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Found 7,154 Skills
Orchestrate multi-service AWS workflows with autonomous agents. Coordinates across compute, storage, identity, and observability services for intelligent cloud automation.
Write effective AGENTS.md files that give coding agents the context they need to work in a repository. Use when creating a new AGENTS.md, improving an existing one, setting up a repo for AI coding agents, or onboarding agents to a codebase. Triggers on: "write AGENTS.md", "create AGENTS.md", "agent instructions", "set up repo for agents", "configure coding agent", "onboard agent to codebase", "agent context file".
Scaffold a traditional deterministic GitHub Actions CI/CD workflow. Use this when creating build, test, deploy, lint, release, or security scan pipelines. This is distinct from agentic workflows — no AI is involved at runtime.
(Industry standard: Loop Agent / Single Agent) Primary Use Case: Self-contained research, content generation, and exploration where no inner delegation is required. Self-directed research and knowledge capture loop. Use when: starting a session (Orientation), performing research (Synthesis), or closing a session (Seal, Persist, Retrospective). Ensures knowledge survives across isolated agent sessions.
Tiered memory system for cognitive continuity across agent sessions. Manages hot cache (session context loaded at boot) and deep storage (loaded on demand). Use when: (1) starting a session and loading context, (2) deciding what to remember vs forget, (3) promoting/demoting knowledge between tiers, (4) user says 'remember this' or asks about project history.
A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.
Coding conventions enforcement agent. Auto-invoked when writing new code, reviewing code quality, adding headers, or checking documentation compliance across Python, TypeScript/JavaScript, and C#/.NET.
Audits a local plugin directory to ensure it perfectly matches the Agent Skills and Claude Plugin Open Standards.
Interactive initialization script that generates an advanced Agent Skill utilizing L4 State Management, Lifecycle Artifacts, Tone Configuration, and Chained Commands. Use when authoring complex, persistent workflows.
Full-cycle install or update of the Spec-Kitty framework - upgrades the CLI, refreshes templates, syncs the plugin, reconciles custom knowledge, and bridges to agent environments. Custom skill (not from upstream spec-kitty).
Provides information about how to create, structure, install, and audit Agent Skills, Plugins, Antigravity Workflows, and Sub-agents. Trigger this when specifications, rules, or best practices for the ecosystem are required.
CRITICAL: Use for writing and editing agent-spec .spec files. Triggers on: write spec, create spec, edit spec, new spec, spec authoring, task contract, .spec file, BDD scenario, acceptance criteria, completion criteria, test selector, boundary, constraint, intent, decision, out of scope, "how to write a spec", "spec format", "spec syntax", "contract quality", 写 spec, 创建规格, 编辑合约, 任务合约, 验收标准, 完成条件, BDD 场景, 测试选择器, 约束, 意图, 决策, 边界, 排除范围, "怎么写 spec", "spec 格式", "spec 语法", "合约质量"