
• Import a folder of models grouped by tag
• Check model dimensions and spawning

Guides fine-tuning and evaluation of OpenVLA-OFT robot models that turn images and language into actions. Covers LIBERO simulation, ALOHA deployment, LoRA adaptation that updates a small set of parameters, and troubleshooting action scaling or configuration mismatches.

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• Evaluate pretrained models in LIBERO
• Fine-tune robot action models with LoRA
• Deploy server-client inference for ALOHA

Guides large language model reinforcement learning with miles, including MoE models that route work to specialized components. Covers low-precision training, matching training and inference behavior, and accelerating training response generation with draft models.

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• Setting up reinforcement learning for large MoE models
• Configuring FP8 or INT4 training
• Checking consistency between training and inference

Refresh evidence behind paid advertising guidance by checking platform changes, APIs, policies, regulations, and benchmarks. Record sources and contradictions, flag outdated or unsupported claims, and propose updates grounded in current primary sources.

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• Refreshing overdue advertising research
• Rechecking platform and API claims
• Reviewing evidence behind advertising benchmarks

Create reusable starting configurations that combine an agent’s role, startup context, and source history. The skill guides registry entries, checks whether their sources are current, and manages their progression from initial capture to recommendation or retirement.

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• Create reusable startup context for an agent role
• Refresh an agent workspace from an existing starter
• Check a starter’s source history and freshness

Adapt a C/C++ vulnerability pipeline to another language, target, or detection method. The workflow gathers requirements, proposes file changes for approval, updates the implementation, and validates it against a test target containing known bugs.

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• Adapt the pipeline for web application vulnerabilities
• Plan a port for smart contract auditing
• Change detection signals and report criteria

Build an MCP integration skill using a template that reads server-specific reference notes before calling tools. The Sentry example gathers unresolved errors, groups them by likely root cause, and produces a report with investigation suggestions.

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• Design a skill that integrates with an MCP server
• Document server-specific query pitfalls
• Group Sentry errors by likely root cause

Create a reusable command with explicit preconditions, numbered actions, checks after each step, and error handling. This template provides a structure to customize so Claude verifies the required context before starting a defined workflow.

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• Turning a recurring task into a reusable command
• Defining checks for files, permissions, and configuration before work
• Adding validation after each workflow step

Guides deployment of Open Harness on Vercel, from collecting credentials and setting environment variables to checking the first session. Separates a basic setup from a fuller setup with GitHub repository access.

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• Deploying a personal copy of Open Harness
• Identifying credentials needed for a basic deployment
• Adding GitHub repository access

Investigate past agent runs using recorded tool results, commands, and file changes. Distinguish observed events from inferred causes, replay recorded decisions, or compare models from the same checkpoint to examine failures and alternative outcomes.

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• Tracing why a file was deleted or overwritten
• Finding the step that broke a build
• Replaying a recorded failure

Find, evaluate, and install agent components from Observal, including skills, MCP servers, hooks, and prompts. For components you control, the skill also supports bulk submission, version management, archiving, restoration, ownership transfers, and co-author management.

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• Find and install components for an agent environment
• Get component recommendations for current needs
• Submit multiple components for review

Search Wayback Machine archives for deleted GitHub files, issues, pull requests, and wiki pages. Recover available text and repository details from saved web pages to investigate a project's past state.

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• Recovering a deleted README or documentation
• Checking deleted issue and pull request discussions
• Reviewing a repository's past state

Reproduce and fix LazyCodex or Codex defects in a temporary workspace. Verify the change with regression tests and real usage, then deliver an upstream Codex pull request or a LazyCodex issue containing the tested patch.

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• Implement and verify a reproducible bug fix
• Submit an upstream Codex pull request
• Deliver a tested LazyCodex patch in an issue

Turn a broad coding request into a concrete work plan grounded in the codebase. After user approval, it documents affected files, decisions, dependencies, and verification steps so a separate worker can carry out the implementation.

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• Planning a large feature before coding
• Turning a vague request into defined tasks
• Preparing an implementation handoff

Prepare a workspace for customizing Jetson board support software. Sets up Git tracking for changes, arranges kernel and related source files, and locates or extracts the NVIDIA Crosstool-NG compiler tools needed for later builds.

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• Preparing a workspace after BSP image initialization
• Arranging source files from local archives for offline setup
• Using a customer Git fork as the BSP source

Split a pull request into smaller drafts based on CODEOWNERS, the file that assigns review ownership. Propose groups of changes that need fewer reviewer teams, keep tests with their code, and create the drafts after approval.

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• Split a large pull request into smaller reviews
• Reduce reviewer groups required for each pull request
• Plan dependencies between split pull requests

Prepare configuration files for a custom Jetson carrier board using a reference development kit. Creates board-specific copies and a device tree overlay template, a file for hardware configuration differences, with build registration and flash configuration wiring.

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• Preparing initial configuration for a custom Jetson carrier board
• Copying reference settings under custom board names
• Creating and registering a device tree overlay template

Investigate past agent runs using recorded tool calls, exit codes, and file changes. Replay failures, distinguish observed evidence from inferred causes, and compare models from the same saved point when requested.

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• Find why an agent overwrote a file
• Identify which step broke a build
• Replay a previously recorded failure

Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]

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Use when the user asks to "build the norm card for this platform", "what are the char limits and visible-fold cutoffs here", "is the LinkedIn link-in-first-comment thing documented or folklore", or "which of our platform cards are stale"; maintains the dated, versioned per-platform norm cards in the references/platforms/ pack — char limits, visible-fold cutoffs, hashtag norms, format/aspect specs, link and first-comment placement, disclosure-label mechanics, algorithm emphases (e.g. 小红书 search+saves weighting) — every row labeled platform-documented (official doc, Measured) or Estimated-folklore (named source) with last-verified and review-by dates, and any card past its review date flagged stale rather than trusted. Extends the single pack in place; never forks a second one. Not for picking which channels to run — use channel-portfolio-planner. 平台规范卡/字符限制/折叠线/话题标签/算法侧重/过期标记

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