LLM Mart Basic
@llm-mart · Joined Jun 2026
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. Use when the user provides CSV, Parquet, pandas, or database event data containing user
BTC 5分钟K线实时方向预测 + 币安预测市场错价套利(paper)。v6.0 真OFI驱动: 方向由当前K线原生 in-candle OFI 净流一票决定(ofi_n=2*(tb/v)-1, REST klines[9] 聚合, 零WS依赖; WS ofi.json 做新鲜度反转保护与交叉校准), 概率=P(close>open|ofi) 经验校准表+Bayesian shrink, edge=EV=p−ask 错价检测, 方向二选一无中性。13因子自v5.9起收敛到3个有证据信号且不再决定bias。黑天鹅防护: ATR spike+FNG<25。l
A股基金净值监控:盘中实时估值 + 盘后实际净值,定时推送到 Telegram。
Imported from aaaaqwq/agi-super-team/skills/a-share-analysis.
When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk tra
Expert sales execution covering pipeline management, discovery, demos, negotiation, and deal closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
Add company/person/relationship to CRM
Comprehensive ad account analysis across all major platforms (Google, Meta
AI-агент для управления Facebook рекламой. Вызывай для анализа, оптимизации, создания кампаний и отчётов.
Run internal compliance audits against major governance and security
Imported from aaaaqwq/agi-super-team/skills/afrexai-compliance-engine.
Complete personal finance system — budgeting, debt payoff, investing, tax optimization, net worth tracking, and financial independence planning. Use when managing money, building wealth, paying off debt, planning retirement, or optimizing taxes. Zero dependencies.
Imported from aaaaqwq/agi-super-team/skills/afrexai-prd-engine.
Use when managing post-purchase experience, building customer loyalty, or increasing repeat purchases
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Build agent from spec: code, skill, config, launchd
Imported from aaaaqwq/agi-super-team/skills/agent-capacity-modeler.
AI agent contacts — add, list, remove MCP contacts. Use when someone gives an agent URL, or when you need to view/remove contacts.
批量查看和切换子 agent 的模型配置,用于统一调整多 agent 的 provider/model 设置。
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.
/deploy-software
Deploy software
Stage and reconcile an ImmyBot desired-state software deployment to a tenant or computer
/list-computers
List computers
List and filter ImmyBot-managed computers, optionally scoped to a tenant
/maintenance-status
Maintenance status
Show ImmyBot maintenance session status — active sessions, or detail and logs for a specific session
/run-script
Run script
Find and execute an ImmyBot PowerShell script on a target computer (destructive, SYSTEM context)
/search-software
Search software
Search the ImmyBot software catalog (per-tenant + global)
/drift-report
Drift report
Portfolio-wide Inforcer baseline drift report — every managed tenant's alignment vs its assigned baseline, classified aligned / semi-aligned / drifted and sorted drifted-first, with secure score
/tenant-posture
Tenant posture
Single-tenant Microsoft 365 posture snapshot from Inforcer — secure score plus alignment score, band, and the per-policy drift detail against the tenant's assigned baseline
/classify-email
Classify email
Get an Ironscales AI verdict on a raw email, then act on it with a remediation action
/triage-incidents
Triage incidents
Triage open Ironscales phishing incidents — list by status and severity, investigate, and remediate
/get-quote
Get quote
Get a Kaseya Quote Manager quote with its sections and line items
/get-sales-order
Get sales order
Get a Kaseya Quote Manager sales order with its lines and payments
/list-quotes
List quotes
List Kaseya Quote Manager quotes, optionally scoped to a recent window
/add-note
Add note
Add a note or comment to an existing Autotask ticket
/check-contract
Check contract
View contract status, entitlements, and remaining hours for a company or specific contract
/check-pricing
Check pricing
Check pricing details for an Autotask product or service from price lists
/create-quote
Create quote
Create a new Autotask quote with line items for products, services, and service bundles
/create-ticket
Create ticket
Create a new service ticket in Autotask PSA
/expenses
Expenses
Use this skill when working with Autotask expense reports - creating reports, adding expense items, searching by status or submitter, and tracking reimbursable and billable expenses
/lookup-asset
Lookup asset
Search for Autotask configuration items/assets by name, serial number, or company
/lookup-company
Lookup company
Search for Autotask companies by name, ID, or other attributes
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