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Found 5,567 Skills
Expert Architecture Decision Record (ADR) creation and lifecycle management based on Olaf Zimmermann's methodology. Use when creating ADRs, reviewing architectural decisions, evaluating decision readiness, writing MADR templates, assessing decision quality, or managing ADR logs. Covers the full lifecycle from readiness (START criteria) through creation, MADR formatting, completion (ECADR criteria), and ongoing maintenance.
Unity 6 lighting and visual effects guide. Use when working with lights, baked/realtime/mixed lighting, light probes, reflection probes, Adaptive Probe Volumes (APV), global illumination, Particle System, VFX Graph, or post-processing effects. Based on Unity 6.3 LTS documentation.
Analyzes images using a vision-capable LLM (Optic). Can read workspace images, URLs, base64 data, or previously generated images by ID.
Comprehensive container image security scanning and remediation. Analyzes Docker images for OS package vulnerabilities, application dependencies, and Dockerfile best practices. Use when: - User asks to scan a Docker image or container - User mentions "container security" or "image vulnerabilities" - User wants to secure a Dockerfile - User asks about base image security - Agent is working with Docker, Kubernetes, or container deployments
Manage interactive terminal sessions (SSH, REPLs, databases, TUI apps) via pty-bridge CLI. Use when the standard Bash tool cannot handle interactive programs that require a PTY.
Use this skill for Customware existing-project migration tasks that convert uploaded `projects.zip`, `database.zip`, and `domain.zip` artifacts into the standard full-stack Customware target app. This skill is for `migration_setup` and `migration_convert` tasks and enforces zip-driven source discovery, migration-plan creation, source-workflow parity, and source-derived Playwright verification.
Must be used when users explicitly request "recommend submission journals", "help me choose SCI journals for my paper", "which journals is this manuscript suitable for", "journal matching/journal selection/submission suggestions". Applicable to scenarios where users provide full text, abstracts, Markdown, LaTeX, PDF, Word, or mixed materials; This skill will first use the built-in `2023IF.xlsx` to perform minimum hard filtering to generate a candidate pool based on the manuscript and user preferences, then the host model will independently plan Set1/Set2/Set3, verify the scope / quality / PubMed papers of the last 3 months via the internet, and finally output a Markdown journal selection report sorted by recommendation level. ⚠️ Not applicable: Users only want to polish papers, only want to translate abstracts, or only ask about the official website information of a single journal without needing systematic journal selection.
Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the Omni CLI. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "configure connection", "refresh the schema", or "schedule a delivery".
This skill is used when users explicitly request "LaTeX template optimization", "style parameter alignment", "pixel-level comparison", "make-latex-model" or the old notation "make_latex_model", or when they want to turn a project in ChineseResearchLaTeX into a high-quality template. It supports four product lines: NSFC / paper / thesis / cv; first determine whether to modify the project layer or the public package based on the actual hierarchy of packages/ and projects/, then use the official build entry of each product line for acceptance. If modification to the public packages under packages/ is necessary, a regression plan for affected templates must be generated first and relevant regression completed; the NSFC special tool is only used on demand when it clearly falls into the NSFC parameter alignment scenario.
This skill is applicable when users explicitly request to 'write/generate NSFC budget specification', 'write budget explanation', 'generate budget.tex / budget.pdf', or 'write NSFC budget justification'. Based on the user's proposal text or supplementary materials, output a submittable budget specification LaTeX project and render `budget.pdf`. If the user does not specify a working directory, you must pause and ask them to specify it first. ⚠️ Not applicable: Users only want to understand budget principles; users only want budget table figures without writing the specification; or users are in the 2026 Youth A/B/C default lump-sum scenario where no budget specification is required.
Write, revise, and polish SCI journal papers based on LaTeX paper projects. Defaults to AI autonomous mode, and also supports human-machine collaboration where only review plans are output; provides author-stylized writing, numerical fact verification, multi-round logical tree review, and a closed-loop PDF/Word rendering workflow. ⚠️ Not applicable: Format/style parameter-only modifications, pure reference management, image processing, non-paper writing tasks.
First onboarding and scaffolding creator for cheat-on-content. Unified process - all users follow the same 5-stage closed-loop, with the only difference being that users who have posted videos will have an extra step during init: fetch existing videos to build historical context (used for subsequent cheat-seed to provide more tailored topic suggestions and more accurate baselines). Trigger phrases: "Initialize" / "init" / "First use" / "I'm a new user" / "setup cheat-on-content". **Must be executed during the user's first session; other sub-skills will automatically route to this when .cheat-state.json does not exist.**