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Updates Claude Code CLI release tracking within the Claude Code Ultimate Guide, following its documented workflows. It can also handle an explicitly requested guide version bump and report changes, verification results, and unresolved checks.

中文简介正在准备中。当前显示英语简介。

• Updating Claude Code CLI release tracking in the guide
• Synchronizing the latest CLI version with the landing page
• Updating the guide version when explicitly requested

Turn articles, notes, or code history into talk preparation materials, including angles, titles, scripts, slide drafts, and revision sheets. Coordinate the stages with user checkpoints, or run an individual stage again.

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• Prepare a talk from articles or notes
• Build an experience report supported by Git history
• Develop a script after choosing an angle and title

Turn CHANGELOG.md entries into English and French announcement drafts for LinkedIn, Twitter/X, newsletters, and Slack. Select a release or week, highlight useful changes, and optionally choose the audience, format, and language.

中文简介正在准备中。当前显示英语简介。

• Preparing announcements after a release
• Summarizing a week of releases
• Adapting updates for different posting channels

Check a Proofpack release candidate before packaging by running tests, validating the candidate, and inspecting the package locally. Compare the source state and command results with the evidence log, then report passed, failed, or unknown checks.

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• Checking a Proofpack candidate before packaging
• Comparing local verification with recorded evidence
• Finding unverified checks or uncovered changes

Answer a short series of questions about your workflow to choose a Claude Code agent, command, skill, hook, or rule, then generate a template with the structure and file location for that component.

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• Choosing how to implement a Claude Code workflow
• Creating a template for a reusable team procedure
• Planning automatic checks or persistent behavior rules

Analyze a project's code, existing automation, and connected services to suggest Routines, cloud-based Claude Code sessions triggered by schedules, API calls, or GitHub events. Receive prioritized proposals with inputs, outputs, expected value, and setup blockers.

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• Finding recurring maintenance tasks to automate
• Planning automated responses to GitHub events
• Identifying manual work between connected services

Audit a project and its Claude Code configuration for exposed credentials, vulnerable dependencies, malicious instructions, and hook security. Receive a scored report with evidence, severity levels, and a prioritized plan for addressing the findings.

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• Reviewing project security before production deployment
• Checking credentials against Git history
• Inspecting Claude Code settings and security hooks

Review a pull request for code quality, correctness, security, tests, and documentation. Receive structured findings ranked by severity, with file references, approval status, positive highlights, and questions that need clarification.

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• Reviewing a pull request before merging
• Checking changes against the original plan
• Auditing error handling and validation of AI output

Coordinate threat research and updates in AgentSec, then synchronize validated results to the guide and landing page. Check compatibility data and the searchable catalogue, and report the status of each repository separately.

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• Updating threat information through AgentSec
• Synchronizing validated security feeds
• Checking new records in the searchable catalogue

Create a custom Claude Code skill with a structured SKILL.md file and optional scripts, reference documents, and templates. Follow checks for metadata and usage examples, test a real task, and package the skill for distribution.

中文简介正在准备中。当前显示英语简介。

• Creating a custom skill for a project
• Standardizing skill structure across a team
• Preparing a skill with scripts and templates

Suggests running verbose shell commands through RTK, a tool that condenses command output, and executes them after confirmation. It helps reduce the text an AI agent processes when reviewing Git history, tests, builds, and files.

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• Reducing output when reviewing Git history and diffs
• Condensing long test and build results
• Reading large files with less command output

Inspect a project's code, history, tests, and documentation, then ask three focused questions to recommend an AI-assisted development approach. Receive one combination of methods, reasons for the choice, and practical first steps tailored to the project.

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• Choosing an AI-assisted workflow for a new project
• Reviewing development methods for an existing service
• Aligning specifications and tests across services

Create a daily briefing combining changes in official Anthropic documentation with guide updates and CC CLI releases from the last 24 hours. Review added, removed, or modified sections alongside links to the original sources.

中文简介正在准备中。当前显示英语简介。

• Checking daily changes in official Anthropic documentation
• Reviewing guide updates and CC CLI releases from the last 24 hours
• Reading documentation and release updates in one briefing

Diagnose command failures before attributing them to sandbox restrictions, which limit access to files and networks. Check execution methods, command matching, and network behavior, then prepare an evidence-based report for the person responsible for settings.

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• Investigating permission errors such as EPERM
• Separating network restrictions from hostname failures
• Checking why an excluded command still fails

Check release readiness by reviewing tests, type checks, linting, builds, security findings, documentation, and environment settings. Get a report separating deployment blockers from warnings, plus action items and checks for post-deployment health and rollback preparation.

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• Checking readiness before a production deployment
• Reviewing staging environment settings
• Adding release checks to CI/CD

Evaluate staged Git changes before committing using an LLM, a language model acting as a reviewer. Receive correctness, completeness, and safety scores, plus issues by severity, to decide whether to fix, commit, or stop.

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• Evaluate significant changes before committing
• Review changes in unfamiliar code
• Check changes to security-sensitive code

Turn talk scripts, slides, and concept notes into reference sheets with section navigation, definitions, shareable links, a glossary, and six to ten anticipated questions with short answers for live Q&A and attendee follow-up.

中文简介正在准备中。当前显示英语简介。

• Preparing short answers for a talk's Q&A session
• Creating a reference sheet to share with attendees
• Keeping definitions handy during a live presentation

Review a feature request before coding to clarify the user’s real goal and challenge assumptions. Choose whether to expand, hold, or reduce scope, then receive a recommendation to proceed, reframe the brief, or reject the direction.

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• Clarify the purpose behind a feature request
• Explore a broader product direction
• Find gaps in a plan with fixed scope

Carry out a validated development plan in an isolated Git worktree, a separate working directory. Coordinate parallel implementation, run quality checks, update documentation, and take the changes through pull request creation, merging, execution metrics, and cleanup.

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• Implementing a validated development plan
• Running dependent tasks in parallel stages
• Preparing failing tests before implementation

Deploy an application to an environment that has already been configured. Use it when the destination is established and the next task is to put the application into that environment.

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• Deploying an application to a configured environment
• Putting an application into its established destination
• Requesting deployment after environment configuration

Analyze SonarCloud findings for a pull request, a proposed code change. Group issues by severity, type, file, and rule, then produce a report highlighting frequent problems and recommended priorities without modifying code.

中文简介正在准备中。当前显示英语简介。

• Reviewing quality findings before merging a pull request
• Finding files and rules with the most issues
• Prioritizing bugs and security findings

Inspect platform support and configured restrictions for the Claude Code sandbox, which limits command access. Review writable paths, protected credential files, allowed network domains, and excluded commands. Recent violation log inspection is not yet implemented.

中文简介正在准备中。当前显示英语简介。

• Checking sandbox settings before autonomous work
• Investigating restrictions behind blocked commands
• Reviewing allowed domains and file access

Check Claude Code configuration against a supplied threat database. Review installed skills, MCP servers that connect external tools, hooks, permissions, and exposed credentials, then receive findings grouped by severity with prioritized actions.

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• Review configuration after installing skills or MCP servers
• Find overly broad permissions and dangerous settings
• Check configuration files for exposed keys and tokens

Turn rambling dictation or transcribed voice memos into concise prompts for Claude Code. Remove filler and repetition, then organize the project context, goal, constraints, and expected deliverables while preserving the original requirements.

中文简介正在准备中。当前显示英语简介。

• Turning transcribed voice memos into prompts
• Organizing requirements from long dictation
• Removing repeated phrases and filler words