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Found 1,263 Skills
Strategic frameworks for Product/Business Owners. Use this skill for Product Market Research, defining Jobs-To-Be-Done (JTBD), understanding Diffusion of Innovations, planning MVPs, and separating deployment (Ship) from business launch (Release).
Use before any Luma / 拾光 / 拾光智能体 / 拾光工具 production workflow. Defines common luma-cli rules for auth, tool discovery, projects, artifacts, runtime resources, and safe agent behavior.
Use after backlog decomposition to define prioritization, MVP and release slices, sequencing, readiness, traceability, and JIRA-ready outputs, then score backlog quality for planning and estimation. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
Use when requirements are testable enough and you need to define QA scope, coverage priorities, test strategy, suite intent, test data needs, environment dependencies, and risk-based execution focus. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
Build networked games with Godot 4.x high-level multiplayer: set up an ENetMultiplayerPeer server/client, define RPCs with the @rpc annotation (call via rpc()/rpc_id()), set per-node multiplayer authority, and replicate state with MultiplayerSpawner and MultiplayerSynchronizer. Use when adding multiplayer/networking to a Godot project, writing @rpc functions, or syncing player/world state across peers.
How to write, test, and deploy an app with Prisma Composer (`@prisma/composer`): declare services with `compute()` and typed dependencies, define RPC contracts, compose Modules, declare the service input (config and secrets as one schema, read back with `input()`), compose the ready-made cron/storage/streams Modules, provision a raw S3-compatible object-store bucket with `bucket()`, find extensions (npm packages named `prisma-composer-*`), test with `mockService`/`bootstrapService`, run the whole app locally with `prisma-composer dev` and tail its logs with `prisma-composer log`, and deploy with `prisma-composer deploy` (stages, destroy). Use when building a Prisma App, wiring a service dependency, adding a Postgres database, adding scheduled jobs / blob storage / event streams / a raw bucket, writing tests for composed services, running an app locally, reading its logs, or deploying/tearing down an environment. Triggers on "prisma composer", "@prisma/composer", "prisma app", "compute()", "service.load()", "module()", "contract()", "mockService", "bootstrapService", "prisma-composer dev", "prisma-composer log", "prisma-composer deploy", "--stage", "--fresh", "--tail", "prisma-composer destroy", "prisma-composer-", "bucket()".
End-to-end Stellar development playbook. Covers Soroban smart contracts (Rust SDK), Stellar CLI, JavaScript/Python/Go SDKs for client apps, Stellar RPC (preferred) and Horizon API (legacy), Stellar Assets vs Soroban tokens (SAC bridge), wallet integration (Freighter, Stellar Wallets Kit), smart accounts with passkeys, status-sensitive zero-knowledge proof patterns, testing strategies, security patterns, and common pitfalls. Optimized for payments, asset tokenization, DeFi, privacy-aware applications, and financial applications. Use when building on Stellar, Soroban, or working with XLM, Stellar Assets, trustlines, anchors, SEPs, ZK proofs, or the Stellar RPC/Horizon APIs.
Create brand definition documents covering visual identity, tone of voice, brand guidelines, and brand assets. Use when establishing or documenting brand identity and ensuring consistent brand expression.
Activated when the user wants to create a data model, validate data, serialize JSON, create Pydantic models, add validators, define settings, or create request/response schemas. Covers Pydantic v2 BaseModel, Field, validators, data validation, JSON schema generation, serialization, deserialization, and settings management.
Crafts product positioning using April Dunford's positioning framework. Use when defining target customers, choosing categories, identifying alternatives, or articulating differentiated value. Based on Obviously Awesome methodology.
This skill should be used when the user asks to "create SLA", "service level agreement", "SLA definition", "SLA workflow", "task SLA", "breach", "response time", "resolution time", or any ServiceNow SLA Management development.
Use to enforce stage definitions, next-step requirements, and data completeness across the pipeline.