dcjanus-tasklog
当需要使用 DCjanus 的个人任务模型查询或管理 Linear Issue、Comment、Team、Workflow status、原生关系或 Custom View 时使用。
dcjanus-merge-policy
将 GitHub 或 GitLab 仓库配置为 DCjanus 偏好的合并策略，包括 squash、合并方式、提交消息模板和源分支删除设置。适用于明确要求采用 DCjanus 个人合并策略的场景，不用于一般 PR/MR 合并操作。
codex-thread-namer
为当前 Codex thread 设置名称；仅当用户手动调用或明确要求命名、重命名、整理当前 Codex 会话标题时使用，永远不要自动调用。
ticktick-cli
使用 Python CLI 与 Dida365 Open API 交互以管理滴答清单任务/项目，适用于需要通过脚本或命令行调用滴答清单接口的场景（如项目/任务的查询、创建、更新、完成、删除）。
teach-me
以学习者控制的节奏，自顶向下、逐层讲解复杂主题。适用于用户希望“教我”“带我理解”“一步步讲”“先讲顶层”，或明确要求不要一次性展示全部信息的场景。
review-fix-loop
用三个相互隔离的干净 subagent 并行做代码审查、由主 agent 判断审查意见价值、修复有效问题并提交推送，直到同一批三个 reviewer 都没有有价值审查意见。适用于用户要求 review/fix loop、clean review cycle、创建新 subagent 审查当前修改、反复 review 到没有问题、或“三个独立 reviewer 都没有有效建议”这类任务。
repository-workflow
处理从本地 Git 变更到 GitHub/GitLab 协作发布的完整工作流；适用于创建或更新分支、语义化 commit message、commit、push、Issue/PR/MR 文案、inline review reply、Breaking Change 与提交范围核对。纯只读的平台查询不使用本 skill。
upstream-pr-staging
在向 GitHub 上游提交 PR 前，先用用户 fork 中的预审 PR 审查 AI 辅助产出的代码、提交、PR 文案和 CI 证据，并通过独立 comment 收敛内部记录；适用于 fork 预审、低干扰验证、内部 review/CI、red/green 证据和正式上游 PR 重放。
codex-session-reader
读取 Codex 的单个 session/thread；当已知 thread id 且需要查看或摘要会话内容时使用。
confluence-cli
查询、检索与阅读 Confluence 文档/页面。
dcjanus-preferences
适用于创建、修改或评审 Skill，或在前端技术栈与无障碍组件、Connect/Protobuf API、well-known types、FieldMask/PATCH、AIP-127 HTTP 映射与 Protovalidate 校验、项目开发工具（含 mbx/Cargo）及版本管理、用户级程序的 XDG 数据目录、跨语言的数据存储、分析、压缩、归档、哈希、Telegram Bot 消息呈现及 Python/Rust/Go 第三方库之间做技术选择的场景。
fetch-url
获取并提取链接正文（默认 Markdown）；内置 X/Twitter URL 处理，提升受限页面的抓取成功率。
github-cli
使用 GitHub CLI 与 GitHub 资源交互；适用于 repo、issue、PR、comment、release、workflow 等查看、更新或创建场景。创建任何 GitHub Issue 时，统一使用本 skill 的 github_issue.py，保留模板 labels/assignees 并在创建后回读验证。
gitlab-cli
使用 GitLab CLI（glab）与 GitLab 资源交互；适用于 project、issue、MR、comment、wiki 等查看、更新或创建场景，含自建实例。
golang-lo
Go >= 1.18 项目中希望用 samber/lo（Lodash 风格泛型库）简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。
uv-cli-creator
创建或修改基于 PEP 723、由 uv 管理且可直接执行的单文件 Python CLI。一次性分析脚本和一般执行环境问题使用 python-execution。
scalable-thinking
Design for scale while keeping implementation simple (KISS).
code-simplifier
Detect and simplify overly complex code. Apply KISS principle - less is more.
stitch-design
Generate UI designs using Google Stitch AI with optimized prompts
self-improve
Full learning loop for the Aura Frog plugin: analyze collected learning data from Supabase to identify success patterns, failure patterns, optimization opportunities, and agent performance trends, then apply learned improvements — update rules, adjust agent routing, modify workflow configurations, and generate knowledge base entries.
api-designer
Designs RESTful APIs with endpoint naming, versioning strategies (URL path, header-based), pagination (offset and cursor), error response schemas, and OpenAPI conventions. Use when the user asks about REST API design, creating endpoints, URL structure, API versioning, status codes, Swagger, or OpenAPI specs.
agent-detector
CRITICAL: MUST run for EVERY message. Detects agent, complexity, AND model automatically. Without this, tasks route to wrong agents and use wrong models, degrading quality and wasting tokens.
bugfix-quick
Fast bug fixes with root cause investigation + TDD. Enforces 'no fix without root cause' discipline and verification protocol. Without this skill, fixes are applied at symptoms instead of sources, and bugs return.
test-writer
Write tests with TDD following structured patterns. Ensures consistent AAA structure, proper coverage targets, and framework-specific conventions. Without this skill, tests lack consistent naming, miss coverage targets, and skip anti-pattern checks.
session-continuation
Manage workflow state across sessions with handoff and resume. TOON-based state persistence.
migration-helper
Guide safe database and code migrations with zero-downtime strategies.
refactor-expert
Guide safe, incremental refactoring that improves code quality without changing behavior.
project-context-loader
Load project conventions and generate session context. Use EXPLICITLY when needed, not automatically.
problem-solving
5 techniques for different problem types. Use when stuck or facing complex challenges.
code-reviewer
8-aspect evidence-based code review/audit (security, correctness, compatibility, architecture, error handling, test gaps, type safety, simplicity) built on Google eng-practices, OWASP Top 10:2025, CWE Top 25, SemVer. Every finding needs file:line + a concrete failure scenario. Use when the user asks to review/audit code, check a PR, review before merge, in TDD Phase 4, via /check review or /run review.
design-expert
UI/UX design expertise — component design, design system selection, responsive layout. Includes auto-detection from package.json and Context7 integration for library docs.
documentation
Create Runbooks for operational documentation. For ADRs, tech specs, requirements, LLD and technical analysis use the tech-writing skill instead.
framework-expert
Unified framework expertise bundle. Lazy-loads relevant framework patterns (React, Vue, Angular, Next.js, Node.js, Python, Laravel, Go, Flutter, React Native, TypeScript) based on detected tech stack.
reasoning-trace-recorder
Auto-invokes for every Claude turn during active T4 task execution. Emits append-only trace events (file_read, output_claim, tool_call, decision) to .claude/plans/traces/{TASK_ID}.jsonl. Source of grounding-discipline checks. Disable: AF_TRACE_DISABLED=true.
permanent-memory-loader
Loads permanent_memory.md summary lines (≤120 always-loaded tokens, hard cap 200). Surfaces durable wisdom from past Epics into the current session. Silent if .claude/memory/ does not exist.
plan-archivist
Compresses a completed plan-tree branch into .claude/plans/archive/{NODE_ID}.summary.md. Removes the original node files (preserved by checkpoint history). Reduces always-loaded surface area as features ship.
plan-loader
Loads minimum hierarchical plan context (.claude/plans/) for current execution focus. Auto-invokes every session when plans exist. Stays under 800 always-loaded tokens regardless of plan tree size.
plan-orchestrator
Route hierarchical-planning intents to the correct backing script. Use when the user invokes /aura-frog:plan (with or without subcommand), mentions plan verbs (expand/next/replan/promote/archive/freeze/thaw/undo/status/conflicts), or types a plan-vocabulary bare word with .claude/plans/active.json present. Owns verb table, intent classifier, and 3-stage routing pipeline.
monorepo
Detect and navigate monorepos correctly. Use when working with repos containing multiple packages (pnpm/yarn/npm workspaces, Turborepo, Nx, Lerna). Ensures commands run in correct package scope, dependencies are routed properly, and cross-package changes are coordinated.
plan-validator
On-demand plan-tree validator. Runs all 8 invariants from spec §6.7 (parent existence, children integrity, no orphans, valid status, monotonic revision, test_ref existence, DAG no-cycles, freeze_reason). Refuses commits on violations.
perf-profiling
Systematic performance profiling and optimization across frontend (Core Web Vitals, code splitting, lazy loading), backend (N+1 queries, async), and database (EXPLAIN ANALYZE, indexing) layers. Use when the user reports slow code, latency, memory leaks, needs to benchmark, or wants to speed up an application. Measure first, optimize second. Applies Pareto principle — find the 20% of code causing 80% of slowness, fix that, not the rest.
motion-design
Restrained, accessible web motion — Framer Motion declarative patterns and CSS-only staggered reveals for high-impact moments, always bundle-aware and reduced-motion-safe. Use when adding animation/transitions to a UI (entrance reveals, list stagger, page/route transitions, micro-interactions) or when motion feels janky, heavy, or gratuitous.
preflight-validator
On-demand wrapper over scripts/preflight/run-all.sh. Runs Tier 1 bash linters against a file, command, or arbitrary content. Returns 0 pass / 1 warn / 2 fail. Used by /aura-frog:preflight check and contributors authoring custom hooks.
mcp-security-auditor
On-demand audit of MCP usage. Reads the MCP audit log (mcp-audit.jsonl) written by the mcp-call-gate hook, surfaces blocked calls, rate-limit hits, suspicious input patterns. Companion to mcp-call-gate hook (which produces the audit log).
prompt-evaluator
Evaluate how you use Claude Code — analyze prompt patterns, feature utilization, and get improvement suggestions. Trigger: /prompts:evaluate, prompt analysis, usage evaluation, how am I using Claude
git
Token-efficient git operations with security scanning and auto-split commits, plus auto-creating git worktrees to isolate workflow changes — merge on success, discard on failure.
frontend-aesthetics
Anti-AI-slop taste layer for UI output — distinctive typography, dominant+accent color hierarchy, and implementation-matched polish. Use when building or restyling a UI/landing/component that should look designed rather than defaulted, or when the user asks for something 'beautiful', 'distinctive', 'less generic', or 'not another Tailwind template'.
design-vision-loop
Vision feedback loop for UI — render the running UI, screenshot it across viewports + dark mode, run deterministic gates then a multimodal critique against the design system, and iterate until it passes. Use after building or changing a UI component/page, when asked to 'check the UI', make it 'look right', or verify a build matches a design spec / Stitch screen.
failure-classifier
Classifies execution failures into F1-F5 (transient/local-logic/local-design/story-level/architectural). Outputs JSON with class, confidence, evidence, and recommended action. Deterministic rule-based classifier; no LLM call.
extension-detector
Detects when a new project-level skill / rule / command would reduce friction. Asks the user for confirmation before creating anything. NEVER writes plugin-level files — only `.claude/skills/`, `.claude/rules/`, `.claude/commands/` in the user's project.
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