The official skillset consisting of core agent manuals to operate ChronoAI official services.
12 skills
为商户自动处理订餐咨询与预订请求,遵守每个订餐时段至少间隔1小时、单次最多4人及总座位数40人的规则,并准确回复可订状态。
Plugin merchant-auto-reply-booking from marketplace nyx-skills in ChronoAIProject/nyx-skills. Commands read from the repo's manifest — today.
merchant-auto-reply-booking为商户自动处理订餐咨询与预订请求,遵守每个订餐时段至少间隔1小时、单次最多4人及总座位数40人的规则,并准确回复可订状态。
The official skillset consisting of core agent manuals to operate ChronoAI official services.
12 skills
Turn an ambiguous request into scoped testable acceptance criteria with risks and edge cases.
1 skill
只读体检验收 canary 数据是否漂移、fixture 是否完好。用户提到“验收 fixture 漂移体检”、对应英文名称或要求运行该验收 workflow 时使用。
1 skill
Subject a claim to two independent skeptical reviews pass only if neither refutes.
1 skill
testing skill for aevatar bot
1 skill
Use when a user wants to create, edit, validate, publish, or explain an Aevatar Agent Profile; set purpose or instructions; bind exact Ornn skills and activation modes; restrict tool authority; or diagnose ETag, validation, publication, deployment exposure, or runtime binding. Agent Profile is a separate resource, not a workflow, member, team, service, or schedule. Use the opaque profileId, exact `{skillGuid, literalVersion, expectedName, expectedPublisherId}` references, strong ETags, accepted-vs-committed semantics, and capability detection before mutation.
1 skill
Business-domain pod templates for the federated business autopilot (ADR-164 Phase 2) — pod templates plus a dry-run-by-default single-tick runner that validates, reserves budget, and resolves agent roles before posting to the BBS room
1 skill
Shopify's AI Toolkit provides 18 development skills for building on the Shopify platform, covering documentation search, API schema access, GraphQL and Liquid code validation, Hydrogen storefronts, Polaris UI extensions, store management via CLI, and onboarding guidance for both developers and merchants.
Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of versionable .md files with a frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents alike. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, and generates conformant markdown concepts. 3 stdlib tools: scaffold_bundle (bundle scaffold), okf_linter (validates type/reserved files/links), index_generator (regenerates the index.md files). Standalone-installable; also bundled in c-level-skills. In English.
1 skill · 1 command · 1 agent
Skills and scaffolding commands for building shopping and merchant agents on Claude, covering architecture, prompt caching, UI tools, trust and safety, evals, and merchant operations.
6 skills · 4 commands
Verified-inventory agentic commerce over a hosted MCP server, with merchant and product discovery, agent-initiated checkout, and onchain brand, credit-risk, and repayment attestations.
1 skill · 1 MCP server
Use this agent to scan AWS accounts for cost optimization opportunities. Features 173 automated checks across 11 domains with AWS Compute Optimizer ML integration, data transfer analysis, and reservation recommendations. Includes Zero Hallucination Pricing System with 21 anti-hallucination rules for accurate savings estimates. Examples:\n\n<example>\nContext: AWS bill is too high\nuser: "Our AWS costs are out of control. Can you find where we're wasting money?"\nassistant: "I'll scan your AWS account for cost optimization opportunities. Let me use the aws-cost-saver agent to run 173 automated checks across all services."\n<commentary>\nComprehensive scanning across compute, storage, database, and networking services to identify idle resources and over-provisioning.\n</commentary>\n</example>\n\n<example>\nContext: Monthly cost review\nuser: "We need to cut AWS costs by 30% this quarter"\nassistant: "I'll analyze your AWS account for savings opportunities. Let me use the aws-cost-saver agent to identify quick wins and calculate potential savings."\n<commentary>\nReal pricing data from AWS Cost Explorer ensures accurate savings estimates.\n</commentary>\n</example>\n\n<example>\nContext: EC2 rightsizing\nuser: "Are our EC2 instances properly sized?"\nassistant: "I'll check for over-provisioned and idle instances. Let me use the aws-cost-saver agent with Compute Optimizer ML to get rightsizing recommendations."\n<commentary>\nML-powered analysis from AWS Compute Optimizer provides data-driven recommendations.\n</commentary>\n</example>
1 agent
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