发现 AI Agent Skills

Configure Lokalise local development with file sync and hot reload. Use when setting up a development environment, configuring translation sync, or establishing a fast iteration cycle with Lokalise. Trigger with phrases like "lokalise dev setup", "lokalise local development", "lokalise dev environment", "develop with lokalise", "lokalise sync".

Use this skill whenever a question should be answered from documents stored in a LlamaCloud Index v2 knowledge base — retrieving passages, locating indexed files, or searching indexed content through the LlamaParse Platform REST API with curl. Teaches agentic retrieval — navigating an index like a file system instead of one-shot RAG.

Use when reviewing written code — your own or someone else's. Concerns finding what the code will cost later rather than what it violates now, and saying it in a way that can be acted on. Trigger on requests to review, critique, or give feedback on an implementation, and before handing off work you wrote. Do NOT use for debugging behaviour or for deciding what to build.

Build AI agents with Cloudflare Agents SDK on Workers + Durable Objects. Includes critical guidance on choosing between Agents SDK (infrastructure/state) vs AI SDK (simpler flows). Use when: deciding SDK choice, building WebSocket agents with state, RAG with Vectorize, MCP servers, multi-agent orchestration, or troubleshooting "Agent class must extend", "new_sqlite_classes", binding errors.

When the user wants to do developer advocacy activities including conference talks, live coding, podcasts, and building in public.

Use when implementing authentication/authorization, securing user input, or preventing OWASP Top 10 vulnerabilities — including custom security implementations such as hashing passwords with bcrypt/argon2, sanitizing SQL queries with parameterized statements, configuring CORS/CSP headers, validating input with Zod, and setting up JWT tokens. Invoke for authentication, authorization, input validation, encryption, OWASP Top 10 prevention, secure session management, and security hardening. For pre-built OAuth/SSO integrations or standalone security audits, consider a more specialized skill.

Fix dark video and control lighting levels with AI — brighten underexposed footage, dim overexposed clips, balance uneven lighting, and apply scene-by-scene brightness optimization. NemoVideo analyzes every frame and applies intelligent brightness correction: lifting shadows in dark indoor recordings, recovering detail in overexposed outdoor footage, balancing mixed-lighting environments, and ensuring consistent brightness across clips shot in different conditions. Fix dark video AI, brighten video, video brightness tool, exposure correction video, lighten dark footage, video lighting fix, adjust video brightness online, dark video enhancer.

[Documentation] Use when you need orchestrate all reference doc scans in parallel.

Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services. Use when introducing or refactoring toward Ports and Adapters, or when domain logic has become entangled with I/O.

Use when one Python service must send each agent's, tenant's, team's, or request's spans to its correct Arize space and project using application metadata. Covers dynamic OpenTelemetry routing for custom agent builders and multi-tenant applications, including register_with_routing, set_routing_context, multi-space tracing, and custom span routing.

The front door for this repo. With no argument: a 30-second intro, then an offer to walk you through your first run on the canary target. With a question: answers it from this repo's own docs and source, cites where it looked, and hands you the next command. Use for "how do I…", "why does…", "where is…", "can this…", or just "/quickstart" to get oriented.

Git workflows, branching strategies, collaboration, and code management

Evaluates whether substacker has the four preconditions for launching a paid tier — enough subs, healthy engagement, a clear candidate section, writer capacity. Produces readiness score (not-ready / close / ready) with named gaps. Used when the "should we launch paid?" question is selected or at writer's explicit request. Trigger keywords — paid tier, paid readiness, monetization, Substack paid, launch paid, 1000 subscribers.

Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.

Expert patterns for 2D/3D camera control including smooth following (lerp, position_smoothing), camera shake (trauma system), screen shake with frequency parameters, deadzone/drag for platformers, look-ahead prediction, and camera transitions. Use for player cameras, cinematic sequences, or multi-camera systems. Trigger keywords: Camera2D, Camera3D, SpringArm3D, position_smoothing, camera_shake, trauma_system, look_ahead, drag_margin, camera_limits, camera_transition.

Manages Fabric Spark work, including notebook cell code with %%configure, %%sql, PySpark and notebookutils, named notebook runs, Livy sessions, triage of failed or OOM notebook and pipeline Spark runs, and the Materialized Lake View (MLV) lifecycle. Load it before writing MLV SQL, since CREATE MATERIALIZED LAKE VIEW and its CONSTRAINT clause are Fabric-only. KQL materialized views belong to eventhouse-cli.

Use this to design a nice UI in single html as inspiration & UI exploration.

Comprehensive API design patterns covering REST, GraphQL, gRPC, versioning, authentication, and modern API best practices