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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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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Audit French and English whitepapers and recap cards for outdated versions, missing language counterparts, and metadata problems. Receive document scores, an overall health report, and prioritized update suggestions, with optional proposed patches.
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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.
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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.
中文简介正在准备中。当前显示英语简介。
Diagnose failures in an application or while it is running. Use it to investigate an application problem or a runtime error, meaning an error that occurs during execution.
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Turn a feature request into an implementation plan before coding. Five planning phases cover requirements, interface design, technical choices, research, and metrics, producing ordered tasks, a test plan, and records explaining major decisions.
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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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Review code changes for concrete defects. Use it to examine modified code when you want to check whether a change contains a bug, with the review focused on specific problems in the changes.
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Save an unfinished session as a timestamped Markdown handoff. Capture changed files, decisions and their reasons, current progress, blockers, and ordered next steps so work can resume later or continue in another Claude instance.
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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.
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Read recent releases from CHANGELOG.md and display their version numbers, dates, and complete change sections. Choose how many entries to show, or view the full history while preserving the document’s formatting.
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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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Turns Git commits and pull request details into release notes for CHANGELOG.md, a release pull request, and Slack. It categorizes changes, explains user impact in plain language, and flags database migrations that need attention.
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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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Develop a confirmed talk angle and title into a five-act script with speaker notes and timing. Receive a slide-by-slide specification and a completed prompt to paste into Kimi for presentation generation.
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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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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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Turn Git commits and pull request details into release notes in three formats: a changelog section, a release PR description, and a user announcement. Group changes, explain user impact, and flag database migrations.
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Prepare evidence for a talk about project experience by comparing git history, release notes, and a source summary. Produce commit and contributor metrics, release analysis, and a factual timeline that flags conflicting or unverified information.
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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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Turn articles, transcripts, or notes into a structured talk summary. Identify whether the material centers on practical experience or ideas, then extract its narrative, themes, sourced metrics, and gaps to guide further preparation.
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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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Take an existing pull request through automated check results, user approval, merging, deployment verification, and a production health check. Report outcomes and timings, with investigation or rollback options when deployment problems appear.
中文简介正在准备中。当前显示英语简介。