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AI agents and automation
paperjury
by u7079256
Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML). DIRECT-EDIT mode (common): the user describes a change in Chinese or English and the LaTeX is edited directly through a CS-venue writing toolkit with author sign-off (use for 改这段 / 把中文想法写成 latex / polish / de-AI / translate / compress a passage). REVIEW mode (occasional, pre-submission): harden the paper through an adversarial courtroom review engine (N holistic domain reviewers / contestability routing / two-sided trial / three-way verdict / clerk-converged multi-round loop) with consensus-gated, author-signed revisions (use for review / critique / 审稿 / 评审 / mock-review). AUTO mode (unattended, opt-in via /goal): run the review-revise loop toward a verifiable goal, applying safe fixes under a drift-bounded policy and queueing risky ones. Resolves all inputs at runtime, no hardcoded paths. Not a from-scratch drafter (use ml-paper-writing) and not an official-venue rebuttal.
cn-check
by continuedev
Install and run the Continue CLI (cn) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
ecomode
by Yeachan-Heo
Token-efficient model routing modifier
analyzing-network-traffic-with-wireshark
by mukul975
'Captures and analyzes network packet data using Wireshark and tshark to identify malicious traffic patterns,
gpd-metadata-sync
by rudrankriyam
Sync and validate Google Play metadata, listings, and assets with gpd, including Fastlane-style workflows. Use when updating store listings or translations.
agent-development
by aiskillstore
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
learn-about-omc
by Yeachan-Heo
Learn about your OMC usage patterns and get personalized recommendations
document-review
by EveryInc
This skill should be used to refine brainstorm or plan documents before proceeding to the next workflow step. It applies when a brainstorm or plan document exists and the user wants to improve it.
agent-native-architecture
by EveryInc
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
hive-debugger
by aden-hive
Interactive debugging companion for Hive agents - identifies runtime issues and proposes solutions
elevenlabs-agents
by jezweb
Build conversational AI voice agents with ElevenLabs Platform. Workflow: configure agent, add tools and knowledge base, integrate SDK, test, deploy. Supports React, React Native, and Swift SDKs. Use when building voice agents, AI phone systems, or troubleshooting @11labs deprecated packages, webhook errors, CSP violations, localhost allowlist, or tool parsing errors.
work-on-issue
by meta-pytorch
Start work on a GitHub issue. Extracts requirements, creates worktree, sets up TDD workflow.
readiness-report
by OpenHands
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across eight technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Observability, Security, Task Discovery) and five maturity levels. Use when users request /readiness-report or want to assess agent readiness, codebase maturity, or identify gaps preventing effective AI-assisted development.
multi-agent
by telagod
天罗秘典·多Agent协同。融合蚁群仿生设计,定义Agent角色、生命周期、信息素通信、任务分解、冲突解决。当需要多Agent并行协作时路由到此。
ai
by telagod
AI/LLM 能力索引。Agent 开发、LLM 安全、RAG 系统。当用户提到 AI、LLM、Agent、RAG、Prompt 时路由到此。
ultrawork
by Yeachan-Heo
Parallel execution engine for high-throughput task completion
trace
by Yeachan-Heo
Show agent flow trace timeline and summary
flow-next-epic-review
by gmickel
Epic completion review - verifies all epic tasks implement spec requirements. Triggers on /flow-next:epic-review.
ljg-travel
by lijigang
"Deep travel research workflow for museums and ancient architecture. Input a city name, auto-generates structured knowledge document (org-mode) + portable reference cards (PNG). Covers historical background, museum highlights, archaeological significance, and architectural heritage. Use when user says '旅行研究', '博物馆功课', '古建功课', 'travel research', '出发前功课', or provides a city name with intent to do deep cultural travel preparation."
omx-setup
by Yeachan-Heo
Setup and configure oh-my-codex using current CLI behavior
review
by Yeachan-Heo
Alias for /plan --review
ljg-paper-flow
by lijigang
"Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names. For each paper, runs ljg-paper (generates org analysis) then ljg-card -v (generates visual sketchnote PNG). Use when user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers wanting both analysis and cards."
ljg-read
by lijigang
"Reading companion agent. Accompanies user through any text (books, articles, essays, papers, news) with translation, structural annotation, deep questioning, and cross-domain insights. Detects language, translates English to Chinese (faithfulness-expressiveness-elegance), guides reader to understand the author and encounter real questions. Use when user says '伴读', '陪我读', '读这篇', 'read with me', 'companion read', or shares a text/URL wanting guided reading."
SKILL.md
by owasp-dep-scan
Read THREAT_MODEL.md for the detailed security model, attack paths, and workflow review guidance.