LLM Mart Basic
@llm-mart · Joined Jun 2026
Use this skill when a Legal or HR agent must hand a matter to another agent and the context, uncertainty, evidence quality, privilege posture, and privacy posture must survive the handoff. It defines the shared legal-hr-case-capsule — a controlled, auditable exchange record with
Use this skill to assign consistent risk labels to a Legal or HR matter — severity ratings, privilege and privacy sensitivity labels, retaliation and discrimination risk labels, matter-type classes, escalation-gate triggers, and the audit-log schema. It standardizes the vocabular
Use this skill when a Legal or HR matter must be classified and routed to the right specialist agent, when a matter crosses both domains and needs parallel review, or when Legal and HR agents disagree and the conflict must be resolved. It defines routing rules, the overlap handof
Use this skill when Microsoft 365 or Dynamics 365 licenses have been assigned and the organisation needs to measure adoption, instrument value outcomes, identify waste, and reclaim inactive licenses before purchasing more. Orchestrates microsoft-business-impact-value-realization-
Use this skill when a NetSuite matter must be classified and routed to the right specialist agent, when a matter crosses multiple NetSuite domains and needs parallel review, when a live-account mutation intent must be gated, or when specialist agents disagree and the conflict mus
Use this skill to coordinate the order-to-cash process across Dynamics 365 Supply Chain Management, Finance, and Sales, covering confirmed order through fulfillment, invoicing, accounts receivable, and cash collection. It defines stage ownership, gate conditions, agent handoff ru
Use this skill to orchestrate the procure-to-pay (source-to-pay) process across Dynamics 365 Supply Chain Management, Finance, and compliance-aware separation-of-duties governance. It coordinates the journey from purchase requisition through purchase order approval, goods or serv
Use this skill to review the cross-tier seams of revenue-critical journeys — checkout, payment submission, account creation, and login — for idempotency of money-moving and account-creating requests, server-side re-validation of client-enforced rules, webhook duplicate/out-of-ord
Use this skill when a Salesforce specialist agent must hand a matter to another agent and the context, uncertainty, evidence quality, privilege posture, and privacy posture must survive the handoff intact. Defines the shared salesforce-case-capsule — a controlled, auditable excha
Use this skill when a Salesforce data exposure event has been detected or is strongly suspected. Triggers include: guest-user data exposure via Experience Cloud, cross-org data sync without a Data Processing Agreement, regulated-data sync in Marketing Cloud without a consent map,
Use this skill when any proposed mutation to a live Salesforce production org must be evaluated before execution. This is a refusal-by-default gate: if any required precondition is missing, the skill stops and refuses. Required preconditions are target_org_identity, environment_t
Use this skill when a Salesforce matter must be assigned a standardized matter type, risk tier, or escalation gate before routing or handoff. Defines all matter types (org-config, automation, code, integration, security/IAM, data, sales/CPQ, service/SLA, experience-cloud, marketi
Use this skill when a Salesforce matter must be classified and routed to the right specialist agent, when a matter crosses multiple Salesforce domains and needs parallel review, or when specialist agents disagree and the conflict must be resolved. It defines routing rules per mat
Use this skill to statically review AI/BI Genie agent and dashboard design: agent scoping (30-table limit), instructions and trusted assets, metric-view correctness, dashboard limits and rendering, benchmark design and honest accuracy reading, and the critical 'Individual data' v
Use this skill to review Databricks data protection and privacy design for regulatory alignment and least-privilege enforcement: row filters and column masks, ABAC policies, data classification, deletion and GDPR erasure mechanics, Delta Sharing egress, residency and Geo constrai
Use this skill to design and verify data quality expectations, table constraints, Lakehouse Monitoring, freshness detection, event-log interrogation, quality SLAs, and downstream quality signaling for Lakeflow pipelines. Reads pipeline source, table schema, expectations, monitor
Use this skill to review a Declarative Automation Bundle configuration, authentication setup, and deployment flow against production readiness criteria: bundle structure, deployment modes, run-as identity boundaries, variable resolution timing, OAuth and environment-variable auth
Use this skill to statically review Databricks cost and cost-attribution: system.billing.usage and system.billing.list_prices for correct joins, custom-tag-based attribution with coverage-confidence reporting, DBU uptime charging semantics, serverless versus classic cost comparis
Use this skill to review generative-AI agent design on Databricks: Mosaic AI Agent Framework and ResponsesAgent interface, Databricks AI Search index variant and sync-mode choice, retrieval and context engineering, MCP server category and trust boundaries, external model-provider
Use this skill to review generative-AI evaluation, tracing, and observability design on Databricks: MLflow Tracing instrumentation and span design, trace storage and governance, `mlflow.genai.evaluate()` harness design, the judge-versus-scorer distinction, built-in judge selectio
Fourteen posts of being wrong in production, compressed to checkboxes
Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds
Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.
Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.
A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.
A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.
None of the safety came from the model. It came from six boring habits.
Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.
Six hours in, one step left, everything green, and the incident that didn't happen
CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.
Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it
An API request routing a model's tool call through an approval gate to a remote MCP server
31 config keys, two audits, and why the first one was wrong in both directions
The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.
Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.
Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.
"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks
stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.
The most important rule wasn't about what I could change. It was about what I was allowed to display.
Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.
/rollback-deploy
Rollback deploy
Rollback deployment to previous version
/rsi
Rsi
Read project commands and documentation to optimize AI-assisted development process
/run-ci
Run ci
Run CI checks and fix any errors until all tests pass
/security-audit
Security audit
Perform comprehensive security assessment
/security-hardening
Security hardening
Harden application security configuration
/session-learning-capture
Session learning capture
Capture and document session learnings
/setup-automated-releases
Setup automated releases
Setup automated release workflows
/setup-cdn-optimization
Setup cdn optimization
Configure CDN for optimal delivery
/setup-comprehensive-testing
Setup comprehensive testing
Setup complete testing infrastructure
/setup-development-environment
Setup development environment
Setup complete development environment
/setup-formatting
Setup formatting
Configure code formatting tools
/setup-kubernetes-deployment
Setup kubernetes deployment
Configure Kubernetes deployment manifests
/setup-linting
Setup linting
Setup code linting and quality tools
/setup-load-testing
Setup load testing
Configure load and performance testing
/setup-monitoring-observability
Setup monitoring observability
Setup monitoring and observability tools
/setup-monorepo
Setup monorepo
Configure monorepo project structure
/setup-rate-limiting
Setup rate limiting
Implement API rate limiting
/setup-visual-testing
Setup visual testing
Setup visual regression testing
/share-your-story
Share your story
Open the Build with Claude contribution guide for writing a community story
/simulation-calibrator
Simulation calibrator
Test and refine simulation accuracy with validation loops, bias detection, and continuous improvement frameworks.
VCP 部署在 AI 模型 API 与前端应用之间,是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架,将原本“无状态、无记忆、无工具调用能力”的大语言模型,彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
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