Build and evaluate predictive sports models from user-provided modeling data. Use for binary outcome models, feature/model selection, chronological backtests, probability scoring, and comparison to baselines.
Create new OpenClaw agents OR dispatch coding agents to visible terminal sessions. Use when: (1) user asks to create/spin up/forge a new agent, (2) user asks to build/dispatch/delegate a coding task to an agent, (3) user says 'have an agent work on this', (4) user wants parallel coding agents on separate tasks.…
Run ambitious one-shot websites, web apps, games, simulations, clones, motion pieces, or benchmarks through fresh isolated subagents. Use for one-shot web artifacts, catalogue ideas, or parallel model/harness variants.
Generate, edit, and batch-process images through the bundled script and configured API Key provider (OpenAI-compatible, Atlas, xAI, or Gemini). Use for photos, illustrations, product visuals, posters, covers, diagrams, UI references, game art, transparent subjects, reference-image edits, inpainting, multi-reference…
A repeatable workflow for analyzing a theme-based basket of stocks listed on China’s A-share market. It selects or builds a 10–50-stock group, checks money flow, technical indicators, valuation and profitability, then ranks the top five.
★not rated 49▲
+2 3d agoASkillSpector: pass435 tokens
originalMIT
A foundational meta-agent skill for generating Multi-Agent Systems (MAS). It systematically drives the process from conceptual task decomposition to agent engineering, and finally to workflow orchestration.
Use for every hardware bring-up or debug session that ports mainline Linux to a phone (Android handset). Requires an already-unlocked bootloader; locked devices are out of scope.
OpenCode entry skill for HuaweiCloud DevKit. Use when a developer asks OpenCode to use Huawei Cloud Skills, KooCLI, APIs, SDKs, future MCP tools, or low-priority Terraform guidance.
A tool that turns a pull request description or code-change summary into a practical test plan for reviewers and QA. It lists risks, test cases, setup needs, and regression checks.
Use when implementing Redis caching strategies, session management, pub/sub messaging, data structure operations, Lua scripting, transactions, clustering, persistence, and production Redis best practices. Covers all Redis data types, caching patterns, and client libraries.
A general response-style guide for keeping replies clear, concise, accurate, and consistent. It also sets rules for structure, language, and formatting.
Manage CloudRobo model training tasks and simulation reinforcement learning (SimRL) tasks — create pretrain (TRAINFROMSCRATCH) and finetune (MODELTUNING) tasks with FFT/SFT/LORA/QLORA/DEEPSPEED methods; manage the full task lifecycle (create/read/update/delete/stop/restart/resume/draft); save and resubmit draft…
🤖 Data Science & AI/ML skill suite derived from ComposioHQ/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
A set of rules for building runnable AI workflow apps in this repository. It covers TypeScript FlowBuilder graphs, custom nodes, shared context, supervision flows, and app configuration.
Use this skill whenever the user asks about unit test best practices, test organization, flat test suites, redundant tests, test refactors, pytest/JUnit/Jest/xUnit layout, test taxonomy, flaky tests, coverage quality, fixtures, mocks, parametrization, pruning existing UTs, or "which tests are worth keeping." It…
A framework for creating and managing AI-native workflows tailored to specific fields. It includes concepts such as intent refinement, quality agreements, phases, decisions, batches, and teams of AI agents.
★not rated 48 4mo agoA218 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: