AI & ML

lucassantana-dev Bundle

Route a task to the most fitting skill or agent. Parses user intent, checks installed-skill inventory, and picks the best match (single skill or chain).

lucassantana-dev Bundle

Shortcut for security review on current change set. Runs layered checks (secret-scan, dep-audit, semgrep, OWASP patterns, prompt-injection review).

lucassantana-dev Bundle

Orchestrate teams of specialized agents — DAG execution, task distribution, state sharing, failure recovery

lucassantana-dev Bundle

How you ask the model matters more than which model you ask. Two disciplines stop most AI coding failures before they start.

amekala Bundle

Paid-media advertising agent behavior for Adspirer — create, analyze, and optimize ad campaigns across Google Ads, Meta, TikTok, LinkedIn, Amazon, and ChatGPT Ads. Use for any request about ads, campaigns, budgets, keywords, creative, spend, ROAS, CPA, or ad performance. Sets the safety rules (campaigns are created paused, confirm before spending) and routes to the right Adspirer skill.

amekala Bundle

Paid-media advertising agent behavior for Adspirer — create, analyze, and optimize ad campaigns across Google Ads, Meta, TikTok, LinkedIn, Amazon, and ChatGPT Ads. Use for any request about ads, campaigns, budgets, keywords, creative, spend, ROAS, CPA, or ad performance. Sets the safety rules (campaigns are created paused, confirm before spending) and routes to the right Adspirer skill.

amekala Bundle

Paid-media advertising agent behavior for Adspirer — create, analyze, and optimize ad campaigns across Google Ads, Meta, TikTok, LinkedIn, Amazon, and ChatGPT Ads. Use for any request about ads, campaigns, budgets, keywords, creative, spend, ROAS, CPA, or ad performance. Sets the safety rules (campaigns are created paused, confirm before spending) and routes to the right Adspirer skill.

vanman2024 Bundle

Supabase-backed evaluation tracking with runs, cases, and scores tables. Use when storing eval results, building dashboards, or tracking regression over time.

vanman2024 Bundle

Integration Templates Skill

thewatcher01 Bundle

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

anujkumar8076 Skill

Use when the user wants to build an MCP server — exposing APIs, databases, or custom tools to AI agents via the Model Context Protocol.

anujkumar8076 Skill

Use when the user wants to create, test, or improve an agent skill — packaging instructions, runbooks, or workflows into a SKILL.md.

ligenjian001-ai Bundle

Standards and workflow for creating high-quality agent skills. Defines the documentation paradigm, quality checklist, and skill structure conventions.

ligenjian001-ai Bundle

Delegate tasks to any backend (CC, Codex, Gemini, DeepSeek). AG acts as orchestrator — prepares prompt, launches backend in tmux, monitors, and verifies results.

ligenjian001-ai Bundle

Diagnose and fix Antigravity IDE Agent Manager lag/stalling. Covers streamAgentStateUpdates polling storms, oversized conversation .pb files, VERY LONG TASK renderer blocking, and memory leaks.

ligenjian001-ai Bundle

Multi-agent bug investigation — dispatch bug to two independent Codex analysts (code + logic) for root cause analysis, AG synthesizes the verdict.

ligenjian001-ai Bundle

Transform an SDK/CLI/API project's interface to be agent-friendly. Assess maturity, generate documentation, audit quality. Trigger: 'agent化改造', 'make API agent-friendly', 'improve agent usability'.

ligenjian001-ai Bundle

Review a product/SDK/framework's core conceptual model — assess completeness, orthogonality, layering, and design the opening path. Trigger: '概念模型审计', 'concept review', '产品架构评估', 'API 概念梳理'.

opendcai Bundle

Reference documentation for the PromptedEvaluator operator. Use when: scoring text quality with LLM without filtering rows.

opendcai Bundle

Reference documentation for the PromptedRefiner operator. Use when: refining text with LLM, overwriting original column.

opendcai Bundle

Reference documentation for the UnifiedBenchDatasetEvaluator operator. Use when: evaluating model answers on benchmark datasets.

opendcai Bundle

Reference documentation for the BenchDatasetEvaluatorQuestion operator. Extended version of BenchDatasetEvaluator with question and subquestion support. Use when: evaluating answers with question context or multiple subquestions.

renanfranca Bundle

Create or revise a decision-complete normative software issue specification in .agent/specifications after repository research and focused user clarification. Use when the user asks to elaborate, specify, formalize, or refine an issue or requirements before implementation; do not use to implement the change or manage the resulting file in Git.

renanfranca Bundle

Run a controlled, auditable comparison of Codex models implementing one SPEC.md with Seed4J CLI. Use only when the user explicitly wants to create a public experiment repository, choose a model/reasoning-effort matrix, execute one new Codex task per result branch sequentially, and preserve each implementation and transcript for later evaluation.

renanfranca Bundle

Evaluate frozen Seed4J CLI model experiment branches produced by seed4j-cli-model-runner. Use only when the user explicitly wants an evidence-linked technical comparison, README, MODEL_EVALUATION.md, Apache License 2.0, and a pull request to the specification-only main branch without changing any implementation branch.

aisa-team-openclaw-starter-kit Skill

Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).

aisa-team-openclaw-starter-kit Skill

Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.

aisa-team-openclaw-starter-kit Skill

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

sentientsprite Bundle

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

greenmamba29 Skill

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joaquimscosta Bundle

Coordinate structured thinking and multi-agent parallel execution for complex tasks. Use when tackling multi-step projects, planning parallel work, breaking down complex problems, coordinating specialist tasks, facing architectural decisions, or when user mentions "workflow", "orchestration", "multi-step", "coordinate", "parallel execution", "structured thinking", "break this down", "plan this out", "how should I approach", or needs help planning complex implementations.

joaquimscosta Bundle

Expert guidance for Domain-Driven Design architecture and implementation. Use when designing complex business systems, defining bounded contexts, structuring domain models, choosing between modular monolith vs microservices, implementing aggregates/entities/value objects, or when users mention "DDD", "domain-driven design", "bounded context", "aggregate", "domain model", "ubiquitous language", "event storming", "context mapping", "domain events", "anemic domain model", strategic design, tactical patterns, or domain modeling. Helps make architectural decisions, identify subdomains, design aggregates, and avoid common DDD pitfalls.

ysyecust Skill

並行リポジトリ対応のレビューパスを使用して、スキル、コマンド、ルール、フック、エクストラを DAILY と LIBRARY のバケットに分類することで、特定のリポジトリ向けのエビデンスに基づいた ECC インストール計画を構築します。プロジェクトが完全なバンドルをロードする代わりに実際に必要なものに ECC をトリミングする必要がある場合に使用します。

fndlalit Skill

v3-qe-mcp

jackspace Bundle

Stable Diffusion Helper Skill

jackspace Bundle

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.