发现 AI Agent Skills

Legal demands two things: frontier-level reasoning and precision document generation. CellCog delivers both. #1 on DeepResearch Bench (Feb 2026) for the intelligence that legal work requires, paired with state-of-the-art document generation for contracts, NDAs, terms of service, privacy policies, compliance reviews, and legal research. AI contract generator, legal document drafting, NDA creator, terms of service, privacy policy, compliance, legal AI.

Given a change_brief YAML (output from diff-intake), generates an exhaustive list of candidate analytics events to instrument. Takes the perspective of an engineer with a PM mindset — surfaces everything worth considering so a PM can decide what actually matters. Use this as step 2 of the analytics instrumentation workflow, immediately after diff-intake produces a change_brief. Trigger whenever a user has a change_brief YAML and wants to know what analytics events to add, or asks "what should I track for this PR", "what events should I instrument", "generate event candidates", or any request to surface analytics coverage gaps for a code change.

Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"

Create professional SVG logos from descriptions and design specifications. Generates multiple logo variations with different layouts, styles, and concepts. Produces scalable vector graphics that can be used directly or exported to PNG. Use this skill when users ask to create logos, brand identities, icons, or visual marks for their designs.

Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments. Use when exploring revenue models, evaluating pricing strategies, or deciding how to monetize a product.

A portable, framework-agnostic SEO system for any React or React Native-for-web frontend.

Generate prompts for AI image tools to produce modern ML/RL paper-style figures matching the aesthetic of recent ICLR/NeurIPS/ICML 2024-2025 publications. Key traits — pure white canvas, white panels with soft drop shadow, rounded friendly font (Nunito/Poppins), densely packed but uncluttered floating elements, small pastel token squares, rich inline illustrations, colored keyword text, pill-shaped concept labels. Trigger phrases — "pastel风格论文配图", "现代ML论文配图", "modern ML figure prompt".

Find which playlists an artist or whole catalog should target and where the placement gaps are — catalog-wide playlist strategy from research data. Use for "which playlists should we target", "placement gaps", "editorial vs algorithmic", or "which catalog tracks to push". This is desk strategy from data; to pitch ONE song from its audio use recoup-song-placement-pitch.

Browse, search, post, and moderate Reddit. Read-only works without auth; posting/moderation requires OAuth setup.

Next.js 16 portfolio with MDX blog/projects, Once UI, auto SEO, and endless theming.

When coding is done and changes need review → multi-dimensional code review (SOLID, security, quality, edge cases), outputs structured report.

Answer questions about LLM and agentic-application behavior from data already ingested into Elastic: latency and error rate, token and cost utilization, response quality and guardrail events, and agentic call-chain orchestration. Use when the user asks about LLM monitoring, GenAI observability, token spend or AI cost, model latency, prompt or guardrail failures, or how an agent's tool-call chain executed.

Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.

Diagnoses failing or setup-stuck GitHub Actions checks on a PR, identifies root cause, and proposes or applies targeted fixes. Triggers when the user asks to fix CI, diagnose failing checks, fix a failing workflow, address GitHub Actions errors, get a green build, or continue PR queue work without waiting on unrelated pending checks. Can run autonomously in a loop — fix, push, recheck — until all required checks are green when the user asks to loop on CI.

Provides comprehensive Tailwind CSS utility-first styling patterns including responsive design, layout utilities, flexbox, grid, spacing, typography, colors, and modern CSS best practices. Use when styling React/Vue/Svelte components, building responsive layouts, implementing design systems, or optimizing CSS workflow.

Expert-level toolkit for modular Godot 4.7+ CLI automation and headless build orchestration. Use when you need to: (1) Build complex scene trees or UI layouts programmatically, (2) Automate expert 3D asset pipelines (glTF -> Collision), (3) Optimize procedural geometry headlessly (CSG -> Static Mesh), or (4) Engineer production-grade CI/CD pipelines. Set GODOT_PATH env var for custom engine location. Keywords: Godot CLI, headless, CI, export, builder, 4.7.

Use when writing Unreal Engine C++ code involving UPROPERTY, UFUNCTION, UCLASS, TArray, TMap, delegates, FString, garbage collection, or smart pointers. Also use when the user asks about "UE C++", USTRUCT, UENUM, FName, FText, TObjectPtr, TWeakObjectPtr, UObject lifetime, UE_LOG, or UE subsystems. For module build configuration, see ue-module-build-system. For Actor/Component architecture, see ue-actor-component-architecture.

Review comments on a diff, delete narration and workaround sermons, fix accepted findings, and offer encodings for claimed constraints. Use before review or when asked to strip comments.